Moving AI from individual tools to shared product practice.

Context.

Early AI use was valuable but individual. The wider opportunity was to make product knowledge and repeatable practice available across teams rather than rely on isolated prompts.

The challenge.

Scaling adoption required evidence, shared context and clear working practices—not simply more licences.

Jon’s remit.

Jon initiated the first product-team pilot, built the evidence case for wider investment, established AI champions and sponsored an AI product agent and context layer.

Decisions and actions.

• Tested practical workflows across research, requirements, decisions and prototyping – included hands-on product building.
• Created shared skills and context so useful practice could travel between teams.
• Connected adoption evidence to a broader product and engineering operating model.

Outcomes.

• Expanded from a small pilot into a scaled pilot ahead of full enterprise deployment.
• Established an internal network of AI champions.
• Created the foundations for agent-assisted product and engineering delivery.