Summary
This conversation explores the evolving role of AI in business, focusing on compliance, data management, and the automation of traditional roles. Philippe Trounev discusses the implications of AI technologies, including data poisoning, the replacement of product managers, and the ethical concerns surrounding AI agents in negotiations and monitoring. The discussion highlights both the potential benefits and risks associated with the increasing reliance on AI in corporate environments.
Keywords
AI, compliance, data poisoning, product management, negotiation, automation, corporate safeguards, ethical concerns, technology, future of work
Takeaways
AI is increasingly being used to enforce compliance in businesses.
Data poisoning can be used strategically to influence AI recommendations.
The role of product managers is being automated by AI technologies.
AI agents are negotiating deals, potentially removing humans from the process.
There are ethical concerns regarding AI's decision-making without human oversight.
Companies are implementing safeguards against unauthorized AI usage.
AI can be weaponized in competitive business environments.
The future may see a separation between the internet for agents and humans.
AI's ability to monitor and report can lead to unintended consequences.
The landscape of business roles is rapidly changing due to AI advancements.
Titles
AI's Impact on Business: Compliance and Automation
Navigating Data Poisoning in the Age of AI
Sound bites
"AI supposed to make our lives easier."
"AI spotting kids over Doritos."
"An agent has a conversation with a supplier."
Chapters
00:00 The Rise of AI Agents and Their Impact
05:41 The Future of Product Management and Automation
Keywords
AI projects, hype vs reality, return on investment, success metrics, narrow use cases
Summary
In this conversation, Ammar Bhaisaheb discusses the critical aspects of initiating AI projects, emphasizing the importance of distinguishing between hype and reality. He advocates for a focused approach, where projects are defined by narrow use cases and measurable goals. The conversation highlights the necessity of modeling return on investment before embarking on any AI initiative, ensuring that projects are viable and worth the investment of time and resources.
Takeaways
The very first chat with clients is to separate hype versus reality.
AI projects should be approached with a scalpel, not a will.
Success in AI requires a narrow, super use case.
Clear goals must be measurable for AI projects.
Modeling return on investment is crucial before coding.
Projects should aim for a three to five X return on investment.
If a project can't deliver ROI, it's not worth pursuing.
Focus on measurable outcomes to ensure project success.
Narrow use cases lead to better-defined AI projects.
Invest time only in projects that meet ROI criteria.
Titles
Navigating the AI Hype: A Practical Approach
The Scalpel Method: Precision in AI Projects
Sound bites
"Separate the hype versus reality in AI."
"Pick a narrow, super use case."
"Clear goal that you can actually measure."
Chapters
00:00 Introduction to AI Agents and Their Impact
00:07 Choosing the Right Use Cases for AI Agents
00:43 Data: The Foundation of AI Success
John Brazier spent 25 years leading Oracle's technical documentation team, managing 394 books translated into 10+ languages. Today we discuss why AI-generated documentation fails at enterprise scale, the $12M translation problem, and why technical writers are evolving into "Knowledge Orchestrators."🔑 Key Topics:- Why enterprise documentation requires human wisdom, not just AI knowledge- The $500K cost of translating a single 500,000-word manual- How one comma can trigger a $40,000 retranslation- Revenue recognition regulations that make AI documentation illegal- The future role: Knowledge Orchestrator vs Technical Writer📊 Quick Stats:- 394 books in Oracle's documentation library- $12M initial translation cost for 6-product logistics suite- 500,000 translatable words per book- Translation costs: $0.06-$0.30 per word⏱️ Timestamps:00:00 Introduction02:28 The Scale of Documentation at Oracle04:41 Translation Challenges ($12M Problem)09:29 Knowledge vs Wisdom in Technical Writing16:36 The Future of Technical Writers31:39 Why Human Oversight Is Non-Negotiable#TechnicalWriting #AI #Documentation #EnterpriseAI #FutureOfWork
Keywords
AI, government contracts, agentic AI, compliance, certifications, small business, technology, security, federal government, entrepreneurship
Summary
In this conversation, Philippe Trounev and Cordell Robinson discuss the burgeoning field of agentic AI and the significant investment the US government is making in this area. They explore the steps entrepreneurs need to take to sell AI agents to the government, including navigating the registration process, understanding compliance and certification requirements, and the lifecycle of government contracts. Cordell shares insights on the types of AI solutions in demand, the importance of security, and the advantages of partnering with established firms to access government contracts. The discussion emphasizes the potential for small businesses to thrive in this niche market as the government increasingly seeks innovative AI solutions.
Takeaways
The US government is heavily investing in agentic AI.
Entrepreneurs must register their businesses on sam.gov to sell to the government.
Compliance with NIST 800-171 is crucial for DoD contracts.
The certification process can take several months, so start early.
Government contracts often require a competitive bidding process.
Selling existing products may involve customization for government needs.
Security audits are essential for government contracts.
Partnerships can enhance credibility and access to government opportunities.
There is a growing demand for AI solutions in government, especially in security.
Small businesses have a unique opportunity to enter the government contracting space.
Titles
Unlocking Government Contracts for AI Solutions
Navigating the Complex World of Government Contracting
Sound bites
"You have to register your business on sam.gov."
"You can bid on contracts for the government."
"NIST 800171 is your in-house security audit."
Chapters
00:00 The Rise of Agentic AI in Government
02:56 Navigating Government Contracts: The Basics
05:17 Compliance and Certifications for Small Businesses
08:17 Bidding on Government Contracts: The Process
11:00 Partnerships and Accelerating Government Sales
13:43 Financial Aspects of Government Contracts
16:43 Security Requirements for Government Products
19:29 The Advantages of Selling to the Government
22:02 Identifying High-Demand Use Cases
24:50 Cost and Competition in the Government Contract Space
Keywords
AI, video analytics, security, Vault AI, incident detection, privacy, technology, company culture, future of AI, Igor Olteanu
Summary
In this episode, Igor Olteanu, co-founder of Vault AI, discusses the transformative impact of AI-powered video analytics on physical security. He shares his journey from military service to tech innovation, the technology behind Vault AI's solutions, and the importance of real-time incident detection. Igor addresses privacy concerns, highlights the effectiveness of their technology, and shares notable success stories. He also reflects on the cultural insights gained from his time at Google and how they influence the company culture at Vault AI. Finally, Igor offers his thoughts on the future of AI in security and encourages listeners to embrace innovation.
Takeaways
Igor transitioned from military to tech due to a passion for innovation.
Vault AI focuses on real-time incident detection in educational spaces.
The technology uses geolocation and 3D mapping for accuracy.
AI validation is complemented by human oversight to reduce false positives.
Privacy concerns are addressed by clarifying existing camera usage.
The effectiveness of AI allows for 100% camera monitoring.
Notable incidents include detecting medical emergencies and bullying.
Company culture emphasizes direct communication and innovation.
Igor's military background aids in understanding security needs.
The future of AI in security will see increased adoption and trust.
Titles
Transforming Security with AI: Igor Olteanu's Journey
Real-Time Threat Detection: The Future of Safety
Chapters
00:00 Introduction to Vault AI and Igor's Journey
02:49 The Technology Behind Vault AI's Video Analytics
05:12 Real-Time Incident Detection and Response
08:02 Privacy Concerns and Customer Objections
10:50 Effectiveness of AI in Security
13:41 Notable Incidents and Success Stories
16:47 Cultural Insights from Google to Vault AI
19:24 Building a Strong Company Culture
22:00 The Future of AI in Security
24:47 Final Thoughts and Encouragement
Keywords
AI agents, agentic society, culture, ethics, workforce, education, technology, future generations, automation, human-AI interaction
Summary
In this conversation, Philippe Trounev and Duri Chitayat explore the transformative impact of AI agents on society, culture, and the workforce. Duri shares his insights on how AI can be integrated into company culture, the challenges of teaching AI about human culture, and the implications for future generations growing up in an AI-driven world. They discuss the ethical responsibilities of AI developers and the need for a robust educational framework to prepare for a future where AI plays a central role in our lives. The conversation emphasizes the importance of trust, ethics, and adaptability in navigating the evolving landscape of technology and society.
Takeaways
Duri Chitayat emphasizes the need for AI to adapt to human culture.
AI agents can fundamentally change business models and operations.
Understanding cultural nuances is crucial for effective AI integration.
The future workforce will require new skills and adaptability due to AI.
Ethics in AI development is essential to prevent negative societal impacts.
Trust will become a key factor in human-AI interactions.
Education systems must evolve to prepare children for an AI-driven world.
Diversity of skills will be important for future job security.
Cognitive decline can occur if we rely too heavily on AI.
A balance between technology use and human interaction is necessary.
Titles
Navigating the Agentic Revolution
AI Agents: Redefining Business and Culture
Sound bites
"Agents must adapt to our culture"
"We might lose autonomy with AI tools"
"Prepare for a genetic society"
Chapters
00:00 Introduction to Agentic Society
02:50 Cultural Integration of AI Agents
05:25 The Role of AI in Corporate Culture
08:12 AI and the Next Generation
10:37 Future Workforce and Education
13:36 Ethics in AI Development
16:04 Preparing for a Genetic Society
Summary
In this episode, Philippe Trounev and Grant McCracken discuss the evolving landscape of cybersecurity, particularly focusing on the role of agentics and AI in enhancing security measures. They explore the implications of new attack vectors like prompt injection, the potential for agent-to-agent attacks, and the innovative approach of agentic pen testing. Grant shares insights on how AI can improve the efficiency and effectiveness of security testing while emphasizing the importance of foundational cybersecurity practices. The conversation highlights the balance between leveraging advanced technologies and maintaining robust security protocols.
Takeaways
Cybersecurity is evolving with the introduction of agentics.
Fundamentals of cybersecurity remain crucial despite new technologies.
68% of data breaches originate from human error.
Prompt injection is a significant new attack vector.
AI can identify existing vulnerabilities but not create new ones.
Agentic pen testing offers continuous, fatigue-free testing.
Contextual vulnerabilities are better identified by AI.
AI pen testing could reduce costs compared to human testers.
Dark Horse aims to make cybersecurity solutions accessible.
AI compute costs are high but expected to decrease over time.
Titles
The Future of Cybersecurity: Agentics and AI
Understanding Cybersecurity in the Age of AI
Sound bites
"68% of data breaches start at the human layer."
"Prompt injection is a new attack vector."
"Agentic pen testing can run 24/7 without fatigue."
Chapters
00:00 Introduction to Cybersecurity and AI Agents
01:42 Changing Attack Vectors in Cybersecurity
03:44 Human Layer Vulnerabilities and AI's Role
07:13 Prompt Injection and Offensive Strategies
11:26 Agentic Systems and Security Risks
12:58 Agent-to-Agent Attacks and Communication Risks
17:03 Agentic Pen Testing: A New Approach
21:33 Cost Efficiency of Agentic Pen Testing
24:48 Exciting Developments in AI Pen Testing
27:53 Future of Agentic Pen Testing and Market Potential
Summary
In this episode, Philippe Trounev interviews Bobbie Chen, a product manager at Stytch, about the challenges and solutions related to AI agents, particularly in the context of security and fraud prevention. They discuss the concept of agentic experience, the importance of effective authentication methods, and the need for businesses to protect themselves from bad bots. Bobby shares insights on implementing agentic solutions, navigating compliance issues, and the future of fraud prevention in an increasingly automated world.
Takeaways
AI agents have unique needs that differ from human users.
Agentic experience is crucial for effective interaction with AI.
Security measures must evolve to protect against bad bots.
Device fingerprinting is a key tool in identifying fraudulent activity.
CAPTCHAs are becoming less effective against sophisticated attacks.
Shadow banning can be an effective strategy against spammers.
Integrating agentic solutions can be quick and efficient.
Compliance with regulations like GDPR is essential for businesses.
The future of fraud prevention will require constant adaptation.
Understanding attack vectors is vital for effective security measures.
Titles
Navigating the World of AI Agents
The Importance of Agentic Experience
Chapters
00:00 Introduction to AI Agents and Security Challenges
02:51 Understanding Agent Experience
05:24 Agent Authentication and Security Risks
08:03 Identifying Good and Bad Agents
10:38 Defending Against Malicious Bots
13:22 Real-World Impacts of Agentic Attacks
16:07 Implementing Agentic Solutions
18:52 Future of Fraud Prevention and Agentic Technology
21:47 Navigating Privacy and Compliance Issues
24:29 Final Thoughts on AI Agents and Security
Keywords
AI, drug discovery, Pauling.AI, language models, FDA approvals, automation, inhibitors, in silico experiments, agentic prompts, healthcare
Summary
In this conversation, Javier Tordable from Pauling.AI discusses the innovative approach to drug discovery using AI and language models. He explains the mission behind the company, the challenges of FDA approvals, and the automation of literature reviews and simulations. The discussion also covers the importance of inhibitors in drug discovery, the differences between in silico and wet lab experiments, and the need for adaptability in AI models. Tordable emphasizes the significance of the mission in improving healthcare and the potential for partnerships in the drug discovery process.
Takeaways
Pauling.AI aims to shorten drug discovery time significantly.
AI-generated drugs follow the same FDA approval process as traditional drugs.
Language models excel at reviewing and summarizing prior research.
Automation of initial simulations can save weeks of work.
Most drugs developed are inhibitors, which block specific biological processes.
In silico experiments are a focus for Pauling.AI, differentiating from wet lab experiments.
The risk of hallucinations in AI requires careful management in drug discovery.
Adapting to rapid changes in AI models is crucial for success.
Human-initiated interactions guide the AI agents' processes.
The mission of drug discovery is to improve lives, not just profit.
Sound bites
"Most drugs are inhibitors."
"We focus on in silico experiments."
"Human-initiated interaction is key."
Chapters
00:00 Introduction to Agentic Drug Discovery
02:15 The Role of AI in Drug Discovery
04:55 Current State of AI-Driven Drug Development
07:25 Challenges in Drug Discovery and AI Integration
10:04 Optimizing AI Agents for Drug Discovery
12:53 Human-AI Collaboration in Drug Discovery
15:39 Future of AI in Drug Discovery
18:13 Insights and Best Practices for Building AI Agents
21:10 The Economics of Drug Discovery
23:41 Conclusion and Future Directions
Keywords
AI news, investment, governance, AI companions, market dynamics, technology trends, AI deployment, valuations, regulatory landscape, business intelligence
Summary
In this episode of So What About AI, Philippe Trounev discusses the latest developments in AI news, focusing on significant investments, the challenges of AI deployment, the rise of AI companions, and the shifting focus of venture capitalists from artificial general intelligence (AGI) to return on investment (ROI). The conversation highlights the complexities of AI governance, the societal implications of AI companionship, and the regulatory landscape affecting AI technologies.
Takeaways
Cognition AI raised $400 million at a $10.2 billion valuation.
95% of enterprise AI pilots fail, indicating a significant challenge in deployment.
97% of AI deployments globally lack proper governance.
AI companions are becoming a concern for governments due to their increasing prevalence.
Venture capitalists are shifting their focus from AGI to ROI, emphasizing profitability.
Companies are increasingly buying AI solutions rather than building them in-house.
The AI market is experiencing a peak hype phase, with significant investments flowing in.
OpenAI's job platform aims to teach humans to work alongside AI.
Mistral's $1.3 billion investment reflects the growing intersection of hardware and AI.
The regulatory landscape is becoming more complex, particularly in the EU.
Sound bites
"OpenAI launches a job platform."
"95% of enterprise AI pilots fail."
"AI agents are at peak hype."
Chapters
00:00 AI News Overview
04:50 Governance and Regulation in AI
09:32 Data Breaches and Security Concerns
In this episode, Ginny Delaiter, founder and CEO of BDS Digital Agency, discusses the intersection of user experience (UX) and artificial intelligence (AI) in marketing. She emphasizes the importance of integrating AI into UX design while maintaining a human-centered approach. The conversation explores how AI can enhance user experience, the need for accessibility in AI-driven designs, and the evolving landscape of UI/UX as AI becomes more prevalent. Ginny shares insights on best practices for adapting websites for AI agents and the importance of educating users about new technologies.takeaways
In this episode of What About AI Agents, host Philippe Trounev sits down with Sofiya Eremenko, founder of the agency Aimly, to discuss the practical, and sometimes surprising, reality of implementing AI at scale. Sofiya shares her hard-earned insights from working in the vibrant but complex GCC (Gulf Cooperation Council) region. She dives into her own "failure experience" with a client-facing AI agent that was meant to automate sales follow-ups. The key lesson? Cultural nuances and different dialects, like those found across the Arab world, are too complex for current AI models to handle effectively. Sofiya learned that a polite "Insha'Allah" from a client doesn't mean a follow-up is necessary—it can be a subtle "no." Instead of a full-automation "autopilot," Sofiya’s team found success by building an internal AI "copilot." This agent acts as a powerful knowledge base, helping sales managers quickly get complex product details without needing to consult with different teams. This system reduced the time to respond to a client from an entire day down to a single hour, proving that the most effective AI solutions often support human work rather than replace it. Tune in to hear more of Sofiya’s insights, including her advice on selling AI solutions by focusing on the "wow effect" of simple use cases and the critical importance of extensive testing to safeguard against unexpected outcomes. Want to be a guest on What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0
#AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch
In this episode of What About AI Agents, host Philippe Trounev sits down with Casey Marquette, CEO of Covenant HR, to explore a game-changing solution for the recruiting industry. Marquette, a former C-suite executive from tech giants like Cognizant and CVS Health, reveals how his company is tackling one of the biggest frustrations in hiring: the endless stream of unreviewed applications and the silent treatment candidates often receive.He introduces Scout, an AI agent so powerful it acts as an HR force multiplier. Imagine a recruiter that screens resumes in 2.2 seconds and works 24/7, ensuring every single applicant gets a fair shot. Marquette explains how Scout handles the entire recruiting cycle, from technical pre-screening to scheduling, freeing up human recruiters to focus on what they do best: building relationships.This isn't just about efficiency it's about a new, more ethical way to hire. Marquette addresses the skepticism around "talking to an AI" and argues that providing consistent, valuable feedback is far better than ghosting a candidate. Tune in to discover how Covenant HR is not only making recruiting faster and smarter but also more humane, proving that the future of hiring is here, and it's powered by AI.Want to be a guest on So What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0#AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch
In this episode of What About AI Agents, host Philippe Trounev sits down with Yaakov Sash, Founder & CEO of CASSO.ai With a vast background in FinTech as the founder of Novospir and a director of credits, Yaakov Sash discusses how his platform helps turn raw ideas into perfect, AI-ready specifications. He makes a crucial distinction between "vibe coding" for quick prototypes and the disciplined approach needed for production-level applications, highlighting the risks of unvalidated, AI-generated code, especially in sensitive sectors like healthcare. Yaakov's insights point to a future where the role of developers evolves from writing code to validating it, with platforms like CASSO.ai providing the necessary blueprints and accountability. Don't miss this practical and future-focused conversation on the evolution of AI coding and the new paradigm of software development. Like, comment, and subscribe for more AI deep dives.
#AI #AIAgents #SoftwareDevelopment #Coding #Innovation #FinTech #Technology #Podcast #VibeCoding #Enterprise #Podmatch
Tune in to a compelling episode of "What About AI Agents,", host Philippe Trounev sits down with Chris McNulty, Chief Marketing Officer at Synozur Alliance and a former Director of Product Marketing at Microsoft. McNulty, who has extensive experience with products like SharePoint and Co-Pilot, shares his insights on the evolving landscape of AI and the transition from product leadership to his current role in management consulting.
McNulty's conversation with Trounev begins with his decision to leave Microsoft after a decade to co-found Syntagr, a management consulting firm focused on business strategy. With a team primarily composed of ex-Microsoft and ex-Accenture professionals, the firm helps clients navigate a variety of business challenges, with a significant focus on AI.
However, he remains skeptical about a universal discovery mechanism for agents, stressing the need for high-quality, trusted agents before they can effectively and securely communicate with each other.
#AI #AIAgents #BusinessStrategy #Innovation #SaaS #Technology #Podcast #Governance #ProductMarketing #GTM #Podmatch
Tune in to a compelling episode of "What About AI Agents," where host Philippe Trounev sits down with Jonathan Kvarfordt, Head of GTM Growth at Momentum.io and founder of GoToMarketAI Academy. Kvarfordt, who teaches people real business impacts using AI, shares his deep expertise on the evolving landscape of AI.The conversation kicks off with Kvarfordt's unique journey into AI, stemming from a decade in sales and enablement. He recounts his early exposure to AI technology and how the release of ChatGPT two and a half years ago spurred him to launch GoToMarketAI Academy, recognizing that most people weren't utilizing AI to its full potential.Kvarfordt dives into the hyper-competitive AI market, emphasizing that companies with small teams are achieving remarkable success by focusing on intuitive and simple user experiences. He argues that this focus drives a "viral network effect," leading users to enthusiastically recommend tools like Lovable and Cursor.A central theme is the debate between vertical and horizontal AI solutions. While horizontal tools can achieve broad adoption, Kvarfordt champions the verticalized approach for many SaaS founders, especially those with limited resources. He posits that deep understanding of a specific persona's problems allows for more tailored solutions and significantly less competition in "blue ocean" vertical markets.#AI #AIAgents #GoToMarket #PromptEngineering #Automation #SaaS #BusinessStrategy #Innovation #Podcast #Podmatch
Tune in to a compelling episode of "What About AI Agents," where host Philippe Trounev sits down with Kristin Zhivago, President of Zhivago Partners and author of "Roadmap to Revenue," named a Forbes Top 6 marketing and sales book. Kristin, a seasoned revenue coach for decades, dives into the critical mistakes companies make when implementing AI. She highlights how automating broken processes or relying on tribal knowledge can lead to a 50% credibility loss and widespread frustration. The conversation stresses that AI agents are not "hands-free" and often make promises on a company's behalf that simply aren't true. Kristin shares a striking example of AI fabricating experience in avionics for her agency, underscoring the vital need for human oversight and rigorous quality assurance, especially since "the whole business world is in beta mode right now." A central theme is the "customer's truth." Kristin champions the importance of understanding customers' true desires, concerns, and questions, revealing that the messaging companies send out often misses the mark. She advocates for external, anonymous customer interviews to uncover these nuances, contrasting them with AI's current inability to grasp such deep human insights. As AI wipes out entire industries, Kristin shares her personal journey of pivoting her own business multiple times due to tech disruptions. She advises entrepreneurs to focus on "what isn't changing" for their customers and to leverage AI to amplify existing core competencies, rather than abandoning them. The episode also touches on the evolving landscape of search, with AI's conversational nature offering a more advisory role compared to traditional search engines.
#AI #AIAgents #Revenue #Marketing #Sales #CustomerCentric #BusinessStrategy #Innovation #Podcast #Podmatch
Tune in to the latest episode of "What About AI Agents," featuring Raj Singh, VP of Product for New Products at Mozilla! 🎧
Join Philippe Trounev as he dives into Raj's extensive experience, from building companies like Pulse (acquired by Mozilla) and Tempo AI (acquired by Salesforce) to his current role leading the launch of Soloist.ai, Mozilla's high-powered AI website builder. Raj shares insights into the massive transformation of the internet due to Generative AI and agentic workflows, highlighting how the sheer volume of AI-generated content is changing search and content consumption. The conversation explores the shifting landscape of content creation, emphasizing the critical role of "vibe creation" and how it's democratizing fractional expertise across various fields, from engineering to design.
Raj introduces his "95% rule," a crucial framework for understanding AI's current capabilities: AI is often 95% accurate, and designing user experiences around this assumption is key. This concept is perfectly illustrated by Solo, Mozilla's AI-powered website builder, which generates the first draft of a website, allowing small business owners to then personalize it. The discussion underscores that while AI significantly augments human productivity, the human element for taste, review, and finalization remains essential, particularly for production-ready solutions.
#AI #AIAgents #GenerativeAI #ContentCreation #Vibe #Expertise #Website #Business #Entrepreneurship #Innovation #podcast #Podmatch
Tune in to the latest episode of "What About AI Agents" featuring Dustin Jensen, AI Growth Strategist at AIAsystem! 🎧
Join Philippe Trounev as he dives into Dustin's extensive experience, from over 20 years in marketing and sales to his current role as founder of AIAsystem. Dustin shares how his "workflow discovery" approach helps companies identify and implement AI-powered agent systems. Learn about AIAsystem's upcoming "ADAPT Framework," a five-stage program designed to bridge the AI adoption gap for enterprises, guiding them from assessment to talent transformation. The conversation highlights the critical need for subject matter expertise (SME) in building effective AI, explaining how AIAsystem converts seasoned professionals into "AI Growth Strategists."
#AI #AIAgents #AIAsystem #BusinessGrowth #WorkflowAutomation #ADAPTFramework #SubjectMatterExpertise #VoiceUI #Entrepreneurship #Innovation #Podmatch