Transform
AI Transformation Programme
Start at team scale. Prove value. Then scale what works.
The structured engagement that begins at team scale, proves value in a real environment, and co-creates the scaling roadmap with your stakeholders. Duration adapts to your scope — from a focused first experiment to a full organisational rollout.
Why most programmes fail
AI transformation that holds.
Most AI transformation programmes fail for the same reason: they are designed from the outside and deployed top-down. We do it differently. Start small. Prove value. Then scale what works.
The problem is not technology. The problem is sequence. Organisations buy the solution before they understand the problem. They roll out before they have proved anything. And they build dependency on external consultants instead of internal capability.
Our approach: start at the smallest useful scope, run real experiments, co-create the next steps based on evidence, and only scale what has worked. The first step is never a programme. It is an honest assessment.
| Common symptom | Root cause |
|---|---|
| Pilots that never scale | No scale criteria defined upfront |
| Teams trained but not changed | Training disconnected from daily work |
| ROI invisible after 12 months | KPIs not defined before launch |
| Vendor dependency after engagement | Knowledge transfer treated as afterthought |
What a typical month looks like
The monthly rhythm.
Ongoing value delivered
What you get, every month.
- AI-first discovery coaching — sharper user research, faster synthesis
- Regular backlog reviews with an AI lens — cleaner, more actionable backlog
- Design sprint facilitation — structured, AI-augmented problem solving
- Prioritisation & trade-off support — better calls, faster decisions
Engagement model
Flexible. Retainer-based. Committed.
Common questions
FAQ
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It can work, but we recommend starting with the AI for Product Owners programme first. A team with a shared AI foundation gets significantly more value from coaching than a team that's still in the orientation phase. If your team is genuinely starting from zero, we can sequence a foundation programme into the first month of the engagement — we'll scope this in the initial call.
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Yes. We agree the monthly cadence at the start of each month based on your sprint calendar, planned design sprints, and specific priorities. Some months you'll want more days front-loaded before a big sprint; others might be lighter on in-person time with more async support. The 4–8 day range gives you that flexibility within a predictable retainer structure.
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A typical 6-day month looks like this: 2 days of discovery coaching sessions with the PO/PM, 1 day of backlog review and prioritisation work, 1 day of design sprint facilitation or preparation, and 2 days of async support distributed across the month. At the end of the month we do a 30-minute review of what landed and what to prioritise next. The specific mix adjusts based on what's most valuable right now.
Build the foundation first
The ideal starting point.
AI for Product Owners & PMs
Build the AI foundation before coaching begins. Teams who've completed this programme get significantly more value from the embedded coaching engagement.
View programmeAI for Scrum Masters
When the Scrum Master has their AI toolkit alongside the PO/PM coaching, the whole product team operates at a higher level from day one.
View programmeEvery transformation starts with a free AI Maturity Assessment.
30 minutes. Senior consultant. No commitment. Results visible within weeks.
Book my free AI Maturity Assessment