AI Strategy & Roadmap

An enterprise AI vision with priorities, an investment case and a sequenced roadmap that your board can challenge.

Typical duration: 6–12 weeks

AI Strategy & Roadmap

Advise Typical duration: 6–12 weeks

An enterprise AI vision with priorities, an investment case and a sequenced roadmap that your board can challenge.

Who it is for

Executive teams setting the direction for AI across the organisation.

What you get

  • AI vision and priorities
  • An investment case with cost and benefit
  • A proposal for who owns what
  • A sequenced roadmap
  • A board-ready summary

How it works

1. Align2. Weigh options3. Draft4. Present
AI Strategy & Roadmap
Now (0-3 months)Next (3-9)Later (9-18)Assess and decidePilot two use casesPlatform and dataScale and train Illustrative example, not client data.

Ways to start

AI Strategy SprintAbout 6 weeks · Priorities and a first roadmap
Enterprise AI StrategyAbout 3 months · Full strategy, investment case and operating model
National or sector AI programme6–12 months · Programme-level strategy and roadmap

Frequently asked questions

How long does an AI strategy engagement take?

The core sprint runs over two to three days on site. The written roadmap, use-case register and ROI estimates are delivered within one week.

What is the output of an AI strategy engagement?

A prioritised use-case register, a phased delivery roadmap, ROI estimates for the top three use cases, and a board-ready summary deck.

Do we need data or existing AI infrastructure before the sprint?

No. The sprint starts with interviews and process walkthroughs. Data readiness is assessed as part of the output, not a prerequisite.

Is this suitable for organisations with no AI experience?

Yes. The sprint is designed for teams at the start of their AI journey, as well as those with existing pilots that have stalled.

What is the difference between an AI strategy and a digital transformation strategy?

A digital transformation strategy covers the full scope of technology-enabled change. An AI strategy focuses specifically on where large-language models, machine learning and automation create measurable business value — and in what sequence to pursue them.

What Usually Comes Next

Need a platform for this? See Partners. Need people to deliver it? See AI Specialists.

Tell us what you want to achieve with AI.

Start with an AI Readiness Assessment: a scored list of use cases and a clear roadmap.