Is your leadership team unknowingly caught in an "expensive hobby" – drowning in $10-an-hour tasks while million-dollar strategies wait? Aarti Anand, an entrepreneur who champions escaping the daily grind, joins Innovation Tales to share how to reclaim this critical time. Discover a powerful framework to strategically automate internal operations and ensure every leader focuses only on work that either "lights them up" or "prints money" for the business. Key Takeaways Systems First, AI Second: Establish clear, repeatable systems before introducing AI. Automation scales effective processes but only amplifies chaos if your foundation is weak. Automate Internal Operations: Prioritize automating routine internal tasks to free leaders from low-leverage work, allowing them to focus on high-impact, strategic initiatives. Use the "Drip Matrix": Identify which tasks energize you or enrich the business. Keep those, and strategically delegate or find an automation solution for everything else.

What if you could free your team from those repetitive, soul-crushing tasks they've endured for years, not through complex coding, but through AI that learns by observing? This episode features Tuhin Chakraborty, CEO of Mimica AI, discussing the power of task mining to identify exactly where automation can make the biggest human impact. Key Takeaways Task mining offers objective process understanding: Unlike traditional manual methods that rely on subjective viewpoints, task mining provides an objective, data-backed view of processes, leading to clearer insights and easier consensus. Task mining is foundational to agentic automation: Understanding current tasks through mining is the first step towards building agentic AI that can learn by observation and reproduce tasks without explicit programming. The future of work involves a hybrid human-AI workforce: The immediate future will see humans and AI agents working together, with humans handling complex, intelligent tasks and agents performing routine, mundane activities.

The tech world loves the mantra “move fast and break things,” but in healthcare, the thing you break could be a person. So, how do you drive innovation when the stakes are life and death? This episode features RJ Kedziora, co-founder of Estenda, who shares invaluable lessons from the front lines of digital health. Key Takeaways AI-powered tools like ambient listening scribes are revolutionizing clinical workflows by significantly reducing "pajama time"—the after-hours administrative burden—freeing up clinicians to dedicate more valuable minutes to direct patient interaction and care. Ethically harnessing AI means focusing on augmenting human capabilities and expanding access to care, while proactively managing risks such as inherent bias and ensuring that technology complements, rather than replaces, vital human connection and trust. Shifting focus from traditional time management to actively managing personal energy—as outlined in concepts like "Productive Harmony"—can unlock higher productivity and help leadership and their teams sidestep burnout, fostering a more sustainable approach to achieving strategic goals in Digital Transformation.

What if you could automate 80% of your team's most tedious work without an army of developers? That’s not a hypothetical from a tech brochure; it's the real story of Dr. Don Ray Simmonds, a trademark attorney who was drowning in paperwork and losing precious family time. In this episode, we unpack the low-code blueprint he used to build an AI assistant that reduced a full day's work into just two hours, creating a new revenue-generating business in the process. Key Takeaways Leverage low-code platforms to build powerful, revenue-generating AI solutions without needing extensive technical expertise, focusing instead on solving a specific, high-value business problem. Implement practical guardrails, like rigorous real-world testing and human review, to prevent AI hallucinations and ensure the accuracy and reliability of automated, client-facing documents. Protect your intellectual property in the AI era by meticulously documenting your prompts and creative inputs, creating a body of evidence to establish your significant contribution to the final work.

Beyond the dazzling headlines of Generative AI, a familiar hurdle from past tech rollouts like CRM remains: genuine user adoption. If your organization sees GenAI primarily as a technology challenge, you might be missing the crucial human equation. Join us on Innovation Tales as host Alexandre Nevski and guest Ryan Pollyniak, a seasoned sales professional, share frontline stories and hard-won lessons on navigating the people-side of digital transformation, ensuring your initiatives inspire action, not resistance. Key Takeaways Prioritize People in Every Tech Initiative: Successful Digital Transformation, whether with CRM or AI, depends more on genuine user adoption and addressing the human impact than on the technology itself; understanding personal motivations and ensuring a clear "What's In It For Me?" (WIIFM) for employees is paramount. Executive Sponsorship and True Partnership are Non-Negotiable: Visible Leadership, unwavering executive buy-in, and a collaborative approach with implementation partners are essential to overcome resistance, manage change effectively, and prevent costly deviations from strategic goals. Approach AI Strategically, Starting with Data Readiness: While AI and Machine Learning offer transformative potential, organizations must first ensure their data is clean and aggregated, then strategically integrate AI to solve specific business problems rather than adopting technology for its own sake, focusing on both tactical efficiencies and long-term strategic insights.

Traditional learning methods often struggle to keep learners engaged—rigid formats, passive content, and a lack of personalization. But could AI offer a better way? In this episode of Innovation Tales, we sit down with Juliette Denny, a trailblazer in learning technology, to explore how AI is revolutionizing education and corporate training. From gamification to personalized learning at scale, Juliette shares how her latest venture, Zavmo.ai, is rethinking engagement and unlocking human potential. Key Takeaways Personalization Unlocks Engagement and Retention By tailoring learning to each individual’s interests, job roles, and goals—rather than delivering generic content—organizations can capture learners’ attention more effectively. This personalized, context-rich approach helps sustain focus and ensures new knowledge is internalized. AI Must Pair With Sound Pedagogy While large language models enable automation at scale, true impact comes from combining them with proven instructional frameworks (like Bloom’s taxonomy). Relying on AI alone risks inaccuracies or shallow learning; curating high-quality content and applying neuroscience-backed design ensures outcomes remain rigorous and meaningful. Educators Remain Central—Technology Amplifies Their Role AI-driven tools don’t replace teachers or trainers; instead, they free them up to focus on deeper mentorship and creativity. By automating repetitive tasks and personalizing content, AI allows educators to guide learners more effectively while honoring the timeless basics of how the human brain learns and retains knowledge. 

AI is revolutionizing marketing—but not the way you think. Forget flashy automation and mass content production. In this episode, Alexandre Nevski and Zeke Camusio, founder of Data Speaks, explore how AI is transforming marketing by improving accuracy and access to real insights. Learn why traditional attribution models fall short, how AI-driven experimentation uncovers what truly drives revenue, and why better data—not bigger budgets—is the key to smarter marketing decisions. Whether you're in marketing or just fascinated by real-world AI applications, this episode will change the way you think about data and decision-making. Key Takeaways Data Accuracy Over Volume: Rather than simply pushing out more ads or content, the real power of AI in marketing comes from precise measurement. By focusing on reliable, experiment-based attribution (instead of blanket tracking), companies gain clear insights into which channels actually drive revenue. Experimentation Trumps Guesswork: The podcast highlights the importance of testing changes in spend (what they call “designed” or “natural” experiments) to see the true impact on sales. It’s not about tracking individual users, but about measuring how each channel responds when budgets shift. AI + Human Insight: While AI handles massive data sets and delivers real-time insights, human judgment remains vital. AI surfaces patterns and opportunities, but people bring strategic context and relationship-building—essential for turning raw analytics into business growth.

Ignoring generative AI isn’t an option—but in high-risk environments, a simple ChatGPT subscription won’t cut it. True enterprise adoption demands security, governance, and a platform built for compliance. In this episode of Innovation Tales, we welcome back Alec Crawford, founder of Artificial Intelligence Risk, Inc., for part two of our conversation on AI security. This time, we dive deeper into how businesses can deploy AI safely, from on-premise security to multi-tiered authorization and real-time compliance monitoring. Key Takeaways AI Security and Governance Are Non-Negotiable – Enterprises handling high-risk AI applications (such as in healthcare and finance) must implement on-premise or private cloud solutions, enforce role-based access, and utilize encryption and activity logging to ensure compliance with strict regulatory requirements. AI Regulations Are Complex and Evolving – From HIPAA in healthcare to state-specific AI laws like Colorado’s AI Act, businesses must navigate a patchwork of AI regulations. The NIST AI Risk Management Framework is emerging as a widely accepted compliance standard that simplifies regulatory alignment. AI’s Ethical and Global Impact Matters – Beyond compliance, organizations must address AI’s broader societal implications, including job displacement and economic divides between wealthy and developing nations. The Global AI Ethics Institute plays a key role in shaping discussions around ethical AI governance and responsible innovation.

When did you first realize AI was going to change the way we work? Long before ChatGPT and today’s AI boom, Alec Crawford was already deep in the field—surviving the second AI winter and pioneering predictive analytics. Now, he helps businesses navigate the hidden dangers of AI adoption. From building neural networks at Harvard to founding AI Risk, Inc., his journey is packed with insights for business leaders looking to embrace AI without falling into costly pitfalls. Key Takeaways AI adoption comes with significant security, compliance, and governance challenges that organizations must proactively address. Not every AI use case is worth pursuing—businesses should evaluate whether traditional models or non-AI solutions are more effective. Strong AI governance, risk management, and cyber-security strategies can prevent costly mistakes and protect sensitive corporate data.

Most companies say they’re adopting AI, but let’s be honest—are they truly transforming, or just collecting expensive tech demos? So how do leaders turn AI into a real competitive advantage instead of another experiment that never scales? In this episode of Innovation Tales, Alexandre Nevski talks with AI strategist Fahed Bizzari, who helps companies move beyond AI hype into real, measurable impact. Key Takeaways AI is not just a tool—it’s an evolving intelligence that requires strategic integration, not just technical adoption. Successful AI implementation depends on executive buy-in, identifying high-impact use cases, and ensuring AI enhances human roles rather than replacing them. Adaptability and AI literacy are critical for businesses to stay competitive in an environment where change is accelerating.

Everyone’s talking about AI agents—few have actually built them. Even fewer have made them work. So, what does it really take to move from hype to execution? In this episode of Innovation Tales, Alexandre Nevski sits down with Konrad Jeleń—Executive CTO at PMR, VP of Data Science & AI at Kolomolo, and Director for Technical Solutions at AI4Process. With 20+ years of experience in AI and enterprise transformation, he’s seen what works, what fails, and what businesses need to get right. Key Takeaways AI agents are evolving: Businesses are shifting from AI as an assistant to AI as a process participant, capable of automating workflows and making decisions. Specialization improves AI performance: Dividing AI into specialized agents, each with a specific role, enhances efficiency and accuracy in business operations. Governance is essential: Without proper oversight, AI agents can introduce risks; balancing automation with human control is key to success. Register for the upcoming live webinar on AI Agents for Business: https://innovation-tales.com/event/ai-agents-for-business/

Why does AI make digital transformation both easier—and infinitely harder? New technology promises efficiency, automation, and smarter decision-making, but the real challenge isn’t the tools—it’s getting people to embrace them. In this episode of Innovation Tales, transformation expert Nicole Hilgenkamp unpacks why adoption often stalls, how leaders can break through resistance, and what it really takes to make innovation stick. If you’re navigating change in your organization, this conversation is a must-listen. Key Takeaways AI adoption is a people-first challenge: Success in digital transformation depends on employees’ willingness to adapt, not just the technology itself. Leadership must drive AI literacy: Business leaders play a critical role in educating teams, providing structured training, and fostering a culture of exploration. Data and process readiness are essential: AI can only deliver value when organizations have clean, well-structured data and standardized workflows in place.

AI news moves faster than you can keep up—so why even try? If you've ever felt overwhelmed by the nonstop flood of AI breakthroughs, you're not alone. In this episode of Innovation Tales, Alexandre Nevski chats with Justin Simpson, co-founder of Here.Now.AI, about the growing AI divide—why some are thriving while others feel left behind. Justin breaks down practical, no-nonsense ways to cut through the noise, experiment with AI, and start using it to work smarter, not harder. No hype, no jargon—just real-world strategies to help you and your team stay ahead. Key Takeaways The AI divide is real: Some professionals are thriving with AI, while others struggle to keep up. Understanding and leveraging AI is crucial to staying competitive. Hands-on experimentation is key: Waiting for AI to become simpler isn’t an option. Engaging with AI tools now will help individuals and businesses adapt more effectively. AI is not just for tech experts: From small businesses to corporate teams, anyone can use AI to boost productivity, automate tasks, and unlock new opportunities.

Is AI making us more connected—or just more lonely? As smart devices anticipate our every move and hyper-personalization reshapes business, we’re becoming more isolated than ever. In this episode of Innovation Tales, Alexandre Nevski and AI expert Shahar Boyayan dive into the paradox of AI-driven convenience: How do businesses use automation without losing the human touch? Where’s the line between personalization and privacy invasion? And what happens when consumers expect brands to really see them? Tune in for a thought-provoking look at the future of AI, authenticity, and consumer trust. Key Takeaways Automate with purpose: Use AI to handle repetitive tasks but ensure critical touchpoints remain human-led. Prioritize transparency: Clearly communicate how AI-driven personalization works and allow customers to control their data. Emphasize authenticity: Consumers engage more with brands that feel real. Show behind-the-scenes content, admit imperfections, and foster genuine interactions. Stay adaptable: AI technology evolves rapidly. Businesses that remain flexible and open to change will be best positioned for success.

An Emmy-winning filmmaker just hacked his creative process with AI—could the same tools transform your business? 🚀 In this episode of Innovation Tales, Erich Archer shares his journey from traditional video production to pioneering AI-powered storytelling. From crafting his first AI-generated short film to building custom GPTs that streamline creative workflows, Erich reveals how tools like ChatGPT, MidJourney, and Runway are reshaping media—and what that means for industries far beyond film. 🎯Key Takeaways AI Enhances, Not Replaces Creativity – AI tools like ChatGPT, MidJourney, and Runway can streamline workflows, but human expertise remains essential for storytelling and strategy. Custom GPTs Can Supercharge Business Processes – By creating specialized AI assistants for tasks like content ideation, document processing, and brand compliance, businesses can save time and boost efficiency. Experimentation is Key to Unlocking AI’s Potential – The best way to leverage AI is through hands-on testing and iteration. Start small, refine your approach, and discover how AI can amplify your unique expertise.

🚀 Can generative AI be trusted in fields where precision is non-negotiable? From law to finance to healthcare, the difference between 95 percent accuracy and 100 can make or break careers. In this episode of Innovation Tales, host Alexandre Nevski sits down with digital expert Sam Gobrail to explore the real-world challenges of deploying AI in risk-averse environments. 💡 Key Takeaways AI works best for repeatable, structured tasks, not complex decision-making. Adoption must be gradual, strategic, and human-centered. Leaders need to invest in AI education and oversight—not just tools.

Could AI agents become your next star employees? In the latest episode of Innovation Tales, Microsoft AI Architect Naveen Krishnan explores the transformative potential of agentic AI—autonomous systems that don’t just answer questions but take decisive action. These cutting-edge AI agents are more than chatbots—they can streamline operations, collaborate on complex tasks, and even revolutionize roles in coding and project management.

"I need someone like Bob"—sound familiar? HR teams and managers often struggle with vague job designs, but today’s guest on Innovation Tales has a game-changing solution. Scott Morris, CEO of Propulsion AI, shares how artificial intelligence is transforming HR from an administrative function into a strategic powerhouse. Drawing from 25 years of HR expertise, Scott offers practical steps to elevate your talent strategy and improve employee engagement. Key Takeaways Clarity in job design is critical for both employee engagement and organizational success. AI tools like Propulsion AI streamline administrative tasks, empowering HR to focus on strategic priorities. Transformation is about rethinking value delivery, not just adopting new tools.

Are your project contracts setting you up for success—or holding you back? In this episode of Innovation Tales, we dive into how the fine print can make or break a digital transformation. You’ll hear two contrasting stories: one where rigid agreements lead to setbacks and frustrations, and another where agile contracts open the door to faster, smarter decisions. We’ll look beyond the usual agile vs. waterfall debate and explore how the structure of a contract shapes the dynamics between teams and suppliers. Discover the power of collaboration and how an agile approach to procurement can turn uncertainty into opportunity, setting your project on the path to success. The episode offers practical advice on structuring contracts that don’t just manage risk but actively build trust between all parties, fostering a collaborative environment where challenges are met head-on. Whether you’re a leader, project manager, or just curious about what makes some projects thrive while others flounder, this episode offers insights you won’t want to miss. SAFe® and Scaled Agile Framework® are registered trademarks of Scaled Agile, Inc. Please visit https://scaledagileframework.com to learn more. Pega® is a trademark of Pegasystems Inc. Please visit https://www.pega.com to learn more.

For most people, making a customer call is an extremely frustrating experience. It is often plagued with disconnected transfers, loss of context, or poor agent response. Why do these things keep on happening? Alexandre Nevski offers the truth about these customer calls by offering a glimpse of what is really happening behind the scenes of contact centers. He explains how these calls are not just about customer satisfaction and conversion rates, but also crafting better teamwork and developing smoother business operations. Alexandre explains how to use artificial intelligence in automating processes and the importance of having a reliable CRM program to deeply improve how customer calls are executed. Pega® is a trademark of Pegasystems Inc. Please visit https://www.pega.com to learn more.