Advise
Know where AI will pay off before you spend on it.
A clear, prioritised roadmap that ties AI investment to measurable business outcomes, grounded in your data, systems and risk appetite.
Overview
AI Strategy & Consulting
Most organisations do not lack AI ideas; they lack a way to choose between them. We help leadership teams separate the opportunities that will move a metric from the ones that only make a good demo.
Our consultants are practitioners who have shipped production systems, so every recommendation is tested against technical feasibility, data readiness, cost to operate and organisational change, not just ambition.
Problems we solve
- A long list of AI ideas with no shared way to prioritise them
- Pilots that impressed in a demo but never reached production
- Uncertainty about build vs. buy, vendors and total cost of ownership
- Board or regulator pressure to have a credible AI position
What’s included
A complete engagement, end to end.
Opportunity assessment
Structured interviews and process mapping across functions to surface high-value use cases.
Value & feasibility scoring
Each opportunity scored on impact, effort, data readiness and risk, in a model you keep.
Data & platform review
A pragmatic audit of the data, infrastructure and skills you already have.
Build-vs-buy analysis
Vendor-neutral comparison of off-the-shelf tools, APIs and custom development.
12-month roadmap
Sequenced initiatives with owners, budgets, milestones and success metrics.
Executive briefing
A concise board-ready narrative and an operating model for AI delivery.
Process
How the work unfolds.
Phase 1
Discover
Two weeks of stakeholder interviews, data sampling and systems review.
Phase 2
Prioritise
Joint workshops to score and rank opportunities against agreed criteria.
Phase 3
Plan
Detailed roadmap, business cases and resourcing plan for the top initiatives.
Phase 4
Mobilise
Kick-off support for the first initiative so momentum is not lost.
Technology
Tools we use, chosen on merit
Frameworks
- Value/feasibility matrix
- TCO modelling
- Risk tiering
- OKR alignment
Deliverables
- Roadmap
- Business cases
- Operating model
- Executive deck
Sample outcomes
What clients typically see
- 6 wks
- Typical time from kick-off to approved roadmap
- 3–5
- Prioritised initiatives with signed-off business cases
- 1
- Shared scoring model your team keeps using
Illustrative results from past engagements. Outcomes vary by context.
FAQ
Common questions
How long does a strategy engagement take?
Most run four to eight weeks depending on the number of business units involved. A focused single-department assessment can be completed in three weeks.
Are you tied to any AI vendor?
No. We are vendor-neutral and are not paid referral fees, so recommendations are based purely on fit, cost and risk.
Will you also build what you recommend?
We can, but you are under no obligation. Roadmaps are written so that any capable team, internal or external, can execute them.
Who needs to be involved from our side?
An executive sponsor, a day-to-day point of contact, and roughly an hour each from the leaders of the functions in scope.
Let’s discuss your project.
Tell us what you want to achieve with AI strategy & consulting. A senior consultant will reply within one business day.