Service 02 · 4–6 weeks to production
Custom AI Software Development
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.”
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
What sits inside this practice.
Named individually, so you can scope, budget and buy them separately if that is what your situation calls for.
LLM application development
TypeScript and Python services on Claude, GPT, Gemini or open-weight models you host, built to your architecture rather than to a vendor’s.
RAG and knowledge systems
Hybrid retrieval across your documents and databases, citation enforcement, refusal design, and re-indexing that keeps up with the source of truth.
Agentic workflow automation
Multi-step work that plans, calls your systems, retries sensibly, and stops for a person wherever being wrong is expensive.
Document and data extraction
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.
AI features inside your product
Shipped behind your API, in your repository, through your release process. We work to your definition of done, not ours.
Evaluation, observability and cost control
Eval harnesses, regression gates in CI, tracing, per-tenant cost ceilings, and model migration handled when providers deprecate versions.
What lands
Fixed scope, agreed up front.
Timeline
4–6 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.
- Working software in your repository, not a prototype in ours
- An eval suite and an accuracy baseline you can hold us to
- Guardrails, approval gates and audit logging sized to the risk
- Cost telemetry against a ceiling agreed before launch
- Architecture documentation and a handover your engineers can pick up
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
AI Agent Development
WhatsApp, voice and web agents that answer, qualify and route every enquiry in seconds.
03Digital Platform Engineering
Websites, commerce, portals and web applications engineered for speed, conversion and AI discoverability.
04AI Consulting & Enablement
Where AI pays in your business — costed, sequenced, governed, and taught to your team.
Not sure this is the one you need?
That is what the free diagnostic is for. We look at how your business actually runs and tell you which of the six would move your numbers — and which we would leave alone.