You have a "Shelfware" problem. You spent months procuring the "safe" enterprise AI tool, yet your team is still secretly using the "risky" consumer tools they actually like. We call this the "Shadow AI Paradox," and it is costing you millions in wasted budget and hidden security debt.
In this session, Mike Allton (The AI Hat) flips the script on AI governance. Instead of banning the tools your high performers love, you will learn the "Shadow-First" methodology: using unauthorized usage data as the ultimate buyer’s guide. You will discover how to turn "rogue" employees into your R&D lab, secure your data without slowing down operations, and finally build a tech stack your team will actually use.

3 Key Takeaways:

1. The "Shadow-First" Procurement Model: How to stop guessing what software to buy and start licensing the tools that have already won the internal popularity contest.
2. The "Traffic Light" Heuristic: A 30-second training framework that teaches every employee exactly when to use "Green Light" consumer AI versus "Red Light" enterprise systems.
3. The Amnesty Protocol: How to launch a "Safe Harbor" program that incentivizes your team to reveal their hidden tools, giving you a roadmap for innovation rather than a list of punishments.

Speaker Bio:
Mike Allton is a Revenue Architecture Specialist and the founder of The AI Hat. A veteran of the MarTech trenches, Mike helps Revenue Leaders escape the "GenAI Divide"—the gap between the 5% of companies winning with AI and the 95% stuck in pilot purgatory. He specializes in "Sanctioned AI" architectures: building the practical, safe, and high-impact workflows that allow human teams to collaborate with digital agents to drive measurable P&L growth.