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.
- AI Readiness Assessment
- Use-Case Discovery and Scoring
- Data and Access Review
- Model and Tooling Selection
- Running-Cost Estimation
- Risk, Privacy and Compliance Review
- Build vs Buy Recommendation
- Prioritised Implementation Roadmap
- Team Enablement and Handover
We are not paid by the model provider. Sometimes the right advice is not to build.
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.
what you get
What does an AI assessment involve?
We start with how the business actually runs and where the friction is, before any technology enters the conversation.
We talk to the teams living the process, because the real bottleneck is rarely the one described in the management summary.
We gather every candidate where AI might help, deliberately including the ones we expect to rule out.
Each candidate is scored on value, feasibility, data readiness and risk, so the shortlist is defensible rather than intuitive.
We check whether the data each use case depends on exists, is current, and can be accessed lawfully and practically.
We match candidates to models and platforms on fit and cost, independent of any vendor relationship.
We estimate ongoing cost at your real volumes and flag anything that scales badly before it becomes a surprise.
We document data handling, retention and training implications for each recommendation.
For each shortlisted item we set out whether to build, buy off the shelf, or leave it alone entirely.
You receive a prioritised, costed plan written so any competent team could execute it.
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.
- Assess: where you are, honestly
- Score: which use cases are worth it
- Cost: what each would cost to run
- Recommend: build, buy, or neither
- Enable: hand over a roadmap you own
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.