AI Integration for Existing Products
For product companies with a working stack and no appetite to rebuild it — you want AI added cleanly by someone who ships to production.
You have a product and a stack that works. You don't need it rebuilt — you need AI added to it cleanly: a copilot, retrieval over your own documents, an agent that takes real actions. The hard part isn't calling an API; it's making it reliable, safe, and cheap enough to run at scale.
What you get
Retrieval over your data (RAG)
The model answers from your documents, tickets, or knowledge base — accurately, with citations, and without hallucinating your business away.
Agents & tool-use
AI that does things in your systems — with the tool definitions, permissions, and approval gates to keep it safe.
Cost & reliability control
Caching, fallbacks, rate limits, and evaluation so quality holds and the bill doesn't surprise you.
Price
Feature build
A feature added to an existing application.
scope cap · 1 feature, defined acceptance criteria
System integration
Two systems that don’t talk, made to.
scope cap · 2 systems, 1 direction
Document & form generation
Templated output produced from live data.
scope cap · 1 template family
Work beyond a scope cap is a separate line item at its published price, agreed before it starts — that is what keeps a fixed price fixed. No hourly billing. See every line item →
How I work
Integration means fitting your existing stack, not replacing it. The work slots into your codebase and ships behind the reliability and monitoring a production feature needs.
FAQ
Which AI providers do you work with?
Anthropic (Claude), OpenAI, and open models — chosen to fit your latency, cost, privacy, and quality needs, and swappable so you're not locked in.
Can the AI answer from our own data?
Yes — a retrieval pipeline grounds the model in your documents so answers are accurate and traceable rather than made up.
Will this fit our existing codebase?
Yes. Integration is designed around your current stack and shipped as maintainable code your team can own.