AI Strategy & Consulting

Most organisations do not lack ideas for AI. They have a long list from every department, a few pilots that stalled, and no shared view of which ones are worth funding. Money tends to follow the loudest sponsor, and the data work that would make any of it succeed is left until later. Strategy work turns that list into a short, ranked plan with numbers behind it.

A ranked list, not a long one

Every use case is scored on value, feasibility, data readiness, and risk, against the same criteria.

Numbers your finance team accepts

Business cases are built from your own cost and volume data, with every assumption written down.

A plan with owners

Each step has a named owner, a budget range, and a date by which a decision is needed.

Use-case portfolio

A long list of candidates, scored and ranked, with a one-page profile for each of the top ones.

Business case and ROI model

Cost, benefit, and payback for each prioritised use case, in a spreadsheet your finance team can change.

Data readiness assessment

A check on whether the data each use case needs exists, can be reached, and is good enough, with the gaps listed.

Build, buy, or partner calls

A reasoned recommendation for each use case, with a vendor shortlist where buying makes sense.

Operating model and governance

Who owns AI work, how projects are approved, and which risk and review controls apply.

90-day roadmap

Sequenced steps for the first quarter, with owners, dependencies, and budget, ready for a leadership decision.

• Which use cases come first?

  What we bring

  A scoring method agreed with your leadership before we look at any idea, so the ranking is not a matter of opinion.

  You leave with

  A ranked portfolio and a clear first project.

• Do we build, buy, or partner?

  What we bring

  Knowledge of the products on the market and what a custom build costs to run, with no commission from any vendor.

  You leave with

  A recommendation for each use case, with the reasoning.

• Is our data ready?

  What we bring

  A hands-on review of the sources each use case depends on, checked against real samples.

  You leave with

  A list of gaps, with the data work sized and sequenced.

• Who owns this?

  What we bring

  Operating models from comparable organisations, and a view on what suits your size and structure.

  You leave with

  Named roles and an approval route for AI projects.

• What do we fund, and when?

  What we bring

  Cost ranges and a payback view for each option, so spend can be released in stages.

  You leave with

  A phased budget with a go or no-go point at each stage.

1. Phase 1

   1 to 2 weeks

   Listen

   • Interview the executive sponsor and six to ten people who run the work
   • Review your current systems, data sources, and any AI work already under way
   • Agree the scoring criteria and what counts as success

   You receive

   Findings summary and an agreed scoring method.

2. Phase 2

   2 weeks

   Assess and rank

   • Build a long list of use cases from the interviews and a working session
   • Score each one with your team in the room
   • Check data readiness for the top candidates against real samples

   You receive

   Ranked portfolio and a data readiness report.

3. Phase 3

   1 to 2 weeks

   Plan

   • Build business cases for the top use cases
   • Make the build, buy, or partner calls
   • Draft the roadmap, operating model, and budget
   • Present to your leadership team and record the decisions

   You receive

   Roadmap, business cases, and a leadership readout.

How we work with you

Independent advice

We do not resell software or take vendor commissions, so build or buy calls are made on fit and cost.

Responsible AI review

Every shortlisted use case is checked for bias, privacy, and regulatory exposure, including the EU AI Act where it applies.

Confidential by default

Interview notes and data samples stay in a restricted workspace, under an NDA signed before we start.

You own the output

Every document, model, and scoring sheet is yours, in formats your team can edit.

No lock-in

The roadmap can be delivered by your team or any partner. Working with us on delivery is optional.

Methods and tools

Scoring

A weighted scorecard on value, feasibility, data readiness, and risk, agreed with you in week one

Business cases

Spreadsheet models with every assumption listed, open for your finance team to change

Data review

SQL and notebook sampling of real data, using the catalog and lineage tools you already have

Workshops

Facilitated working sessions, in person or remote

Risk frameworks

NIST AI RMF and ISO/IEC 42001 as reference points, adapted to your sector

Vendor evaluation

Structured scoring against your requirements, with proof-of-concept tests where needed

We use the tools you already have. There is nothing to buy or install.