AI consulting
Decide what to build before anyone builds it.
A short, evidence-led engagement that works out where AI is genuinely worth applying in your business, what each opportunity is worth, what it would cost to run, and what has to be true before it can work. The output is a plan you could hand to any engineering team.
What's Included
Opportunity assessment
We go through the workflows that cost you most and separate the ones AI actually changes from the ones that need a process fix or a better form.
Feasibility and data readiness
What each opportunity depends on: the data it needs, where that data currently is, what state it is in, and what it takes to close the gap.
Build, buy, or wait
For each opportunity, whether an existing product already solves it, whether it is worth building, or whether the honest answer is to leave it for now.
Model and vendor strategy
Which models and providers fit the work, where an open model is enough, and how to stay swappable so next year's release is a config change.
Cost and running economics
What each system would cost to run at your real volume, not a demo's, including the model usage, the infrastructure, and the human review time.
Governance and policy
Who approves what, what gets logged, what data may leave your estate, and the written policy your team applies once systems are live.
How the work runs
Tell us what you are weighing
The workflow you think could be automated, or just the pressure you are under. A short written brief is enough to start. Someone technical reads it, not a sales rep.
passed when we reply with questions and a proposed shape
Agree the questions
We settle which decisions the engagement has to answer, and what access it needs to answer them, before it starts. An assessment that ends in 'it depends' is one nobody scoped properly.
passed when the questions and the access are agreed
Work through the evidence
We go through the workflows, the data behind them, and the systems they touch, with your people rather than around them. Findings are shared as they land instead of held back for a reveal.
passed when every opportunity has a number and a reason attached
Hand over the plan
A ranked roadmap with the reasoning, the data gaps, the running costs, and the governance. Written so that any engineering team could pick it up, including one that is not us.
passed when you could act on it without another call
How pricing works
Fixed price per milestone
You approve each milestone and its price before it starts, so the cost is known before the work is rather than after. Milestones are sized to be worth reviewing on their own.
Monthly rate for a dedicated team
A set team at a set monthly cost, with notice rather than a minimum term. Priorities move between sprints without renegotiating anything.
Scoping first, quote after
We work out what it should be with you before quoting it. There is no charge for that conversation and no obligation to go ahead.
Frequently asked questions
What You Get
Tangible outcomes delivered to your business from day one.
