The world has changed, and in the last 6 months the world of AI has rapidly accelorated. Most organizations are still treating AI like a smarter search engine; typing prompts, getting answers, copy-pasting results, and wondering why the productivity gains haven't shown up. The problem isn't the technology. It's the mental model.

The next wave of AI value isn't conversational. It's operational. It comes from giving AI complete jobs, workflows that previously required a person, and letting it read the inputs, make the calls, draft the outputs, and queue them for human approval. Not a chatbot that suggests. A coworker that executes.

In this session, Craig shares the workflows he built, the patterns that worked, and the ones that failed.

You'll leave with:
A framework for spotting which workflows in your department are ready to automate

The Read → Decide → Draft → Approve → Execute pattern that separates AI tools from AI teammates

Why "prompt engineering" is the wrong skill to invest in, and what's actually driving real business ROI

Why human-in-the-loop isn't a constraint on AI, it's the unlock that makes AI valuable to a business

Why your competitive advantage in 2026 won't come from having AI, it'll come from how you deploy it

For executives and business users in any department. No technical background required.