AI integration for products that already have users
Adding AI to an existing product without destabilising it — model selection, evaluation, cost control and a path to production.
Adding AI to a product that already has customers is a different job from building one from scratch. The constraint is everything you cannot break. We work inside your existing stack, pick models against your actual task rather than a benchmark, and put evaluation in place so you can tell whether a change made things better.
What's included
- Model selection and prompt design evaluated against your real data
- Integration into your existing codebase and deployment pipeline
- Cost and latency control, including routing between models
- Evaluation so quality changes are measurable rather than anecdotal
How the work runs
Assessment
What the AI should actually do, what good looks like, and whether the task needs a model at all.
Integration
Building it into your product, behind a flag where that reduces risk.
Measurement
Evaluation and monitoring so you can see quality, cost and latency after launch.
Across the six projects on this site where we tracked phases, discovery to launch ran 8 to 12 weeks.
Projects we have shipped
Mavera – From MVP to Enterprise Platform Used by Morningstar, PitchBook & S&P Global
We took Mavera's AI market-intelligence platform from an early MVP to a production product on web, iOS and desktop, now used by teams at Morningstar, PitchBook and S&P Global.
Consumer AI / MobileKaren – AI Companion App Rated 5.0★ on Google Play
We built Karen, an AI companion that remembers every conversation and talks back in a natural voice. It holds a perfect 5.0★ rating on Google Play and speaks 8 languages.
EdTech / AviationXAir – AI Tutor Covering 100% of the UK Pilot Theory Syllabus
XAir replaces rote question banks with an AI tutor that teaches, tests and tells student pilots exactly when they're ready for each of the nine UK CAA PPL theory exams.
AI SaaSAIWrappers – No-Code AI App Builder, Launched to Paying Customers
AIWrappers lets anyone build, brand and sell their own AI apps without code. We built the product, from the AI Creator to billing, and it launched commercially to paying customers.
Common questions
Can you work in our existing codebase?
Yes, and often as part of your team rather than alongside it. For XAir we worked as part of the client's team across 15 months of continuous delivery on web, mobile, admin and backend.
What kinds of AI features have you shipped?
Audience personas, simulated surveys and focus groups, and video analysis for Mavera; long-term conversational memory across 8 languages for Karen; and knowledge-decay tracking for XAir, which re-tests weak topics before student pilots forget them.
How do you keep AI costs under control?
By routing work to the cheapest model that passes evaluation for that task, and by moving anything long-running out of the request path. Both are decisions we make with you rather than defaults we impose.
Talk to us about your project
Tell us what you are building and roughly when you need it. We reply within one business day.