We treat AI like the production system it has to become — with the rigor of a serious engineering team and the honesty of a partner you'd want on your side of the table.
If a SQL query, a rule engine or a better-designed form solves it, that's what we'll recommend. We don't get paid for AI for AI's sake — we get paid for outcomes that survive your next budget review.
No agent reaches production without an eval suite, an owner on your side, and a metric that decides whether it stays. The eval suite is part of every deliverable, not an afterthought.
Every engagement is led by senior engineers and strategists. No rotating juniors, no learn-on-your-project, no offshored second team you didn't agree to.
Autonomy is a permission an agent earns by passing evals over time. Until then, a human signs off on the actions that matter. Trust is built incrementally.
An AI-native firm should not look like a legacy consultancy with an 'AI practice' bolted on. We deliver with senior teams a fraction the size of traditional consultancies, and we pass that efficiency through to fixed-fee, value-based pricing. No body-shopping. No ramp-up tax. No four-person meetings where one person could have answered the email.
A method you can plan around. Four phases, each with fixed deliverables and a clear exit. You can stop after any of them — and you keep what we built.
5–10 business days · fixed fee
We map your processes, data, systems and people. You receive a written assessment with ranked opportunities, a risk register, and a realistic budget envelope — yours to keep regardless of next steps.
2–4 weeks
Solution architecture for the chosen use cases: model selection, retrieval design, tool surface, evaluation strategy, integration plan, rollout sequence, change enablement.
4–16 weeks
Two-week sprints with a champion on your side. Real users in week one. Honest status, clean change log, source committed to your repo. Go-live is a milestone, not a finale.
Ongoing · monthly retainer
AI systems drift. Models change. Data changes. Your business changes. We monitor production behaviour, run regression evals on each model upgrade, tune costs, and own the AI roadmap with you.
We'd rather lose the deal than ship something that quietly damages your business six months from now.
If a SQL query, a script or a redesigned form solves the problem, we'll say so. We won't dress up the obvious in a model wrapper to inflate scope.
If a use case can't pass an eval suite that you trust, it doesn't go live. Confident-sounding wrong answers to people making decisions is the worst thing AI can do to a business.
You get the source, the prompts, the eval suite, the dashboards and the runbook. If we walked away tomorrow, your team could keep operating it.
Every project we take on must have an owner inside your organization and a metric on the line. No theater pilots that everyone praises and quietly forgets.
Pick a use case you're stuck on. We'll spend 30 minutes pulling at it, honestly.
