AI integration
Plug LLMs into the parts of your business that actually need them.
Most AI projects fail because they start with the model and end at the demo. We start with the workflow and end with a system in production: quietly summarising, classifying, drafting, and retrieving every day.
OpenAI, Anthropic, and open-weight models embedded into the places where they earn their keep: inbox triage, document summarisation, knowledge retrieval, support routing, and content drafting.
- Teams drowning in unread email or unsorted documents
- Support teams needing first-touch automation that doesn't infuriate customers
- Sales teams that want every call summarised and CRM-logged
- Anyone with a paid ChatGPT seat being copy-pasted into all day
Use-case scoping
We run a workshop and produce a ranked shortlist of AI integrations with effort, cost, and ROI estimates.
Production prompts
Versioned, tested prompt libraries with eval suites. Not a clever chatbot, a reliable component.
Provider-agnostic plumbing
Built so you can swap GPT for Claude (or a future cheaper model) without rewriting the system.
Cost & quality monitoring
Live dashboards on token spend, latency, and output quality. You'll never get a surprise bill.
Four phases. One promise: the receipts arrive.
A repeatable engagement model honed across 20+ SMB rollouts. Same shape every time, customised to your data.
Architect
We map your operation, score the high-leverage opportunities, and write the success metrics before we touch any code.
Engineer
Workflows, voice agents, and apps built against the spec. Iterative reviews, weekly demos, no surprises at the end.
Deploy
We embed with your team. Train the people, transfer the docs, and run side-by-side until the system flies on its own.
Iterate
Monthly health check, performance dashboard, and a backlog we tune together. Locate stays as long as it is paying back.
Often paired with
Ready to see what a system feels like?
Book a 30-minute strategy call. No deck, no pitch. Just a conversation about where the time is going and what we would do first.