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Service 02 · 2–4 weeks to production
LLM applications, agentic workflows and AI features engineered into your own product.
The problem it solves
“We know what we need built. Nobody we have spoken to can actually build it.”
What it costs
A roadmap that slips because the capability to deliver it does not exist in the building — and a shortlist of vendors who all demo well, none of whom have kept one running.
Why it persists
Most AI on offer is a thin wrapper around somebody else’s tool, demonstrated on a happy path and unowned the moment it meets real data. Production AI is a different discipline: retrieval that stays correct as the source changes, evaluations that catch regressions before users do, guardrails sized to the risk, cost control, and an upgrade path for the day the model underneath you is deprecated.
Capabilities
Named individually, so you can scope, budget and buy them separately if that is what your situation calls for.
TypeScript and Python services on Claude, GPT, Gemini or open-weight models you host, built to your architecture rather than to a vendor’s.
Hybrid retrieval across your documents and databases, citation enforcement, refusal design, and re-indexing that keeps up with the source of truth.
Multi-step work that plans, calls your systems, retries sensibly, and stops for a person wherever being wrong is expensive.
Messy real-world documents into validated structured data, pushed into your ERP or CRM, with an accuracy baseline and an exception path for the rest.
Shipped behind your API, in your repository, through your release process. We work to your definition of done, not ours.
Eval harnesses, regression gates in CI, tracing, per-tenant cost ceilings, and model migration handled when providers deprecate versions.
What lands
Timeline
2–4 weeks to production
Who signs off
CTO · VP Engineering · Head of Product
Best for
Teams with a defined problem, real data, and an engineering standard we have to meet.
What changes
AI that survives real users, real data, and the day the model underneath it changes.
The number that moves
Accuracy against threshold · cost per transaction · latency · regression rate
We baseline this before we start, so there is something to judge us against later. If it does not move, that is a conversation we will start rather than avoid.
The other services
WhatsApp, voice and web agents that answer, qualify and route every enquiry in seconds.
03Websites, commerce, portals and web applications engineered for speed, conversion and AI discoverability.
04Where AI pays in your business — costed, sequenced, governed, and taught to your team.
That is what the free diagnostic is for. We look at how your business actually runs and tell you which of the five would move your numbers — and which we would leave alone.