AI governance & safety services.
AI your auditors can sign off.
Policies, controls, testing and monitoring so AI is safe, compliant and explainable.
The problems we solve first.
Regulation
AI rules are arriving in every market.
Shadow AI
Teams use AI tools nobody approved.
Risk
Bias, leaks and errors can reach customers.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
AI policy
Clear rules for teams and vendors.
Model inventory
Every AI system listed and owned.
Risk assessment
Bias, privacy and safety reviews.
Red-teaming
Attacks and failure tests.
Monitoring
Live quality and safety checks.
Compliance mapping
EU AI Act, ISO 42001, DPDP.
AI governance & safety, by industry.
How we ship AI that holds up.
Evaluation comes before scale. You see it working on your data before you commit to the full build.
Discover
Pick the task, define what “good” means and collect sample data.
Prototype
A working version on your real data, shown to real users.
Evaluate
Automated tests for accuracy, latency, cost and safety.
Productionise
Security, scaling, integrations and admin controls.
Monitor
Quality, drift and spend tracked; prompts and models improved.
Three ways to start.
AI sprint
One use case, prototyped on your data and tested with users.
You leave with · Prototype + go/no-goPilot
A production-grade version for one team, with evals and monitoring.
You leave with · Live pilot + ROI dataAI team
A dedicated squad that ships and improves AI across your products.
You leave with · Roadmap deliveredQuestions, answered.
Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.
Ready to try ai governance & safety? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.