INSIGHT · AI AND TRANSFORMATION

How to build an AI transformation roadmap

A roadmap is not a long list of use cases. Its function is to justify the sequence and give management a predictable investment curve.

Key takeaways

  • A roadmap is not a list but a justified sequence.
  • Difficulty scoring includes the process owner's willingness.
  • The high benefit–low difficulty quadrant forms the first wave.
  • Without quarterly review a roadmap ages within six months.

Start with a maturity assessment

Current state is mapped across five axes: data access, technical infrastructure, capability, governance and culture. Plans made without this typically start two steps ahead of where the organisation actually is and stall in the first quarter.

The output is not a score but a list of constraints: which use case is impossible for now, and because of what?

The use case portfolio

Short sessions with teams produce a decision inventory. The three properties sought are constant: decisions that repeat often, take time and are costly to get wrong.

The resulting list is typically 20–40 items. The list itself is not a plan; the plan is how the list is sequenced.

The value–effort matrix

Each use case is scored on two axes. On the value side sit hours saved, error reduction and revenue impact. On the effort side sit data access, integration, privacy sensitivity and the process owner's willingness.

That last item is the most often skipped and the most decisive. A technically easy use case with an unwilling owner moves slower than a technically hard one that is genuinely owned.

Quarterly milestones

The high benefit–low difficulty quadrant forms the first wave and usually becomes a 90-day starter programme. The high benefit–high difficulty quadrant spreads across the second and third quarters.

Each milestone carries a budget range, an accountable role and a measurable success criterion. The roadmap is reviewed quarterly and what is learned changes the sequence.

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WRITTEN BY

Avenra AI and Transformation team

This insight was prepared by the Avenra team running field projects in ai and transformation. Editorial responsibility sits with founder and chief strategist Taylan Yıldız; the material is based on applicable findings from client work.

03FAQ

Frequently asked questions

How long does it take to build?
Typically 5–7 weeks: maturity assessment 3 weeks, portfolio and prioritisation 2 weeks, plan and budget frame 1–2 weeks.
How many years should the plan cover?
12–24 months. Longer plans are unrealistic given the pace of technology; shorter ones do not justify the investment decision.
Can we run a pilot without a roadmap?
You can, and sometimes that is right. Producing quick evidence in one use case can beat waiting for a comprehensive plan — and the roadmap comes out far sharper afterwards.
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