In this episode, I talk with Dr. Barrett Ames, co-founder of BotBuilt with a Ph.D. in artificial intelligence and robotics, about how robotic framing in residential construction is bringing speed and precision to the job site. We explore how construction robotics work and how builders are embracing this shift as automation in construction meets tradition in the field.
Engineering Quotes:



Here Are Some of the Questions I Ask Dr. Barrett Ames:

What inspired you to launch BotBuilt, and what were some of the early challenges you faced along the way in developing robotic framing in residential construction?
In what ways did going through Y Combinator shape your strategy and help you support the company’s growth in residential construction technology?
How does BotBuilt’s automated framing system work from the initial floor plan to the final on-site assembly in residential construction?
Besides reducing schedule risk, what other advantages does your robotic framing system offer to builders using construction automation solutions?
What steps do you take to earn builders’ trust and help them adopt a new way of doing things with construction robotics?
How do you see robotics and automation helping to solve labor shortages and increase efficiency in residential construction workflows?
What advice would you give to professionals who want to bring innovative technology like AI in construction into their workflows?

Here Are Some Key Points Discussed in This Episode About How Robotic Framing in Residential Construction Is Solving Labor Shortages:


BotBuilt begins with a personal renovation experience that highlights how ideal construction tasks are for robotic framing in residential construction. One early challenge is realizing that builders care less about technology and more about practical solutions that get the job done.
Y Combinator provides BotBuilt with access to a powerful network and credibility that attracts top talent. It also sharpens the team’s approach to fast iteration, early customer feedback, and understanding the startup metrics needed to grow in the construction robotics space.
The system starts by using AI in construction to read a floor plan and generate precise material and framing data. Robots then build wall panels with sub-inch accuracy, adjust for imperfect lumber, and deliver them ready for rapid on-site installation.
Builders typically save 20 to 40 percent on materials and see fewer framing errors. Inspectors often recognize the consistent quality of BotBuilt projects, which helps streamline approvals and reduce costly delays in residential construction technology.
The team starts with simple deliverables like fast, accurate takeoffs that builders can verify. By asking questions, adapting to existing workflows, and demonstrating value over time, BotBuilt builds credibility and trust in automation in construction.
Robotics makes construction more appealing by bringing advanced tools into the field and changing outdated perceptions. Construction robotics help crews work faster and smarter, which is essential as the skilled labor gap continues to grow.
Technology should always serve the people who use it. Success depends on understanding user needs, building trust, and creating solutions that work within real-world conditions in residential construction.

More Details in This Episode…
About Dr. Barrett Ames
Barrett Ames is the co-founder of BotBuilt, a construction robotics company pioneering the use of intelligent automation to transform how wood-frame structures are built. He holds a Ph.D. in artificial intelligence and robotics from Duke University and brings a multidisciplinary background that blends software engineering with mechanical, electrical, and mathematical expertise.

In this episode, I talk with Ish Keener, SE, PE, director of building enclosures at Sustainable Building Partners, about building enclosure commissioning and its role in turning design into real building performance verification. We delve into how forensic engineering in construction improves future projects, and how AI in engineering workflows is reshaping the way teams operate.
Engineering Quotes:



Here Are Some of the Questions I Ask Ish Keener, SE, PE:

What are some main challenges in turning a building design into a durable, high-performing structure, and how can engineers help make sure it meets expectations?
Please explain what building enclosure commissioning is, and do you have an example of how it's used to meet an owner's goals?
Can you share a specific project where you tested for things like air tightness, and explain whether that was something the owner specifically asked for or was it part of a larger goal?
Are there any emerging technologies you're excited about, and how do you see them changing the way you and your team work?
How do you help team members, who aren’t naturally drawn to AI, understand its value and to start using it?
If AI saves time on deliverables, how do you think firms should adapt their business models to stay profitable?
Do you think switching from hourly billing to lump sum contracts makes sense for firms using AI and other time-saving tools?
What’s the biggest difference between working on new construction and existing buildings, and what insights can engineers gain from retrofit or forensic projects?
What final piece of advice would you give younger professionals who are just starting out or trying to keep up with all the changes happening in the industry?

Here Are Some Key Points Discussed in This Episode About How AI and Building Enclosure Commissioning Are Revolutionizing AEC Projects:


Translating design into performance requires coordination, verification, and clear alignment with the owner's goals throughout the project. Engineers support this by commissioning test systems, confirming performance, and guiding collaboration from design through occupancy.
Building enclosure commissioning is the process of bringing a building into proper working order by validating performance across every project phase. It helps owners meet their objectives through defined expectations, performance testing, and continuous feedback during design and construction.
In a recent renovation at Penn State, the owner emphasized long-term durability, which made air tightness and leak prevention a priority. The team developed a test plan to verify performance at key transitions using ASTM methods based on the owner’s stated requirements.
Artificial intelligence tools significantly reduce time spent on repetitive and technical tasks. Teams now explore solutions like ChatGPT and Replit to create internal tools and improve workflow across all phases of a project.
Encouraging others to try AI tools through real project examples and hands-on use is the most effective approach to help them understand its value. Once they experience what technology can do, they often recognize its benefits and say they wish they had started sooner.
Firms benefit by shifting focus from billing time to delivering value. Clients pay for solutions, not effort, so faster work powered by AI should still command fair compensation.
Project lump sum models align better with AI-driven efficiency because they reward results instead of time spent. This structure helps firms improve margins while still meeting client expectations.
Existing building work reveals hidden conditions that frequently differ from the original plans, requiring careful investigation. These insights help engineers understand what has failed in t...

In this episode, I talk with Jigar Desai, PhD, PE, MBA, Principal and Regional Manager at ECS Limited, about how AEC firms can lead with purpose, embrace blue ocean strategies, and drive AEC industry innovation that truly moves the industry forward.
Engineering Quotes:



Here Are Some of the Questions I Asked Jigar:

What is the shiny object trap in tech adoption, and how can AEC firms avoid it to focus on solving real business problems?
How has combining your technical background with business experience shaped the way you lead teams and mentor the next generation?
What are blue ocean strategies, how have you used the ERRC framework to create new value, and how can AEC firms apply this approach to better serve their clients?
What are some ways you help your technical teams stay motivated and adaptable during times of constant change?
How do you identify new strategic growth opportunities beyond traditional AEC services, and what does it take to succeed in those areas?
How can strategic mergers and acquisitions help firms gain niche capabilities and drive innovation?
What final piece of advice would you give to AEC professionals who want to stop just reacting and start leading the industry into the future?

Here Are Some Key Points Discussed in This Episode About How Blue Ocean Strategies Unlock Strategic Growth and Innovation in the AEC Industry:


Many AEC firms fall into the trap of adopting trendy tools without first defining the problem they need to solve. To avoid this, teams should clarify workflows, test solutions through small pilots, and choose tools that create measurable business impact.
A leader who understands both engineering and business creates stronger teams by encouraging learning across disciplines. This approach helps people think beyond their roles, challenge outdated processes, and contribute solutions with real value.
Blue ocean strategies allow AEC firms to break free from crowded markets by uncovering untapped needs and delivering unique solutions. Through the ERRC framework, teams streamline processes, cut unnecessary costs, enhance client value, and develop services that set them apart in the industry.
To keep teams engaged during change, leaders connect daily work to a larger purpose-driven leadership mission and celebrate small wins. They also give people the freedom to shape how change happens and involve them in decision-making early on.
Identifying AEC industry innovation and growth opportunities starts with looking ahead to client needs that may not exist yet. Successful firms combine geographic expansion with deeper technical capabilities to deliver services others cannot easily replicate.
Strategic M&A works when driven by a clear vision that adds value beyond headcount or geography. The right acquisition brings new skills, fills capability gaps, and creates a platform for long-term innovation and growth.
AEC professionals who want to lead should stay curious, keep learning, and understand why their work matters. By grounding decisions in purpose and remaining open to new ideas, they build momentum that drives the industry forward.

More Details in This Episode…
About Jigar Desai, PhD, PE, MBA
Jigar Desai is an entrepreneurial leader in the architectural, engineering, and construction (AEC) industry, recognized for driving strategic growth, building high-impact teams, and leading transformational initiatives that deliver measurable results. With a Ph.D. in civil engineering from Clemson University and currently pursuing an Executive MBA at Villanova School of Business, Jigar blends technical expertise with visionary leadership.

He has held senior leadership roles for nearly two decades, including his current position at ECS Limited,

In this episode, I talk with Rex Hansen, Principal Product Manager for the ArcGIS Maps SDKs for Native Apps and ArcGIS Maps SDKs for Game Engines at Esri, In this episode, I talk with Rex Hansen, about how immersive digital twins in AEC are revolutionizing the way we plan.
Engineering Quotes:



Here Are Some of the Questions I Asked Rex:

Can you explain what GIS and SDK stand for and how they work together?
How did the idea of using game engines with GIS come about, and how is that helping create immersive digital twins in AEC?
Can you share some real-world examples of how AEC professionals are using ArcGIS Maps SDKs for planning, visualization, or client engagement?
How do your SDKs help AEC teams access geospatial data in low-connectivity environments or with offline access?
How are tools like Unreal Engine and Unity starting to use real-world sensor or IoT data, and how does that improve communication compared to traditional CAD or BIM?
How can combining GIS with game engines support smart cities and better infrastructure planning at a large scale?
What upcoming AEC technology trends in GIS and immersive technology are you most excited about over the next five to ten years?
What advice would you give AEC professionals who want to stay ahead as geospatial technology and immersive design keep evolving?

Here Are Some Key Points Discussed in This Episode About Immersive Digital Twins in AEC: Revolutionizing Infrastructure with GIS and Game Engines:


GIS stands for Geographic Information System and is used to capture, manage, and analyze both 2D and 3D geospatial data. SDKs, or Software Development Kits, provide developers with the tools to build custom applications that bring GIS data to life in interactive environments.
The rise of mixed reality tools sparked interest in merging geospatial data with real-time visualization. AEC professionals now use game engines to create immersive digital twins in AEC workflows that improve communication and stakeholder engagement.
Firms such as Halcyon Levine are using ArcGIS Maps SDKs with Unreal Engine to transform city planning into interactive, visual experiences. Their work in St. Louis shows how digital twins can support community input, attract investment, and guide redevelopment projects.
ArcGIS Maps SDKs allow users to download and store 3D data locally so they can access information without a live connection. This makes it possible for field teams to view and interact with accurate geospatial models in low-connectivity environments.
Unreal and Unity now support integration with IoT and real-time sensor data, allowing users to see dynamic environments that reflect real conditions. These tools reduce the need for interpretation by presenting accurate, visual information that mirrors what is happening in the real world.
GIS and game engine integration enables the creation of digital ecosystems that can be explored in detail by planners, policymakers, and the public. Applications like UrbanXR allow for collaborative urban design and immersive decision-making.
Trends such as GIS-BIM integration, high-resolution 3D capture, AI-driven insights, and wearable XR technology are reshaping how the AEC industry works. These AEC technology trends improve accuracy, enable real-time planning, and enhance the way teams visualize and simulate future projects.
AEC professionals benefit by starting with a strong GIS foundation and gaining familiarity with game engine technology. Progress comes from learning through small wins, showing value early, and building solutions that work for both technical and non-technical users.

More Details in This Episode…
About Rex Hansen
Rex Hansen is a principal product manager at Esri,

In this episode, I talk with Daniel McCormick, chief revenue officer at BQE Software, about how real AEC software support, not just better software, is key to solving today’s AEC challenges and driving future-proof growth through smarter tech, stronger strategy, and hands-on guidance.
Engineering Quotes:



Here Are Some of the Questions I Asked Daniel:

Why do you think software companies need to provide ongoing support, not just deliver a product, when working with AEC firms?
What are some common misconceptions AEC firms have about operational efficiency, and how can practical support help them improve without completely overhauling their processes?
How is BQE supporting AEC firms as they navigate major changes like AI, workforce shifts, and growing competition?
What generational shifts are you seeing in the AEC industry, and how can leaders use support and technology to adapt while keeping people and workflows aligned?
How do you measure long-term success in supporting AEC firms as they grow and adapt, and can you share an example of what that looks like in action?
What final piece of advice would you give AEC professionals who want to use both technology and support to build stronger, future-ready firms?

Here Are Some Key Points Discussed in This Episode About Why AEC Software Support Fuels Innovation and Real Firm Growth:


Successful software companies provide AEC software support by consistently improving their tools and offering real guidance. Instead of just selling licenses, they reinvest in both technology and client support to help firms adapt, grow, and work more efficiently. This approach defines effective AEC software support.
Many AEC firms assume that boosting efficiency means a full overhaul, but real progress comes from steady, incremental improvements. By refining their existing systems year after year, firms can reduce risk, improve workflows, and achieve better outcomes with less disruption. AEC software support enables this type of ongoing optimization.
BQE supports its clients by staying ahead of industry shifts through AI integration, mobile capabilities, and smart automation. These features cut down on manual tasks, help firms respond to workforce changes, and enable faster, data-informed decisions—all made possible through reliable AEC software support.
As older firm owners transition leadership to a more tech-savvy generation, younger staff are expecting mobile-friendly, intuitive tools. Leaders can navigate this shift by selecting technology that fits employee habits and strengthens current workflows, rather than replacing them. This is where AEC software support plays a crucial role in easing generational transitions.
BQE measures long-term success by tracking user feedback, platform adoption, and how firms adapt during challenging periods. For instance, when projects stall, firms using BQE’s CRM often pivot quickly to secure new work, demonstrating agility in action. These results reflect the impact of strong AEC software support.
AEC professionals don’t need to master every new system. Choosing the right AEC software support partner is key to that strategy.

More Details in This Episode…
About Daniel McCormick
Daniel McCormick is a seasoned sales and operations executive with a proven track record of scaling high-growth organizations, particularly in the SaaS sector. Currently serving as the chief revenue officer at BQE Software, Daniel plays a pivotal role in leading the company's revenue strategy and supporting architecture and engineering professionals through cutting-edge professional services automation (PSA) solutions.

A founding team member at Groupon and co-founder/COO of Kapow.com, Daniel has consistently driven growth across a range of software companies serving th...

In this episode, I talk with Srinivas Chippagiri about how AI in software development is transforming the engineering landscape by speeding up development, supercharging DevOps, securing the cloud, and reshaping chip design.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Srinivas:

What are the main areas your research focuses on, and why did you choose to explore those specific fields?
How is AI in software development changing the field, especially in areas like coding, DevOps, and QA?
In what ways is AI helping cloud infrastructure teams manage resources more effectively and build stronger systems?
Can you give a real-world example of how intelligent workload management works?
What challenges do companies face when trying to scale AI solutions, and how have you seen them successfully overcome those issues?
What long-term innovations do you hope your research will lead to in cloud infrastructure or AI systems?
Which skills and leadership qualities do you think will matter most as AI continues to evolve?
How do you see the relationship between humans and AI developing in day-to-day work?
What advice would you give AEC professionals who want to use AI not just as a tool but as a mindset for growth and innovation?

Here Are Some Key Points Discussed in This Episode About How AI in Software Development Is Transforming the AEC Industry:


Srinivas’ research focuses on cloud computing, virtualization, and integrating AI into modern systems to solve issues like scalability, performance, and security. These domains reflect urgent industry needs and offer practical solutions to infrastructure limitations.
AI in software development transforms the process by generating code, improving test coverage, and identifying bugs in real time. In DevOps and QA, AI tools reduce downtime and accelerate delivery by analyzing logs, detecting anomalies, and adapting to system changes.
AI improves cloud infrastructure by predicting demand, automatically scaling resources, and preventing failures before they happen. It enhances system performance and uptime through real-time optimization and intelligent workload distribution.
AI models use historical data to anticipate traffic spikes and trigger pre-scaling and cache warming in Kubernetes environments. This approach ensures low latency and uninterrupted user experiences across high-demand systems.
Common challenges include low-quality data, outdated infrastructure, and limited transparency in AI models. Success comes from modernizing systems, adopting model governance practices, and forming multidisciplinary teams to guide implementation.
Future systems are expected to self-optimize, detect risks, and comply with regulations in real time. AI-driven infrastructure aims to improve sustainability, reduce carbon output, and maintain reliability at hyperscale.
Skills like systems thinking, ethical decision-making, and cross-functional collaboration become increasingly important. Leaders play a key role in guiding responsible AI use and promoting fluency across technical and strategic areas.
Human-AI collaboration shifts toward a co-pilot model where AI manages repetitive and data-heavy tasks. Teams gain more time to focus on creative problem-solving, architecture, and strategic planning.
Adopting AI as a mindset starts with identifying manual or reactive processes that can be improved through automation. AEC professionals benefit by investing in data culture, continuous learning, and solution-based experimentation.

More Details in This Episode…
About Srinivas Chippagiri
Srinivas Chippagiri is a highly skilled software engineering leader with several experienc...

In this episode, I talk with Aaron Szalaj, PE, PMP, Digital Practice Leader, and Scott Posey, Manager of Enterprise Analytics at Stanley Consultants, about turning everyday data into smarter decisions using practical, scalable solutions and tools like Power BI to uncover insights and boost project outcomes through data visualization in engineering.

***The video version of this episode can be viewed here.***
Engineering Quotes:





Here Are Some of the Questions I Asked Aaron and Scott:

How do you help clients choose the right data visualization or management tool, and what factors influence that decision?
What should organizations focus on during a physical system audit to ensure they’re collecting the right data?
What are some common data blind spots companies run into, and how can visualization tools help uncover them?
What are the biggest mistakes companies make when trying to implement new data tools, and how can they avoid them?
How do you bring together data from different systems into one platform like Power BI, and can you share a real-world example where this made a difference?
How does cybersecurity play a role when selecting and setting up data tools?
Can you walk us through a transportation project you worked on involving crash data and how data visualization in engineering helped achieve the goals?
How can companies make smart data decisions even when they have tight budgets by using KPIs effectively?
What advice would you give to someone just starting their data journey who wants to use visualization tools without getting overwhelmed?

Here Are Some Key Points Discussed in This Episode About Expert Tips for Better Data Visualization in Engineering:


Each client starts their data journey at a different point, so the team builds solutions based on current tools and familiarity. By understanding needs and comfort levels, they guide clients toward platforms like Power BI or stick with Excel when it makes more sense.
A proper audit checks if the organization collects the right data from the right sources and systems. This foundational step ensures that future visualizations deliver accurate insights and support smart decision-making.
Blind spots often happen when valuable data lives in forgotten Excel files on someone's computer. Visualization tools help uncover hidden sources and bring everything into one central place the entire team can access.
One common mistake is expecting fast results without building the right foundation. Success depends on realistic planning, proper budgeting, and a clear understanding of the time needed to implement effective solutions.
The team builds middle layers to connect systems that do not naturally communicate, frequently using custom archiving and unique identifiers. This approach helped one utility track real-time progress and financial data together in a single dashboard—demonstrating the impact of data visualization in engineering.
Cybersecurity becomes critical when data is centralized, making it more accessible and more vulnerable. Teams work directly with IT departments to ensure all data systems follow secure policies from the beginning.
Crash data from multiple sources was cleaned, mapped, and analyzed to identify dangerous intersections and conditions. The result gave transportation agencies a clear starting point for improving road safety in targeted areas using data visualization in engineering tools.
Smart planning allows companies to phase their data efforts based on budget and key performance goals. Teams break the work into manageable steps that bring value over time without overwhelming resources.
Start small with simple tools and solve one clear problem that brings quick results.

In this episode, I talk with Michael Ramos, president of Raymond, about what it really takes for a small firm to lead in tech, sharing how his team turns AI in the AEC industry into action and builds innovation from the inside out, all without burning out.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Michael:

What first got you interested in exploring AI in the AEC industry and innovation at Raymond?
What are some of the challenges you’ve faced trying to balance innovation with your day-to-day responsibilities?
Can you explain what your internal innovation working group does and why you decided to create it?
What are some ways you’ve helped turn AI from a buzzword into something useful at Raymond?
Can you share a few examples of how AI tools for engineers or tech tools have made a real difference in your work?
How do you measure whether your innovative efforts are working, especially with limited resources?
How can a small AEC business stand out as a tech leader even if they don’t have a big budget?
What piece of advice would you give to someone who wants to lead innovation in their firm, no matter how big or small it is?

Here Are Some Key Points Discussed in This Episode About How AI in the AEC Industry can Unlock Powerful Results for Small Firms:


Recognizing inefficiencies in routine fieldwork drives early interest in using technology to improve the process. Simple tasks taking too long reveal clear opportunities for smarter solutions through emerging technologies in engineering.
Working with limited resources means innovation often requires creative funding and internal prioritization. As a small business, Raymond must be selective about which tech ideas to pursue and when.
The innovation group encourages team members to explore new tools and share feedback every two weeks. It creates space for experimentation while uncovering ideas directly from those doing the work.
AI in the AEC industry is applied to speed up proposal development, generate project resumes, and assist with everyday tasks. These practical uses show that AI tools for engineers can directly support productivity and efficiency.
AI cuts hours of manual work on proposals and document creation, saving time across departments. Tools also help streamline content formatting and information gathering for client deliverables.
New tools are compared directly against traditional methods to evaluate time and accuracy. When AI versions consistently outperform manual processes, the return on effort becomes clear.
Small firms can lead by staying curious, trying available tools, and creating space for experimentation. Agility and initiative often outweigh size when it comes to adopting engineering firm innovation strategies.
Start by building a team interested in solving problems and testing ideas. Open collaboration and early exploration help generate momentum and surface new solutions.

More Details in This Episode…
About Michael Ramos
Michael Ramos is the president at Raymond, a minority and veteran-owned small business that provides full A/E services. After joining Raymond in 2017, Mr. Ramos has worked to grow Raymond's engagement and presence in the federal market and leads Raymond’s internal research & development (IRAD) program, which is currently developing multiple AI-based and software solutions for the A/E/C industry. Prior to Raymond, Mr. Ramos was the director of analysis at DeWolff, Boberg & Associates and a senior associate with Booz Allen Hamilton. Mr. Ramos holds a B.S. in chemical engineering from MIT and an M.S. in chemistry from Tufts University.
About the Host: Nick Heim, P.E.
Nick Heim, P.E.,

In this episode, I talk with Alan Grosheider, founder and chairman of Blue222, about the revolutionary impact of AI agents in real estate and real estate automation. From AI-powered inspections to accelerating closings, we explore how Blue222 is redefining automated due diligence for a faster, smarter industry.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Alan:

How are AI agents in real estate changing the industry right now, and what role do you think they will play over the next five to ten years?
What makes Blue222’s automation for bidding and scheduling different from other platforms, and how is it helping engineers and real estate professionals?
How big is the market opportunity that Blue222 is aiming to capture with real estate workflow automation?
Can you tell us about your team and how their background has influenced the direction of your company in property technology?
What can you tell us about your current funding round, and how will the investment help grow the business?
What challenges have you faced bringing automation into industries that are usually manual, and how have you overcome them?
What final piece of advice would you give to AEC professionals who want to lead or build tech solutions in industries that are slow to change?

Here Are Some Key Points Discussed in This Episode About How AI Agents in Real Estate Offer Valuable Automation:



AI agents in real estate are transforming the industry by enabling digital tools to handle property searches, scheduling, and AI-powered inspections with speed and precision. Over the next decade, professionals who leverage these tools gain a major advantage in productivity and client service.
Blue222 replaces manual emails and spreadsheets with real-time real estate workflow automation that streamlines bidding and scheduling. Its smart platform connects the right vendors to the right projects instantly, saving professionals time and improving project efficiency.
Blue222 targets a global real estate services market worth trillions, starting with inspection-driven transactions. By removing repetitive tasks, the platform helps vendors reclaim hours each day with smart real estate tools and positions itself for massive, long-term growth.
The leadership team at Blue222 brings deep property technology experience and a history of scaling billion-dollar platforms. Their strategy is clear—build seamless backend automation that enhances existing systems without competing against them.
Capital raised is being used to enhance Blue222’s AI capabilities and expand its development team. By focusing on lean operations and scalable technology, the company is setting the stage for rapid growth and greater impact.
Adoption is the biggest challenge—many professionals hesitate to change established processes. Blue222 overcomes this by delivering intuitive tools that produce clear results, building trust through consistent value.
Leading in slow-changing industries requires choosing the right early partners and staying committed to the vision. Those who persist and build solutions that truly solve problems create lasting impact and drive meaningful progress.

More Details in This Episode…
About Alan Grosheider
Alan Grosheider is the Founder and Chairman of Blue222, a pioneering SaaS company revolutionizing the $90B+ real estate inspection market through AI and workflow automation. With a background in mechanical engineering from Purdue University and decades of leadership in environmental and due diligence services, Alan is transforming how inspections are ordered, scheduled, and managed. Under his direction, Blue222 has evolved into an intelligent marketplace that elimin...

In this episode, I talk with Dr. Shirley Dyke, Donald A and Patricia A Coates Professor of Innovation in Mechanical Engineering at Purdue University, and Dr. Vedhus Hoskere, Assistant Professor of Civil and Environmental Engineering at the University of Houston, about how artificial intelligence in structural engineering can be strategically leveraged to boost productivity, enhance decision-making, and strengthen resilience across the AEC industry.

***The video version of this episode can be viewed here.***
Engineering Quotes:





Here Are Some of the Questions I Asked Shirley and Vedhus:

How can structural engineers use AI to improve productivity in their work?
What’s the best way to figure out which AEC problems are a good fit for AI solutions?
Can you share an example of a structural engineering project where you used AI and explain how you handled the challenges?
How do you make sure AI tools stay aligned with engineering judgment and safety standards?
What role do engineers and institutions play in building long-term trust in AI systems?
What is the vision behind the VISER Center, and how is it helping speed up AI adoption in structural engineering?
How can engineers start learning about AI and using its tools, even if they don’t have a background in data science?
What final piece of advice would you give to AEC professionals who want to stay ahead and lead during this shift toward AI in engineering?

Here Are Some Key Points Discussed in This Episode About How Artificial Intelligence in Structural Engineering Delivers Powerful Results:


Artificial intelligence in structural engineering increases productivity by helping engineers retrieve critical information quickly and generate innovative design suggestions. It enables the exploration of more possibilities while maintaining control and upholding safety standards.
The best-fit problems for AI are those involving repetitive tasks like searching past designs, interpreting codes, or generating design alternatives. These practical AI applications in engineering show where AI adds value without replacing expert judgment.
Digital twin development for bridges exemplifies how artificial intelligence in structural engineering supports data-driven maintenance decisions. Training AI models on real and synthetic data improves accuracy in identifying structural elements and streamlines inspection and design workflows.
AI remains aligned with safety and professional standards through constant human oversight, rigorous validation, and an awareness of its limitations. Engineers play a key role by staying involved and verifying that outcomes meet expected results.
Engineers and institutions build trust by working together to test, refine, and openly discuss AI applications. This collaboration is key to bridging AI and engineering education while evolving tools with transparency and accountability.
The VISER Center promotes the use of artificial intelligence in structural engineering by enabling collaboration between students, researchers, and industry. It accelerates the adoption of AI through affordable, impactful research and professional training.
Engineers begin by exploring available tools and joining industry conversations. Curiosity—not a technical background—drives understanding and opens the door to meaningful participation in the future of engineering with AI.
AEC professionals stay ahead by experimenting with AI now, even in small ways. This is the key to developing engineering and AI career skills needed for tomorrow's challenges.

More Details in This Episode…
About Shirley Dyke, PhD
Professor Shirley J. Dyke is the Donald and Patricia Coates Professor of Innovation in Mechanical Engineering at Purdue U...

In this episode, I talk with Erin Khan, LEED AP, BD+C, EIT, founder of Erin Khan Consulting, about how firms can successfully implement and scale new software to support tech adoption in AEC without disrupting workflows and how to maximize its impact.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Erin:

How does a firm's size and tech-savviness affect its ability to adopt and scale new construction software?
What should AEC firms consider when deciding whether to use AI tools instead of traditional software?
What are some common misunderstandings AEC firms have about digital transformation in construction, and how can they shift their mindset to adopt new technology more effectively?
What should firms have in place before testing or trying out new software, both in the field and at the leadership level?
What major challenges do AEC firms face when adopting new tech, and how can construction tech startups better match their tools to what the industry really needs?
What final piece of advice would you give to AEC professionals looking to roll out new software in their organizations?

Here Are Some Key Points Discussed in This Episode About How to Successfully Maximize Tech Adoption in AEC WITHOUT Disrupting Workflows:


Firms vary widely in how they approach technology adoption, depending on their size and openness to change. A tech-friendly culture helps smaller firms move fast, while larger firms may struggle despite having more resources.
AI in construction requires more than enthusiasm—it demands careful attention to data privacy, ownership, and ethical use. Firms must train their teams, establish clear policies, and build a culture of responsible innovation to ensure long-term success.
Adopting new construction technology can feel overwhelming, so breaking it into small, manageable steps helps teams absorb change effectively. Creating a supportive culture and digital transformation mindset makes it easier to attract talent and stay competitive in a rapidly evolving industry.
Before piloting new tools, firms need a clear understanding of the problem they're solving and a documented set of goals. Success in tech adoption in AEC depends on engaged champions in the field, leadership support, and alignment with long-term strategic objectives.
Hiring from diverse educational and professional backgrounds opens doors to fresh talent and new ideas in AEC technology roles. Technology should act as a tool that empowers people—not replace them—serving as a multiplier for impact, not a substitute for expertise.
Clear, step-by-step guidance helps ensure consistent use of new tools and reduces confusion for all users. Construction tech startups and solution providers should test their tools in real-world conditions to build empathy, improve usability, and deliver meaningful results.
The AEC industry may be slow to adopt change, but that pace gives forward-thinking firms time to adapt strategically. Staying informed through expert insights and industry-specific resources helps organizations prepare for disruption and future-proof their business.

More Details in This Episode…
About Erin Khan, LEED AP, BD+C, EIT
Erin Khan is an established AEC technology leader with over a dozen years combined experience in construction operations, data and process analysis, and software implementation. Founded by Erin Khan Consulting in 2023, she currently provides technology and innovation services to both contractors and construction technology startups. Prior to founding EKC, Erin served as the National Director of Construction Solutions for Suffolk Construction, overseeing national technology and innovation operations. Erin holds a B.S.

In this episode, I talk with Peter Nabhan, PE, PMP, LEED AP BD+C, senior national practice leader at ECS Group of Companies, about how AEC leaders can lead digital transformation in AEC, harness AI for sustainable impact, and empower the next generation to tackle the industry's biggest challenges.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Peter:

How do you define AI’s role in the AEC industry today, and what are some of its most promising near-future applications?
What are some of the biggest misconceptions about AI in the AEC space, and how can firms begin integrating AI in a meaningful way?
What other ways can AEC leaders successfully guide their teams through innovation and digital transformation in AEC while applying tools like AI to drive sustainable change?
How can engineering and technology leaders evaluate whether emerging tools like AI are truly improving project outcomes?
What are some common pitfalls leaders should be aware of when navigating major shifts in business practices or technology adoption?
What skills will be most critical for the next generation of engineers and scientists to thrive as the industry evolves?
What are some effective ways we can attract and inspire the next generation of engineers and scientists?
What final piece of advice can you give to AEC professionals who aspire to lead meaningful digital transformation in AEC through innovation and sustainability?

Here Are Some Key Points Discussed in This Episode About Empowering Digital Transformation in AEC with Practical People Skills:


AI in the AEC industry saves time, enhances decision-making, and removes repetitive tasks, so professionals can focus on higher-value work. Tools like photogrammetry and LiDAR improve speed and safety in inspections, while engineers remain essential for training, oversight, and ensuring regulatory standards are met.
Many believe AI replaces jobs, but in reality, it supports professionals by automating low-impact tasks. When firms involve their teams, identify real challenges, and show tangible benefits, integration becomes smoother and resistance begins to fade.
Leaders see better results when they create space for everyone—not just early adopters—to contribute. By recognizing where individuals are in the adoption journey and giving them a voice, firms build long-term buy-in from the ground up.
The most effective leaders start by identifying clear business problems and setting measurable goals. They build cross-functional teams, track performance data, and ensure each tool delivers results that align with strategic priorities.
A common mistake is launching tech initiatives without clear goals or input from the wider team. To succeed, leaders must understand their workforce, communicate the purpose behind changes, and avoid forcing decisions from the top down.
Critical thinking, effective communication, and a habit of lifelong learning remain essential as technology evolves. These human skills cannot be replaced by machines and give professionals the edge in an increasingly digital environment.
Companies that promote innovation, cut unnecessary hierarchy, and offer real responsibility early in careers attract more passionate talent. When individuals are empowered to contribute and grow, they’re more likely to stay and succeed.
Professionals make the biggest impact when they lean into whom they truly are instead of conforming. By staying authentic and combining patience with bold action, they open the door to real digital transformation in AEC.

More Details in This Episode…
About Peter Nabhan, PE, PMP, LEED AP BD+C
Peter Nabhan is a Senior National Practice Leader at ECS Limited,...

In this episode, I talk with Jagannath Mallela, PhD, Senior Vice President and Managing Director at WSP in the U.S., about what makes Open BIM different, and how Open BIM is transforming collaboration, sustainability, and innovation in construction, and how AI is shaping its future through real-world infrastructure applications.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Jagannath:

What exactly is Open BIM, and how is it different from the traditional BIM methods used in the AEC industry?
How does Open BIM help different engineering teams work better together, and how does it improve data management and asset tracking over time?
Can you give a real-world example of how Open BIM is being used to support sustainable design and construction?
What are the biggest challenges AEC firms face when switching to Open BIM, and how can they make the transition smoother and more future-proof?
How do you see artificial intelligence changing the future of BIM, and what effect will it have on project workflows and efficiency?
What final piece of advice would you give AEC professionals looking to adopt Open BIM and digital innovation to achieve better project outcomes?

Here Are Some Key Points Discussed in This Episode About How To Use Open BIM for Remarkable Project Collaboration Results:


Open BIM enables collaboration and data sharing across all project phases, unlike traditional BIM methods that rely heavily on closed, proprietary systems. It creates a more seamless information flow, breaking down barriers between teams and improving overall project efficiency.
Open BIM introduces a shared digital language that helps teams coordinate more effectively from design to maintenance. By improving access to structured, consistent data, it enhances asset tracking and supports better decision-making across the asset’s full lifecycle.
Across the U.S., agencies use Open BIM to uncover and share essential information, like subsurface utilities, to reduce risk during construction. These efforts are reshaping workflows and applying standardized data exchanges to support more sustainable and collaborative design practices.
Transitioning to Open BIM requires overcoming legacy systems, cultural resistance, and the need for new tools. AEC firms can reduce risk by starting small, prioritizing training, engaging external partners early, and empowering internal leaders to guide the change.
AI enhances BIM by automating repetitive tasks, improving accuracy, and optimizing workflows in real time. With reliable BIM data, AI helps engineering teams increase productivity, reduce errors, and shift focus toward higher-value work.
Professionals benefit most by starting with small, strategic actions that create early value and build momentum. Open BIM adoption succeeds through consistent effort, patience, and a willingness to improve through experimentation over time.

More Details in This Episode…
About Jagannath Mallela, PhD
Jagannath (Jag) Mallela is a senior vice president and managing director at WSP in the U.S., where he leads digital consulting and strategic innovation initiatives. With over two decades of experience in the transportation sector, he specializes in translating emerging research and innovation into real-world solutions that enhance infrastructure planning, asset management, and digital transformation. A recognized expert in transportation policy, performance management, and climate resilience, Jag has played a pivotal role in advancing automation, data governance, and accelerated project delivery. He holds a Ph.D. in civil engineering from the University of Illinois at Urbana-Champaign and is actively involved in industry initiatives,

In this episode, I talk with Miles Kilcourse, director of robotics at Gedeon GRC Consulting, about how drones and robotics in AEC are transforming site monitoring, boosting safety, reducing costs, and driving smarter decisions through the power of automation and AI.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Miles:

How are drones and robotics in AEC changing the way we inspect, build, and maintain infrastructure, and what are some real examples of their benefits?
What are the biggest challenges AEC firms face when trying to use drones and robotics, and do you have any advice or examples to help overcome them?
How is AI making drones and robotics more capable in engineering, and what new technologies will have the biggest impact on the industry?
What important regulations and planning steps should AEC firms know about before using drones on projects?
How can firms get the most value from the data drones and robots collect, and how does automation help make that process more efficient?
What skills should engineers and AEC professionals focus on to successfully work with drones and robotics in AEC projects?
What final piece of advice would you give to professionals who want to start using drones and robotics to improve their work?

Here Are Some Key Points Discussed in This Episode About How Drones and Robotics in AEC is Revolutionizing Site Monitoring:


Drones and robotics in AEC are transforming infrastructure work by making inspections safer, quicker, and more precise. They reduce the need for risky manual access, improve data quality, and help teams cut costs and project timelines while protecting field personnel.
Many AEC firms hesitate to embrace new tools like drones and robotics because they disrupt long-established workflows. By starting with drone-based visual inspections and targeting areas that are hard to reach, teams can immediately improve safety, data accuracy, and decision-making.
AI enhances drone and robotics capabilities by enabling automation in tasks like crack detection, flight path control, and data analysis. These technologies support engineering teams by improving efficiency, reducing risks, and delivering faster insights on complex assets.
Firms must stay informed about local drone laws, secure the right permits, and coordinate with clients on safety requirements. Planning ahead and preparing for delays helps avoid setbacks and keeps operations running smoothly.
Consistent and repeatable data collection from drones and robotics allows firms to track changes over time and strengthen asset management. Working closely with robotics manufacturers and using automation ensures reliable insights and better long-term performance.
Professionals benefit from being curious and creative, always looking for new ways to solve problems. Exploring new tools like drones and robotics and asking how current processes can be improved leads to more effective and innovative project outcomes.
Waiting for the perfect plan often delays progress. Taking action with a clear focus on value—whether it’s safety, savings, or data—helps professionals move forward, gain trust, and lead change with confidence and persistence.

More Details in This Episode…
About Miles Kilcourse
Miles Kilcourse is the director of robotics at Gedeon GRC Consulting, where he leads innovative efforts to integrate robotics and automation into engineering solutions. With a background in mechatronics and robotics engineering from NYU Tandon School of Engineering, Miles has experience in UAVs, ROVs, and autonomous systems. His work focuses on leveraging cutting-edge technology to enhance safety and efficiency in engineering projects.

In this episode, I talk with Stefanie Reichman, PE, customer success manager at Bluebeam, Inc., about how engineers can successfully transition into AEC technology careers, navigate career pivots, stand out with key skills, and how companies can better support these shifts.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Stefanie:

How did your experience in BIM, VDC, and project management help you transition into your current role?
How can engineers move into technology-focused roles while still utilizing their engineering background?
What were the biggest challenges you faced when shifting into AEC tech, and how did you overcome them?
Besides soft skills, what other experiences or abilities can help engineers successfully transition into new roles?
Can you share details about your upcoming cohort program for engineers and how it helps professionals transition into tech?
What can traditional AEC firms do to better support engineers who want to move into tech roles?
What final piece of advice would you give to AEC professionals looking to future-proof their careers and navigate career changes?

Here Are Some Key Points Discussed in This Episode About How to Transition into AEC Technology Careers Successfully:


Many professionals find themselves in careers that no longer align with their goals, making change both necessary and rewarding. Recognizing transferable skills, such as expertise in BIM, VDC, and project management, allows individuals to create new opportunities that better match their aspirations.
Many engineers already have valuable skills that apply to technology-focused roles, even if they don’t initially realize it. Transitioning into AEC technology careers doesn’t mean leaving engineering behind—it means applying existing expertise in a new way, such as working with software, data analysis, or digital project management.
Career transitions often feel isolating, but seeing others successfully navigate similar changes provides confidence and reassurance. Engaging with peers, sharing experiences, and networking through platforms like LinkedIn helps professionals recognize they are not alone and gives them the support needed to move forward.
Building a strong professional network and developing job search skills before a transition makes career changes smoother. Gaining exposure to different departments, such as business development or innovation teams, and staying involved in industry discussions helps professionals expand their knowledge and explore new opportunities.
A structured cohort program provides both career guidance and a supportive community, making transitions into AEC technology careers more effective. Through coaching, networking, and skill-building exercises, participants refine their job search strategies, improve their resumes, and gain the clarity needed to take the next step in their careers.
AEC firms benefit from open communication and understanding what their employees need to grow. Providing better work-life balance, reasonable hours, and meaningful career development opportunities helps companies retain talent and create an environment where professionals can explore new career paths.
Long-term career success requires continuous learning, networking, and adaptability to industry changes. Professionals who embrace new opportunities, expand their skills, and build strong connections position themselves for growth and stability in an evolving industry.

More Details in This Episode…
About Stefanie Reichman, PE
Stefanie Reichman, PE is a dynamic leader in the AEC industry, dedicated to empowering civil engineers to navigate career transitions and embrace technology.

In this episode, I talk with Randy Deutsch, FAIA, LEED AP, Clinical Associate Professor at the University of Illinois at Urbana-Champaign, about how AI is transforming design, construction, and creativity, reshaping the AEC industry with automation, data, and innovation. This includes the growing impact of artificial intelligence in AEC, where AI-driven tools enhance workflows, optimize efficiency, and create new opportunities for industry professionals.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Randy:

How can AI enhance human expertise and creativity, and what new opportunities does it create for professionals in the AEC industry?
How is AI transforming education and training in the AEC industry, and what key skills should students and professionals develop to stay competitive?
What AI tools are currently making the biggest impact in AEC, and how can firms structure their data to maximize their value?
What ethical responsibilities do design professionals have when using AI, and how should they navigate these challenges?
What are the biggest challenges to AI adoption in AEC, and how can firms balance early adoption with long-term benefits?
What final piece of advice can you give to AEC professionals on developing the right mindset and practical steps to stay ahead of AI's impact on our industry?

Here Are Some Key Points Discussed in This Episode About How Artificial Intelligence in AEC is Transforming Expertise, Ethics, and Innovation:


AI enhances human expertise by optimizing workflows, improving efficiency, and enabling professionals to focus on complex challenges. It does not replace jobs but creates opportunities for architects and engineers to advance innovation, improve work-life balance, and tackle industry-specific problems more effectively. Artificial intelligence in AEC plays a crucial role in these advancements by bridging the gap between automation and decision-making in building projects.
AI shifts from providing instant responses to generating more thoughtful and precise answers, encouraging professionals to refine their questions for better outcomes. To stay competitive, students and industry professionals must strengthen problem-solving abilities, critical thinking, and adaptability to leverage AI effectively.
AI tools bridge the gap between architects and engineers, improving collaboration by understanding both perspectives simultaneously. To maximize AI’s value, firms must maintain structured and accurate data, remain actively involved in decision-making, and ensure that AI-generated outputs align with ethical and professional standards.
Design professionals hold the responsibility of verifying AI-generated information instead of relying on it without scrutiny. While AI provides valuable insights, professionals must critically assess its outputs, confirm accuracy, and apply ethical judgment before integrating AI-driven solutions into their work.
AI is not just another tool but a major shift in how technology integrates into daily workflows, requiring a new approach to adoption. Artificial intelligence in AEC is leading this shift by improving project efficiency, enhancing safety, and enabling predictive analysis for better decision-making. Firms can balance early adoption with long-term benefits by incorporating AI gradually while maintaining a focus on creativity, ethical decision-making, and human oversight.
To stay ahead, AEC professionals must develop uniquely human skills such as creativity, critical thinking, and problem-solving. Rather than viewing AI as competition, they should embrace it as a tool that enhances expertise, improves efficiency, and drives meaningful innovation in the industry.

In this episode, I talk with Chad Smeltzer, President and CEO of Bidcurement, about how AI in construction and infrastructure is revolutionizing project procurement, reshaping infrastructure through data centers, and optimizing water and electricity use, while tackling the challenges of AI adoption in the AEC industry.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Chad:

How does the civil infrastructure world differ from the technology sector in terms of project timelines?
What are the major challenges in adopting AI in construction and Infrastructure projects, and how can firms address these challenges along with common misconceptions?
How is AI transforming the procurement and bidding processes in the AEC industry, and what benefits does it offer to enhance firm competitiveness and efficiency?
Can you explain how AI-powered procurement can halve project delivery times, and what impacts this has on cost and efficiency?
Given the significant energy requirements of data centers, how is their proliferation affecting the AEC industry, and what should professionals consider when designing and building them?
What final piece of advice would you give to AEC professionals to stay competitive in an industry that is gradually adopting AI technologies?

Here Are Some Key Points Discussed in This Episode About How AI Is Transforming Project Procurement in AEC and Construction:


The civil infrastructure world markedly differs from the technology sector due to substantial trust barriers and lengthy sales cycles. Strong relationships and thorough validation are essential before new solutions are accepted.
The main challenges in integrating AI in construction and Infrastructure projects are skepticism towards new technologies and difficulties with system integration. Firms can enhance process efficiency, conduct extensive pilot testing, and educate stakeholders to dispel misconceptions and facilitate AI adoption.
AI is revolutionizing the procurement and bidding processes by streamlining project management, minimizing miscommunication, and enhancing bid accuracy. These improvements lead to lower costs, faster project completion, and increased overall efficiency, thereby enhancing competitiveness in the industry.
AI-powered procurement is improving project delivery by developing accurate digital twins that enable precise management and quick referencing. This reduces errors and delays, potentially cutting delivery times in half and significantly boosting cost efficiency and project reliability.
The increasing need for data centers, driven by significant energy demands, is influencing the AEC industry to design facilities that can support high power and cooling requirements. Professionals are encouraged to implement innovative energy management and sustainable practices to adapt to rapid technological and demand changes.
AEC professionals must adopt a continuous learning and adaptable approach to remain competitive as the industry gradually incorporates AI in construction and infrastructure. Exploring emerging technologies like robotics for data collection and participating in hybrid trade shows are recommended to keep abreast of industry advancements and networking opportunities.

More Details in This Episode…
About Chad Smeltzer
Chad Smeltzer is a leader in civil infrastructure innovation, dedicated to bridging the $3 trillion infrastructure gap in America by leveraging AI-powered solutions to streamline project delivery. As the president and CEO of Bidcurement, he has pioneered the first AI-driven, video-based procurement platform that reduces project delivery times by 50%. He is also the founder of The Infrastructure Network,

In this episode, I talk with Pete Majewski, business strategy manager at Autodesk, about the crucial role of software integration in the AEC industry, how engineering software solutions are revolutionizing workflows, and the latest innovations in construction technology poised to reshape the industry in the coming decade.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Pete:

What were the main challenges you encountered when transitioning from the industry side to engineering software roles?
How has your direct experience in the industry shaped your approach to construction technology solutions?
What key digital transformation innovations are merging construction, manufacturing, and engineering, and what impact will they have on the industry over the next decade?
Why is engineering technology so crucial in managing the fine details and processes within mission-critical projects?
How is software integration in the AEC industry enhancing collaboration across engineering, construction, and manufacturing, and can you provide any real-world examples of this convergence?
What are the major challenges AEC firms encounter when integrating construction management software into their workflows, and how can they overcome these obstacles?
As engineering software and automation continue to transform workflows, how can AEC professionals best prepare for these changes?
What final piece of advice do you have for AEC professionals aiming to stay ahead in an increasingly tech-driven industry?

Here Are Some Key Points Discussed in This Episode About the Best Breakthroughs in Software Integration in the AEC Industry:



The main challenges when transitioning from traditional AEC roles to software positions include adapting to new terminologies and understanding diverse roles within software companies. Leveraging industry experience plays a crucial role in bridging communication gaps and enhancing AEC software solutions tailored to industry needs.
Direct industry experience is vital in shaping approaches to software integration in the AEC industry, enabling professionals to comprehend the specific motivations and expertise of each stakeholder, bridging gaps between traditional practices and construction technology.
Key digital transformation trends that merge construction, manufacturing, and engineering involve the use of integrated software systems that enhance collaboration and transparency. These innovations lead to more efficient project delivery and greater stakeholder coordination.
Engineering technology is essential in mission-critical projects as it ensures high reliability and includes redundant systems to prevent downtime, maintaining essential services such as data centers where continuous service is mandatory.
Construction software boosts collaboration across engineering, construction, and manufacturing by facilitating direct interactions between owners and specialty contractors, moving away from traditional contractor relationships. This shift improves workflow efficiency and project transparency.
Major challenges include managing software adoption in isolation and communication breakdowns within teams. Overcoming these challenges involves ensuring that technology adoption is deeply integrated into operations with comprehensive training and digital transformation strategies to align all team members.
AEC professionals best prepare for construction software integration by embracing continuous learning and integrating cloud-based engineering solutions that bridge the gap between traditional fieldwork and modern virtual project platforms, ensuring all team members are fully conversant with the advancements.

In this episode, I talk with Francesco Iorio, PhD, co-founder & CEO of Augmenta, about the biggest challenges in artificial intelligence in construction and how AI-driven solutions are transforming the AEC industry by accelerating processes, enhancing intelligence, and boosting efficiency.

***The video version of this episode can be viewed here.***
Engineering Quotes:



Here Are Some of the Questions I Asked Francesco:

What is Augmenta's vision for the future of artificial intelligence in construction, and how does it address challenges like waste reduction and sustainability?
How does the Augmenta platform work, and what are its core features in the design and engineering process?
What role does generative AI play in Augmenta’s approach, and how is it transforming engineering workflows?
How does artificial intelligence in construction improve project timelines, cost management, and efficiency?
What are the societal and environmental impacts of AI-driven construction technology?
How can different trade disciplines benefit from using AI-powered tools, and can you share examples?
What advice do you have for AEC professionals integrating AI into their workflows?

Here Are Some Key Points Discussed in This Episode About how Artificial Intelligence in Construction is the Sure Fire Way to Improve Projects:


By leveraging artificial intelligence in construction to enhance sustainability, efficiency, and waste reduction, Augmenta aims to revolutionize the AEC industry. Francesco Iorio's extensive background in R&D outside of AEC informs this approach, integrating innovative technologies that address significant construction challenges.
Utilizing artificial intelligence in construction, the Augmenta platform transforms the creation of construction documents, ensuring they are actionable and precise. This innovation streamlines the design process, enhancing project feasibility and efficiency from start to finish.
Acting like a virtual assistant for engineers, artificial intelligence in construction within Augmenta's platform enables real-time design adjustments without the need for traditional drawing. This technology automates the generation of detailed, compliant, and optimized construction plans, transforming engineering work.
Significant enhancements in project timelines, cost management, and overall efficiency are achieved through artificial intelligence in construction solutions. These allow professionals to manage more projects or improve existing ones with the same resources, effectively doubling productivity and cutting design time by about 50%.
The use of AI-driven design tools in artificial intelligence in construction helps reduce the environmental impact of construction projects by minimizing waste and optimizing resource use. This technology is pivotal in constructing more sustainable structures and reducing the industry's carbon footprint.
Providing tools that enhance coordination and efficiency, artificial intelligence in construction offers significant benefits across various trades. Electrical contractors, for example, have seen reductions in design time and improvements in the accuracy of installations, indicating potential advantages for mechanical and plumbing trades through similar technology integrations.
Embracing artificial intelligence in construction as a tool that enhances capabilities rather than replacing them is strongly advised for AEC professionals. Integrating AI into design workflows not only boosts efficiency but also helps attract new talent, ensuring that AEC firms remain at the forefront of industry innovations, especially in specialized areas like restoration where traditional design is not the primary focus.

More Details in This Episode…
About Francesco Iorio,

In this episode, I talk with Joseph Viscuso, PE, PLS, ENV SP, Senior Vice President and Director of Strategic Growth at Pennoni, and Markus Weidner, MS, Chief Innovation Officer at Pennoni, about how tech adoption in AEC projects is revolutionizing the industry. We explore the rapid integration of emerging technologies, the challenges of tech adoption, and the future of project delivery in an increasingly digital world.

***The video version of this episode can be viewed here.***
Engineering Quotes:





Here Are Some of the Questions I Asked Joseph and Markus:

How is tech adoption in AEC projects transforming project delivery methods, and what future advancements do you foresee?
Can you discuss Pennoni's use of AI in project delivery and how tech adoption has benefited these initiatives?
What significant challenges arise when adopting new technology, and how can firms successfully navigate them?
How can automation and AI enhance product accuracy, efficiency, and project timelines?
What strategies help firms balance technological innovation with client expectations and budget constraints?
What role does leadership play in promoting a culture of tech adoption within AEC firms?
How can AEC professionals stay ahead in a rapidly evolving digital landscape?
How do you ensure seamless collaboration between technical teams and technology experts to enhance tech adoption in workflows?
What final piece of advice would you give to AEC professionals looking to embrace tech adoption for career growth?

Here Are Some Key Points Discussed in This Episode About Exploring the New Era of Tech Adoption and Innovation in AEC:


The AEC industry is undergoing a transformation with intelligent object-based modeling and seamless tech adoption, leading to enhanced collaboration and reduced errors.
Pennoni is at the forefront of tech adoption, leveraging AI-driven solutions for civil engineering tasks like pavement analysis and water leak detection, making assessments more objective and efficient.
Skepticism about new technologies in engineering remains high due to the critical nature of infrastructure projects, but increasing client receptiveness is driving more effective tech adoption.
AI advancements are enabling proactive infrastructure maintenance, optimizing resource allocation for long-term sustainability.
A strategic, staged approach to tech adoption helps align new innovations with project goals while managing risks effectively.
Leadership plays a pivotal role in tech adoption, ensuring teams stay updated with emerging trends through continuous education and engagement.
AEC professionals must embrace tech adoption to enhance project visualization and client interactions, leading to more dynamic and impactful engagements.
Effective collaboration between engineers and technology experts is critical for refining and implementing new technologies in real-world applications.
Thriving in an era of rapid tech adoption requires professionals to anticipate future trends and adapt to the evolving AEC landscape.

More Details in This Episode…
About Joseph Viscuso, PE, PLS, ENV SP
Mr. Viscuso is the senior vice president and director of strategic growth, which includes involvement in all new initiatives and technologies. Joe is responsible for overseeing the top-line growth of Pennoni and manages both the business development and corporate communications teams. Joe co-manages Pennoni’s digital lab’s team to assist in the use and vetting of newly developed technologies. He has also spoken at many conferences on the use of technology for project delivery by consulting engineering firms.

He also assists with the firm's mergers and acquisition activities.