Strategy
AI strategy & roadmap
Opportunity scan across your value chain, use-case prioritisation by value and feasibility, build / buy / partner decisions and a business case your CFO will sign.
Pillar 02
Consulting that decides what to build — and what not to.
Strategy is only useful if it survives contact with your data, your systems and your people. Our consultants are the same people who build, so every recommendation comes with a realistic path to delivery.
What we advise on
Four practices.
Data
Data strategy & architecture
The foundations AI depends on: data ownership, lakehouse and warehouse design, quality, lineage and governance — sized for what you actually need.
Transformation
Digital transformation
Process redesign around intelligent systems, operating-model changes, adoption and change management so that new tools are used, not just installed.
Governance
AI readiness & governance
Risk assessment, responsible-AI policy, security and compliance frameworks (including data-protection and sector regulation) and a review process that scales.
Vendor
Platform & vendor selection
Independent evaluation of AI platforms, model providers and tooling — with hands-on benchmarks rather than analyst quadrants.
Leadership
Executive & board briefings
Plain-language sessions on what AI changes for your industry, what competitors are doing and where to place bets this year.
How we work
Short, intense, and tied to a decision.
Consulting engagements are scoped around a decision you need to make — not a report you need to file. Most run two to six weeks, mix workshops with hands-on data inspection, and end with a prioritised plan and, where it makes sense, a pilot proposal from our engineering team.
- Builders, not slide-makers. The consultant on your engagement has shipped the kind of system they recommend.
- Evidence over opinion. We test assumptions against your real data during the engagement.
- Small teams. One to three senior people, directly accountable.
- No lock-in. Recommendations are vendor-neutral; you can execute with us or anyone else.
- Fixed price. Scope, timeline and fee agreed up front.
What you get
Artefacts you'll actually use.
AI roadmap
Ranked use-case backlog · 12–18 month sequencing · investment and ROI model · capability gaps and hiring plan.
Data & platform blueprint
Target architecture · migration path · governance model · tooling shortlist with benchmarks.
Governance pack
Responsible-AI policy · risk register · review workflow · compliance mapping for your sector.
Questions we hear
Straight answers.
We've already done an AI strategy. Why another one?
You probably don't need one. We're more useful turning an existing strategy into a sequenced, costed backlog — or stress-testing it against your data before you spend.
Do you only recommend solutions you'd build?
No. Buying is often right, and we'll say so. We benchmark off-the-shelf options alongside custom builds and show the numbers.
How senior are the people on the engagement?
Every engagement is led by a senior consultant with hands-on delivery experience. We don't staff juniors behind a partner.
Related
The other two pillars.
Facing an AI decision?
Bring it to a 30-minute discovery call. We'll tell you what we'd do — and what we'd skip.