𝐌𝐚𝐤𝐢𝐧𝐠 𝐀𝐈 𝐒𝐭𝐢𝐜𝐤 𝐚𝐭 𝐖𝐨𝐫𝐤: From Pilot to Production

What makes some AI initiatives stick while others fade away?
You've probably seen this pattern: Your team launches an AI pilot. It works. Everyone's excited. Then... nothing. It stays a pilot, or quietly fades away.

The gap between "interesting experiment" and "running in production" is where most AI at work initiatives die.

The issue isn't the AI tools themselves—it's everything around them. Teams pulling in different directions without a shared destination. Barriers nobody's empowered to remove. Skills gaps that never get addressed. AI capabilities sitting unused because the organization isn't ready to adopt them.
In this session, Toby Rao walks through six critical moves that separate AI adoptions that scale from those that stall—based on real experience moving AI tools from experiment to production across aerospace, defense, and enterprise environments.

You'll learn how to:

• Align on a shared destination - Get your team pointing at the same goal before introducing AI tools
• Identify and remove blockers systematically - Technical debt, approval bottlenecks, and cultural resistance that keep adoption stuck
• Map the path with realistic milestones - Not just "done" vs "not done," but meaningful checkpoints everyone can see
• Build capability without stopping delivery - Upskill teams through mentoring and peer learning while shipping
• Design human-AI collaboration that works - Combine judgment and automation in ways that improve real outcomes
• Track what actually matters - Metrics and stories that demonstrate value, not just activity

This session is for:

• Developers and engineers adopting AI tools in their workflows
• Team leads and managers navigating AI adoption with their teams
• Product managers deciding how to integrate AI capabilities
• Agile coaches and Scrum Masters supporting teams through change
• Anyone trying to move AI at work from pilot to production and make it stick

This isn't hype or theory—it's grounded in what actually works when the rubber meets the road. Come ready to discuss what's blocking you and what helps AI adoption stick in production.