90 Days In: What AI Adoption Looks Like

The first month of an AI programme is full of energy: new tools, quick wins, visible excitement. By month three, something different is happening. In some teams, AI is becoming part of how work gets done. In others, the initial momentum has stalled. The difference between these outcomes is not accidental.

We've been inside enterprise AI programmes at 30, 60, and 90 days. We see what separates teams that sustain momentum from those that plateau: how they build skills libraries, how they structure AI champions, how they give teams permission to build rather than just use. This session shares what we've observed across multiple deployments.

We'll walk through the 90-day arc: what to expect, what to watch for, and the interventions that keep programmes accelerating rather than stalling. We'll include specific examples of what AI adoption looks like at month three in different functions, from engineers building production agents to finance teams automating month-end processes.

What you'll learn:

• What the 30/60/90 day arc looks like in enterprise AI programmes
• The signals that tell you a programme is about to plateau and how to respond
• How to build a skills library that compounds over time
• Structuring AI champions: who they are, what they do, and how to support them
• What mature AI adoption looks like in specific functions at 90 days

Who should attend:

Programme leads, Heads of AI, CHROs, and CIOs managing active AI transformation programmes. Relevant for anyone 60+ days into a deployment who wants to ensure it keeps moving.

What you'll leave with:

• A 90-day benchmark: what healthy AI adoption looks like at each stage
• A framework for structuring AI champions in your company
• A checklist of the interventions that prevent the 90-day plateau