AI copilots services.
An expert beside every user.
In-product copilots that help users write, analyse, decide and act faster.
The problems we solve first.
Context
A copilot is only useful if it knows the user’s data.
Interruption
Help must appear at the right moment.
Measuring value
Usage is not the same as time saved.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
Copilot UX
Side panels, inline suggestions and commands.
Context engine
User, account and document context.
Actions
Copilot can fill forms and run tasks.
Personalisation
Learns preferences over time.
Analytics
Time saved and adoption per feature.
Admin controls
What the copilot can see and do.
AI copilots, 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 copilots? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.