Customer-facing AI grounded in your actual services, availability, and policies. Helpful on its best day, safe on its worst.
We run a production AI assistant on our flagship platform. The lessons: ground it in your real data, cap what it can promise, and give it fallbacks for bad days.
An assistant is only as good as its grounding. We build the knowledge layer first, the chat second.
The assistant that won't invent prices or promises is the one you can put in front of customers.
Providers fail. Ours retries, falls back, and degrades gracefully instead of leaving customers on read.
That's the assistant's first job. Let's train it.