AI Integration
Connect AI to your existing tools, workflows, and data. From LLM APIs to production-ready features your team can actually maintain.
- ▸Integration design doc
- ▸Working implementation
- ▸Test suite
- ▸Handover & runbooks
Connect AI to your existing tools, workflows, and data. From LLM APIs to production-ready features your team can actually maintain.
Replace repetitive manual processes with AI-powered workflows. Document processing, data extraction, content pipelines, intelligent routing.
The infrastructure behind AI products — APIs, data pipelines, vector stores, and LLM orchestration. Built for scale, observable, and handover-ready.
Go, Python, or Node.js. REST or gRPC. Built for scale, tested, documented, and handover-ready.
Deep, honest review of an existing system. Prioritised findings, risk register, and a sequenced plan you can actually execute.
Embedded with your team 2–3 days/week. Code, design reviews, mentoring, hiring support. Senior presence without the headcount.
You share the problem. I ask the questions that matter. No forms, no discovery calls that go nowhere — just a direct conversation about what you're building and what's in the way.
I define the deliverables, timeline, and cost. Fixed scope where possible. No surprises.
Iterative delivery with async updates. You see progress weekly. I flag blockers early, not at the deadline.
Every engagement ends with documentation, runbooks, and a knowledge transfer. Your team owns it when I leave.
The interesting work usually doesn’t fit a template. If it’s hard and important, I want to hear about it.