The core
AI agents grounded in your own business context
An agent is the brain with a mouth: it answers questions and carries out steps, based on your policy, your history and your tone. Not as a separate app, but inside the tools your team already works in.
What an agent means here
Almost everything gets called an agent now. We use a narrower definition: an agent connected to the Company Brain, allowed to take steps in sequence, and able to look something up at each step instead of guessing.
Nothing new gets built per customer. The same agent is configured against your context. That is the difference between configuring and programming, and it is why a second use case moves faster than the first.
What it does on its own, and what it does not
Looking things up, summarising, calculating, drafting and queueing a step in a workflow: it does those itself. Sending something out it does not, unless you have switched that on for a specific case.
The boundary is deliberately dull. An agent allowed to do everything has to be watched permanently; an agent that produces drafts gets checked once per draft.
Where you meet it
In a chat window on your own site, in your team's tools, and from an AI assistant on your laptop through an open connector standard (MCP). Same agent, same knowledge, different place.
- A window on your own site, for visitors or only for signed-in users
- Your working environment, so a question is answered where it is asked
- The AI assistants your team already uses, through the open MCP standard
How you check that an answer is right
Every answer arrives with its source: which document, which line of the catalogue, which earlier conversation. Checking becomes reading rather than researching it again.
And when the answer is not there, the agent should say so instead of producing something plausible. That is a setting you switch on and then test, not something that happens by itself: it is exactly the behaviour a general model gets wrong.
Why an agent on your own context answers better
Because most questions inside a business already have an answer. It sits in an earlier conversation, in a procedure, in the catalogue or in a report. A general model cannot find that answer and invents something that resembles it. An agent on your own brain looks it up and shows you where it found it.
Start with the question that keeps coming back
The Brain Scan identifies which process costs the most time, and whether an agent is the right answer to it.