Turn Your Workforce into AI Builders: Use this 3-Layer Framework
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Many organizations are investing heavily in AI tools, but few are educating their workforce on the best use cases.
This is where adoption stalls and businesses stop seeing returns.
In this session, Ashley Gross, a Forbes-recognized AI consultant, sits down with Jennifer John, AI Operations Lead at Ramp, to share why AI adoption stalls on teams and how to build AI fluency across your entire organization using Ashley’s 3-layer framework.
Here’s what you’ll take back to your organization in this one-hour session:
- Where AI adoption stalls, and why adding more tools can widen the gap
- The 3-layer framework for building AI fluency - and what it looks like in practice for your own team
- How to identify your internal AI builder - the person on your team who owns AI development on your team
About the speakers
Ashley Gross
CEO, AI Workforce Alliance
AI Teacher, Speaker, Consultant, Executive Workshops Host I work with executives who are navigating real pressure around AI. Revenue expectations. Headcount questions. Speed. Risk. And the growing gap between what is possible and what is actually being delivered. Before tools like ChatGPT made AI mainstream, I was implementing AI inside large organizations. In one deployment, AI driven initiatives exceeded a 90 million dollar annual sales pipeline target in just three months, reaching 115 million. That experience shaped the AI Impact Alignment™ process. It forces hard choices. What matters. What does not. What should be automated now. What should remain human. And how leaders stay in control while moving faster. Today, I advise leadership teams, speak to executive audiences, and teach organizations how to make AI decisions that hold up under scrutiny.
Jennifer John
AI Operations Lead, Ramp
Jennifer John is an AI Operations Lead at Ramp, where she builds internal tools and leads enablement programs to empower teams across Ramp to leverage AI effectively. She was previously a Technical Product Manager at the health tech startup Roon, where she led internal initiatives to enable non-technical team members to build with AI. She studied human biology and computer science at Stanford University.
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