Built with
Every project includes
- Weekly demos in staging
- Documented rollback plan
- Docs and handover
- Support after launch
How we approach it
We build test sets from your real questions and expected answers, run them on every change, and track accuracy, cost and speed over time. When something slips, you see which change caused it.
In production we add tracing so every answer can be traced back to the sources and steps behind it, plus alerts for the failures that matter: wrong answers, rising costs and slow responses.
What we build
AI Testing & Monitoring, end to end.
Test sets for AI answers
Golden questions and expected answers drawn from real usage, scored automatically on every release.
Regression checks
Prompt, model and data changes tested against the last good version before they reach users.
Tracing
A full record of each answer: what was retrieved, which tools ran and why the model responded the way it did.
Cost and speed tracking
Spend and latency per request, per feature and per customer, with limits that stop runaway bills.
Quality dashboards
Accuracy, hand-off rate and user feedback in one view your team actually checks.
Audit of existing AI
A review of an AI feature you already run, with the gaps ranked and a plan to close them.
How it runs
From first call to production.
- 1
Discovery call
The problem, the people affected and what success looks like, in your words.
- 2
Written plan
Scope, success metrics and what you will see each week, agreed before any code.
- 3
Weekly builds
Working software in staging every week, not a reveal at the end.
- 4
Staged launch
Released in steps, with monitoring and a documented way back.
- 5
Handover or support
Docs, access and training, or we stay on to run and improve it.
Case studies
Work we've shipped
Managed Hosting / Web Operations
From "the site is down" to "here's why": automated root-cause explanations across an 80+ site portfolio
- 80+
- Sites monitored
- 5 min
- Check interval
Logistics & Fleet
Cut fleet accident rates by 45% with real-time AI safety monitoring
- -45%
- Accident rate
- -30%
- Insurance costs
Where it fits
Industries we build this for
SaaS & Platforms
AI workflow platforms and the infrastructure under them.
FinTech
Consumer finance apps and payment flows people trust.
Healthcare
Patient platforms and clinical workflow tools, built with privacy first.
Legal
Client intake, document review and matter updates, with confidentiality built in.
No. Most of our testing work is on live systems. We start by sampling real conversations to build the first test set, then add monitoring without changing how the feature behaves.
A mix of exact checks, comparison against approved answers and reviewed samples. We agree what 'right' means for your use case before scoring anything.
No. Tracing runs alongside requests and adds negligible delay. Heavier scoring runs separately, on samples.
Yes. We review what is there, add tests and tracing, and hand the setup to your team so it keeps running.
Related services
More in AI
AI Agents
Agents that take actions in your systems, inside guardrails, with a person in the loop where it matters.
Generative AI & LLM Apps
Copilots, assistants and document tools that answer from your own data, not the open internet.
AI Integration
AI added to the software you already run: CRM, helpdesk, ERP and internal tools.