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AI STRATEGY & ROADMAP

An AI strategy your board can back

From scattered pilots to a funded, prioritised AI portfolio

We set the ambition, rank the use cases on value and feasibility, design the operating model and build a 12–24-month roadmap your leadership team owns.
01 / 04 —— WHEN YOU NEED IT

When AI needs a plan

The board is asking about AI, budgets are spread across disconnected pilots and every vendor has a tool to sell. Activity is high, but value is hard to show.

 

A strategy turns that activity into a short list of bets the business will fund, own and measure.

02 / 04 —— WHAT YOU GET

What you get

01 — ON A PAGE

AI strategy on a page

Ambition, priorities and guardrails in one view the board can discuss and approve.

02 — PORTFOLIO

Ranked use cases and value case

Your use cases scored on value, feasibility and risk, with a business case for the leaders.

03 — ROADMAP

Roadmap and operating model

A 12–24-month roadmap, the AI operating model and the governance to run it.

03 / 04 —— HOW WE BUILD IT

How we build it

Typically 6–10 weeks, starting from the AI Readiness Diagnostic.

01

Ambition

WEEKS 1–2

Align leaders on where AI should move the numbers. You get agreed goals and guardrails.

02

Portfolio

WEEKS 2–5

Generate, score and rank use cases across the business. You get a prioritised portfolio with value cases.

03

Operating model

WEEKS 4–7

Define ownership, skills, data, platforms and governance. You get the model to deliver at scale.

04

Roadmap

WEEKS 6–10

Sequence the work, the investment and the milestones. You get a 12–24-month roadmap ready to fund.

04 / 04 —— WHY IT STICKS

Why it sticks

01

Owned by the board

Leaders shape the priorities, so the strategy is theirs to fund and defend, not a consultant's report.

02

Led by value

Every use case carries a value case and an owner, measured against the KPIs your board already tracks.

03

Grounded in your ERP

Plans reflect what your data and ERP can support today, so the first steps can start straight away.

FAQ —— QUESTIONS LEADERS ASK

AI strategy: common questions

What does an AI strategy engagement deliver?

A ranked portfolio of AI use cases, a value case for each, the operating model to run them, and a 12–24-month roadmap your board can approve and fund.

 

How is this different from a strategy deck from a large consultancy?

The partner who builds the strategy stays to deliver it. We have spent 20+ years inside SAP and ERP programmes, so every use case is tested against your data, systems and people before it reaches the roadmap.

 

How long does it take?

Most strategies take 6–8 weeks, depending on how many business units are in scope and how ready your data is.

 

Do we need a data platform in place first?

No. Part of the work is finding out what your current ERP and data estate can support now, and what has to be fixed before each use case can pay back.

 

Are you tied to any AI or software vendor?

No. We are independent, so our recommendations follow your business model, not a licence target.

NEXT STEP

Start with an AI Diagnostic: the fastest route to a strategy your board can back.

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