AI product features
Build assistants, search, summarisation and document tools into the product’s real user journey.
AI for Software & technology
Ship AI your users can actually use.
Add AI capabilities to existing products and strengthen the engineering behind them. We work with product teams, internal engineers and AI vendors on features, customer integrations and deployment.
Talk about your operationThe working context
Build around
the real process.
A promising model capability still needs user context, permissions, a reliable backend and a release process. Product teams need to connect that capability to a useful experience and a sustainable operating cost.
Practical applications
Where AI can help.
Customer implementation
Help AI vendors integrate their product with a customer’s data, identity, tools and operating processes.
Engineering adoption
Introduce AI-assisted development with repository context, testing, code review and measured delivery practices.
Control & judgement
Keep the right
people in the loop.
Design tenancy and access boundaries, evaluate with representative tasks and handle provider failures. Make costs and model changes part of the product’s operating plan.
Measure the work
Useful outcomes.
Clear evidence.
Track task completion, feature adoption, output quality and cost per useful outcome alongside software reliability.
A sensible starting point
Choose one user task or customer integration and define the acceptance criteria with the people who will use it.
Discuss your first scopeA useful next step
Bring us the work
that should work better.
One process, one product idea, or a question about where to start.