AI Integration & Custom Builds
RAG, copilots, and the wiring that makes AI useful in your business.
An agent that cannot read your knowledge base is a chatbot. An agent that cannot write back to your CRM is a demo. AI integration is the unglamorous wiring that turns a good prototype into something your sales team uses on a Tuesday.
The kinds of integration we build
- RAG over your real corpus — internal docs, ticket history, product docs, contracts. Citations the user can click. Eval suites you can extend.
- Copilots inside your tools — Slack assistants, IDE plugins, browser extensions, in-app helpers. The model goes to your team, not the other way around.
- Model-routed pipelines — small, cheap, fast model for the easy 80%; bigger model only when needed; deterministic rules for anything regulated.
- Hand-offs to humans — clean escalation paths, with the context the human actually needs at the top of the message.
- System-of-record writes — into your CRM, ticketing, ERP, billing, with audit trails and one-click reversals.
How we keep it safe
Every write path gets shadow mode before it gets the live keys. Every prompt goes through an eval set before it goes into a feature. Every model call gets traced from the first commit so when something looks weird in three months, you can replay it.
Typical engagement
Six to twelve weeks. Often runs alongside an Agents build or starts after a Readiness Assessment surfaced the integration as the highest-payback move.