Retrieval search
Ask a question across your own documents, get a cited answer. Good for policy, product, case-law and internal wikis.
Service
AI that does real work, not demo theatre.
Chatbots, retrieval search, summarisation, and automations built on OpenAI, Anthropic and open-source models, plumbed into your own data. Every system ships with guardrails, logging, and a clear path back to a human when the model is out of its depth.
Typical projects
Where AI actually earns its keep.
Support chatbots
First-line support that knows your FAQs cold, hands off to a human with a full transcript when needed.
Categorisation & enrichment
Tidy messy leads, classify inbound emails, enrich records with data the API can reasonably fetch.
Drafting & summaries
Email drafts, meeting notes, monthly reports, all reviewed by a human before they go out.
How we build it.
We treat every AI system like a product, not a magic trick. That means measurable goals, sensible guardrails, logging, evaluations, and a fallback path so the user is never stuck talking to a bot that cannot help.
- Grounded in your data. Retrieval-augmented generation with your documents as the source of truth.
- Guardrails baked in. Off-topic requests get declined, not hallucinated into fiction.
- Logging and evals. Every conversation is reviewable and the system is tested on real examples.
- Human fallback. When the bot is out of its depth, the user hands off to a real person cleanly.
- Data handling you can explain. We will tell you what the model sees, what it does not, and where it sits.
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