Add AI to the product you already have
We integrate AI capabilities into existing products — without a rewrite, without disrupting your roadmap, and with your team learning alongside us.
What you get
AI opportunity audit
A ranked map of where AI creates real value in your product — and honest flags on where it wouldn't.
Integration architecture
How AI slots into your existing stack: data flows, API boundaries, fallback behavior, and cost projections.
Shipped features
AI features built inside your codebase and release process, behind flags, with evals gating rollout.
Team enablement
Pairing sessions, prompt/eval playbooks, and documentation so your team owns the AI layer after we leave.
How it works
Audit
Product walkthrough and codebase review → ranked AI opportunity map.
Pilot
One high-value feature shipped end-to-end to prove the integration pattern.
Expand
Roll the pattern across the roadmap with your team increasingly in the driver's seat.
Handover
Playbooks, evals, and monitoring owned by your team.
Tools we reach for
Questions founders actually ask
Will this disrupt our existing roadmap?
No — that's the point of the pilot-first approach. We ship one feature inside your normal release process to prove the pattern, then scale it at whatever pace your roadmap allows.
Our codebase is old. Is that a problem?
Rarely. AI features mostly integrate at API boundaries. We've added LLM capabilities to products running on decade-old stacks — the data layer matters far more than the framework version.
Can our engineers build the later features themselves?
Yes, and they should. Team enablement is an explicit deliverable: pairing, playbooks, and review until your team is self-sufficient.
Ready to ship your AI product? Let's scope it together.
Book a free scoping call. You'll leave with a concrete plan, a realistic budget, and a working-prototype offer — whether you build with us or not.