See governance in action
Pick a question below and watch a governed public agent work over an energy-renovation knowledge base. You’ll see all three parts of an agent you can trust: it stays controllable — answering only from curated sources and refusing what should stay internal; explainable — citing the exact sources behind every answer; and accountable — handing off to a human when it matters, so each hand-off becomes tomorrow’s good answer. This is a scripted walkthrough; click a suggested question to begin.
Choose one of the suggested questions below. The agent answers only from the curated knowledge base, cites its sources, withholds anything internal-only — and hands off to a human when it shouldn’t answer.
This is a scripted demo. Pick one of the suggested questions below to send it.
What you’re watching
- ControllableA governed projection decides what a customer can ever see — internal facts stay internal, even when the public answer is allowed.
- ExplainableEvery answer comes with cited sources from the curated knowledge base — you can see exactly why it said what it said.
- AccountableWhen it shouldn’t answer, it hands off to a human — and the reply becomes new knowledge through the correction loop.
Try the boundary questions
Ask about pricing and margins: a normal chatbot might guess or leak. This one withholds the internal-only part, still answers the public part with sources, then for the rejected-application case it refuses to guess and hands off. That’s the governance boundary doing its job.
Run this on your own knowledge
A consultant installs it in an afternoon. Your data never leaves the building.
Book a demoIllustrative demo with a sample corpus and scripted replies. In production the agent runs on your own knowledge base, on-premises or in an EU region, installed and run by your consultant — and your knowledge never leaves the building.