AI Integration
Bringing AI into the tools you already pay for, without a migration project and without handing your data to somebody else's training set.
- SourceYour applications
- RoutingAI gateway
- ClaudeFrontier model
- OllamaPrivate model
- ObservabilityLogged and costed
One gateway sits between your apps and the models, handling routing, cost caps, logging and fallbacks.
You do not need a new stack
The pitch for most AI products is that you move your work into their interface. For established teams that is usually the wrong trade. The value is in the tools people already live in, with the data already in them.
We integrate at the edges instead. Your CRM, your helpdesk, your CMS, your warehouse. The AI shows up inside the workflow rather than asking anyone to adopt another tab.
One gateway, not fifteen API keys
Teams that adopt AI piecemeal end up with keys scattered across projects, no view of spend, and no way to switch provider without touching every integration.
A thin gateway solves all three. Routing by task, hard cost caps, structured logging of every call, and fallbacks when a provider has an incident. Swapping the underlying model becomes a configuration change.
Where your data goes
We use enterprise API tiers with no training on your content, and we document retention explicitly before anything goes live. Where compliance requires it, we deploy inside your own cloud account or on-premise.
You should be able to answer the question your security team will ask, in writing, on day one. We write that document as part of the work.