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Discovery & Strategy

AI Strategy & Roadmap

Know which twelve ideas to kill and which three to fund.

2 wks
To a ranked portfolio
6–12
Use cases assessed
100%
Cases with a named owner

The problem we solve

Most AI portfolios stall because everything is a priority and nothing has an owner. We build a ranked, costed portfolio tied to the numbers your board already reviews, then design the operating model that keeps it moving after we leave.

What the work includes

AI readiness & maturity assessment

Data, platform, talent and governance scored against a reference model, with the gaps that actually block delivery.

Opportunity scan & value cases

Process-level value pools sized in currency, with assumptions your finance team can challenge.

Investment sequencing

A 4–8 quarter roadmap balancing quick proof against the platform work that unlocks everything else.

Operating model design

Centre of excellence vs federated delivery, funding routes, intake, and decision rights.

Vendor & model selection

Objective evaluation of models, platforms and partners against your workloads and residency rules.

How the engagement runs

A sequence you can plan a quarter around.

  1. 01

    Week 1

    Stakeholder interviews, data and platform review, current initiative audit.

  2. 02

    Week 2

    Value sizing workshops, portfolio scoring, operating model options.

  3. 03

    Week 3

    Roadmap, investment case and board readout.

Common questions

Before you commit.

Can this run alongside existing pilots?
Yes — we assess in-flight work as part of the portfolio and recommend continue, reshape or stop for each.
Do you commit to the numbers?
We publish assumptions openly and re-baseline after the first pilot so the value case tracks reality.

Talk through ai strategy & roadmap.

A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.

Book a briefing