AI Foundry

AI Strategy & Consulting

Where AI genuinely helps your business, which tools are worth the running cost, and where a simpler fix wins.
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Know where AI actually helps.

Most AI projects fail on the question nobody asked first: is this the right problem? We assess where AI genuinely fits your business, what it would cost to run, and where a simpler fix would serve you better.

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We are not paid by the model provider. Sometimes the right advice is not to build.

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A roadmap you could hand to any competent team — including one that is not us.

You get a written assessment, a prioritised shortlist, and honest running-cost estimates. Whether we build it afterwards is a separate decision, made once you have the facts.

Start with an honest assessment.

Book a free consultation and we’ll tell you where AI is worth your money — and where it plainly is not.

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what you get

What does an AI assessment involve?

Step 1
Understanding the Business
Discovery Call

We start with how the business actually runs and where the friction is, before any technology enters the conversation.

Step 2
The People Doing the Work
Stakeholder Interviews

We talk to the teams living the process, because the real bottleneck is rarely the one described in the management summary.

Step 3
Building the Longlist
Use-Case Discovery

We gather every candidate where AI might help, deliberately including the ones we expect to rule out.

Step 4
Value Against Effort
Scoring

Each candidate is scored on value, feasibility, data readiness and risk, so the shortlist is defensible rather than intuitive.

Step 5
What Is Actually Available
Data & Access Review

We check whether the data each use case depends on exists, is current, and can be accessed lawfully and practically.

Step 6
Fit, Not Fashion
Tooling Assessment

We match candidates to models and platforms on fit and cost, independent of any vendor relationship.

Step 7
What It Runs At
Cost Modelling

We estimate ongoing cost at your real volumes and flag anything that scales badly before it becomes a surprise.

Step 8
What Leaves Your Systems
Risk & Privacy Review

We document data handling, retention and training implications for each recommendation.

Step 9
The Honest Comparison
Build vs Buy

For each shortlisted item we set out whether to build, buy off the shelf, or leave it alone entirely.

Step 10
Sequenced and Costed
Roadmap

You receive a prioritised, costed plan written so any competent team could execute it.

Step 11
Yours to Act On
Handover

We walk your team through it and answer questions. Whether we build it afterwards is a separate decision.

Creating Success

What makes our advice different?

Independent of the Tooling

We have no reseller margin riding on which model or platform you choose. The recommendation follows the fit and the running cost, not a partner agreement.

Costed, Not Hand-Waved

Every recommendation carries an estimated running cost at your actual volumes. AI that works but costs more than the problem is not a solution.

Willing to Say No

Plenty of problems are better solved with a clearer process or a small script. We will tell you that, even when it means a smaller project for us.

Clarity before commitment. From first conversation to a costed roadmap you can act on with any team you choose.

Product Support Reviews

Excellence driven strategies

Advice you can act on

Written down, not implied.

Written

You get a document, not a verbal steer: what to build, in what order, on what tooling, and what each option would cost to run.

Yours

The roadmap belongs to you and is deliberately vendor-neutral. You can hand it to your own team, to us, or to anyone else, and it still makes sense.

Costed

Every recommendation carries an estimated running cost at your real volumes, so nothing arrives as a surprise on a bill three months later.

FAQ

FAQs about AI strategy and consulting

Trying to work out whether AI is worth it for your business? Start here.

No, that is a reasonable starting point and a common one. Part of the assessment is establishing whether it applies. Sometimes the answer is that it does not yet, and that is a useful result rather than a wasted engagement.

No. The roadmap is deliberately vendor-neutral and written so any competent team could execute it. If the right answer is an off-the-shelf tool or a process change, that is what it will say.

A written assessment: prioritised use cases with scores, recommended tooling with reasoning, estimated running costs at your volumes, risk and privacy considerations, and a sequenced roadmap.

From your real volumes — how many documents, queries or transactions per month — against current model and hosting pricing. We flag where costs scale badly, because that is usually what makes a promising idea unviable.

Typically weeks rather than months, depending on how many processes are in scope and how quickly we can talk to the people who run them.

Regularly. A clearer process, a better form, or a small script often beats an AI project. We would rather be the people who told you that than the people who took the budget.

It is part of the assessment. We identify what data each use case needs, what would leave your systems, and which configurations keep your content out of model training.

No. That is the point of a vendor-neutral roadmap. Plenty of clients take it to their own team, and that is a legitimate outcome.

Yes. A second opinion on something already underway is often the most valuable version of this work, particularly if costs or accuracy are drifting.

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