AI Consultation
What is genuinely worth doing with AI in your business, whether your data can support it, and what getting it working would actually cost. It ends with a costed plan, not a scorecard.
Most AI advice is a document nobody can act on.
You can buy a strategy deck, an assessment and a roadmap from any consultancy in the country. What none of them tell you is whether your data will actually support the thing they recommended, and what it costs to keep it running once it is live. That is the part we do, because we are the people who would then build it.
What a consultation covers
The data you actually have
Not the data on the architecture diagram. Where it lives, what state it is in, and whether it can support what you want to do.
The use case behind the ask
Usually there is a business problem underneath the AI request, and sometimes the best answer to it is not AI at all. We will say so.
What working would mean
How you would know the system is right, defined in numbers before anybody builds. Skipping this is how projects end in arguments.
What it costs to run
Not just to build. Token spend, infrastructure and the engineering time to keep it accurate, sized for your volume.
Governance and risk
Where your data may go, what has to stay on your infrastructure, and what your compliance team will ask before this goes live.
A path you can price
Phases, what each delivers, and what each costs. Enough to take to a board rather than a document that ends in recommendations.
How a consultation runs
One to two weeks, fixed fee. Paid, because a free assessment is worth what you pay for it.
Discover, Design, Build, Deploy, Optimize.
Forward Deployed Engineering: senior engineers inside your team, on the same five stages every time.
Discover
We map how your business actually sells, what your data looks like, and what it would take to get this working. You get a costed plan, not a proposal full of maybes.
Design
Architecture, integrations and the checks we will be judged by. Agreed before anybody writes code, so nobody argues about done later.
Build
Senior engineers writing code inside your environment, in two-week sprints. You watch it get built rather than waiting for a handover.
Deploy
Live and monitored, on your own servers or private cloud where your data governance needs it. This is the stage most projects never reach.
Optimize
Measured against the checks from stage two, tuned for cost, and watched. We stay until it runs without us.
Questions buyers ask us first
Because a free assessment is a sales exercise with a predictable conclusion. Paying for it means we are working for you rather than for the follow-on contract, and it means we can tell you not to build the thing.
A written assessment of your data and use case, a definition of what working would mean in numbers, an architecture direction, a phased plan with costs, and a clear recommendation including whether to proceed.
No. The document is yours and it is written to be usable by anyone. Plenty of clients take it to their own team.
One to two weeks for most engagements. Longer if the data is spread across many systems, and we will tell you that before starting rather than halfway through.
Start with the problem, not the technology.
Tell us what is slow, expensive or full of mistakes in your business today. A senior consultant will tell you whether AI is the right tool for it, and what it would take to get it working if it is.