AI solutions · 01
AI that actually does the work for your team.
We treat AI like a financial system: we measure whether it answers well, watch what it costs, and make it more accurate every day.
WHAT WE SOLVE
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What we solve
- 01The AI makes things up, and you can't tell how often
- 02It costs a lot because nothing is optimised
- 03Nobody dares ship it — there's no way to measure quality
- 04Your support team is drowning in tickets
What we ship
- AI that answers from your own data — with sources
- Cheaper to run, picks the best model automatically
- Quality checks run automatically on every change
- Dashboard: what gets asked, what it costs, how good it is
WHAT YOU GET
[2/8]
AI assistant trained on your company's own data
Automate customer support and sales
Make your documents and knowledge searchable
Run AI on your own server — your data stays yours
HOW WE WORK ON THIS
[3/8]
How we work on this
The same risk-reducing rhythm on every project — each step has a measurable deliverable.
Data + workflow audit
We go through your data and the support / sales / ops workflows, and pinpoint where AI can actually save time.
Retrieval MVP
End of week 1: a RAG pipeline prototype against your data, with source citations. We evaluate, not just demo.
Agent + guardrails
Tool use, routing, rate limits, PII scrubber. Production evals in CI before every release.
Live + tuning
Deploy, observability (LLM cost, latency, quality), weekly iteration driven by the dashboard.
TECH STACK WE USE
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Tech stack we use
If your stack is different — say so. This isn't dogma, it's tooling.
COMMON QUESTIONS
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Common questions
What most people ask — answered before you have to.