
If AI is already present in your company, the real risk is unplanned AI.
Here's what we often see:
A good AI strategy is a decision list: what to do first, what to stop, and how you measure value.
AI strategy means deciding where AI should help and where it shouldn't. AI planning means turning those choices into a plan your people can follow.
What we deliver:
We deliver the plan and prioritisation. Implementation is a follow-up step via the Agentic Growth Sprint or a separate engagement.


| Option | Who leads | Speed to roadmap | Main risk |
|---|---|---|---|
| Fully in-house | Your own team | Slower | Stalls, low priority |
| External partner | Consultant | Fast | Not rooted in your systems |
| Hybrid (The Agentic Group) | Shared | Fast | Requires stakeholder time |
A hybrid works best when you want decisions grounded in your real systems and people.
Week 1: Interviews and system map
We speak with key process owners and map your current systems and data flows.
Week 2: Workshop and selection
Together we score and select the top use cases based on value, feasibility, and risk.
Week 3: Business cases and governance
Per selected use case we create a business case and define governance rules.
Week 4: Roadmap handover
You receive the full roadmap with owners, milestones, and a 90-day action plan.