AI in Corporate Training: A Practical Guide for CLOs Who Want Results, Not Experiments

[Infopro Learning]

AI in corporate training has no shortage of pilots. What it lacks is pilots that make it to production. McKinsey’s State of AI research found that most organizations are still stuck experimenting or piloting, and only about one-third have begun to scale. An MIT report is blunter: only 5% of integrated AI pilots deliver measurable P&L impact.

The cause is rarely the tool. The tool gets bought before the problem is defined. Nobody owns the path from pilot to production. Learning teams work without a business mandate. And the conversation stays on content creation, while delivery, the layer that decides whether training works at scale, goes untouched.

This eBook is for CLOs who have run out of patience for experiments. It shows where AI actually changes training delivery, how to measure outcomes your CFO will recognize, and how to build an internal case that survives the boardroom without overselling it.

What you’ll find inside the eBook?

• Why AI Training Initiatives Stall
• The Delivery Layer Nobody Talks About
• Measuring What Actually Matters
• Building the Internal Case Without Overselling It
• From Experiment to Execution

Your next AI pilot doesn’t have to end up in the backlog. Learn how to turn it into a training function that runs differently because of AI.

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