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01  ·  It starts with a decision

AI Strategic Consulting

We decide where AI actually wins, then map the path to production.

We do not leave you with a slide deck and a set of aspirations. You get a prioritised, costed roadmap, an operating model, and - if you want it - a working pilot that proves the strategy is real.

How it works

Five focused steps. Each one produces an artefact you can act on.

1

Discover and assess

We map your business goals, data and technology readiness, current workflows, and the points where AI genuinely moves the needle rather than merely adds novelty. We interview the people who do the work and look at the systems that hold your data.

Output: AI opportunity and readiness assessment  ·  ~1 week
2

Prioritise use cases

We score every opportunity across value, feasibility, and risk, producing a ranked backlog with rough-order-of-magnitude cost and expected return. The result is a clear view of what to do first, what to sequence, and what to leave alone.

Output: prioritised, costed use-case backlog
3

Design the operating model

We define who owns AI in the organisation, how it is governed, the skills that need building, the tooling required, and the human-review guardrails that keep it safe. This is how a good idea survives contact with a real organisation.

Output: target operating model and governance framework
4

Roadmap and business case

We sequence a six-to-eighteen-month plan, present the investment view, and lay out the delivery path from pilot to production - in language a board can approve.

Output: board-ready roadmap and business case
5

Prove it with a pilot (optional)

Because the same team that writes the strategy can build it, we can turn the highest-priority use case into a working pilot - validating the strategy in your real context rather than assuming it.

Output: a working pilot of the top use case

How we score use cases

Every opportunity is weighed on the same three dimensions, so prioritisation is transparent.

DimensionWhat we ask
ValueWhat is the revenue, cost, speed, or quality impact - and how confidently can we size it?
FeasibilityIs the data available, is the workflow well understood, and can it be built with today's technology?
RiskWhat are the brand, legal, privacy, and change-management risks, and how are they mitigated?

What you receive

Tangible artefacts, not just a conversation.

Readiness assessment

A clear picture of where you are and what is realistically in reach.

Prioritised backlog

A ranked, costed list of use cases with expected return.

Operating model

Ownership, governance, skills, and tooling for AI in your organisation.

Roadmap and business case

A sequenced plan and investment view a board can approve.

Governance framework

The human-review guardrails that keep AI safe and compliant.

Optional pilot

A working proof of the top use case, built in your real context.

Why it lands

The common failure mode is a strategy handed to a separate team that then finds it cannot be built as scoped. We remove that gap.

Ready to decide where AI wins for you?

Start with an AI Strategy Sprint - a board-ready roadmap in about three weeks.