Description:
AI tools are moving fast… but governance isn’t keeping up. In this episode, Matt sits down with AI strategist Jill Heinze to explore what happens when generative AI moves from experimentation into real-world deployment. From chatbots in regulated industries to internal productivity systems, the conversation focuses on the risks that emerge once AI starts interacting with real users and real data.
Jill shares how her background in user research led her to focus on anticipatory design and AI governance. Instead of reacting after something breaks, her approach centers on identifying risks early. That includes understanding data flow, training inputs, model behavior, and the unintended consequences that can surface when AI systems are deployed at scale.
Together, Matt and Jill explore the shift from prototype thinking to production-ready AI. The discussion highlights the importance of building responsibly, protecting sensitive data, and designing systems that account for both opportunity and risk. For builders, agencies, and teams experimenting with AI, this episode offers a grounded perspective on what it really means to ship AI safely.
Key Takeaways:
- Generative AI introduces new risks that require governance before deployment
- Once sensitive data enters training pipelines, it’s difficult to remove
- AI systems become more complex as they move from prototype to production
- Anticipatory design helps teams identify risks early in development
- Data flow and architecture decisions matter as much as model choice
- Responsible AI is not just enterprise thinking, it applies to builders too
Jill Heinze
Jill Heinze helps product leaders make smarter AI decisions through strategic intelligence and ground truth research. As founder of Saddle-Stitch Consulting, she reveals the gap between what organizations assume about AI and what users actually experience, helping them spot opportunities competitors miss and avoid expensive mistakes before they happen.
With 20 years of experience in user research, competitive intelligence, and digital product strategy, she's worked with Fortune 500 clients across financial services, healthcare, and technology. As Research Director and Lead of the Data and AI Research team at a major consultancy, she built an AI evaluation framework that guided high-stakes implementations and founded the firm's first executive AI governance committee.
Her approach combines market research rigor with practical implementation experience, bridging strategy and execution to help organizations navigate AI uncertainty with confidence.
She serves as Responsible AI Program Director for The American College of Financial Services, is a member of the AI Leadership Institute, and hosts Responsible Tech Talks on LinkedIn Live.
Based in Charlottesville, Virginia, Jill enjoys local wineries, sci-fi shows, cake decorating, and cat wrangling.
THE MEAT OF IT!
- Why AI Governance Is Suddenly a Big Deal
- The generative AI moment and what changed
- Risk vs opportunity in modern AI tools
- Why adoption outpaced preparedness
- From User Research to AI Risk Strategy
- Jill’s background in research and librarianship
- Empathy for real users interacting with AI
- Anticipating unintended consequences
- The Enterprise Wake-Up Call
- Chatbot for a financial services client
- Last-minute risk discovery
- The need for governance and oversight
- Building Governance Into the Process
- Executive-level AI governance function
- Premortem and anticipatory design
- Catching risks before development starts
- Data Flow, Bias, and System Architecture
- Where training data comes from
- How information moves through AI systems
- Why you can’t easily “untrain” a model
- Moving From Prototypes to Production
- Internal experimentation vs public deployment
- Consumer-facing complexity
- Why thinking ahead matters more now
Check out these related Episodes:
- Episode 266: Jill Heinze – How a Research-Driven Librarian Became an AI Governance Architect
- Episode 269: Tetiana Kobzar – Creating Products People Love to Use with Behavioral Design & Gamification
- Episode 270: Michael Haynes – From Corporate Strategy to Practical B2B Go-To-Market Growth
