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Operations Suite

AI Bots

Agents that work inside the processes rather than beside them — answering from your knowledge, drafting from your data, and acting only where you allow it.

Grounded in your own data Scoped by the same permissions Actions you approve
Explore Operations Suite
1

Answers from your company

Bots read your wiki, tickets and records — so the answer is yours, with a link to the source, not a plausible invention.

2

They respect permissions

An agent sees exactly what the person asking is allowed to see. Nothing leaks through a chat interface.

3

They do work, not just talk

Create a ticket, update a record, draft a reply, start a route — as actions you configure and can require approval for.

4

Every action is on the record

What an agent did, when and on whose behalf is written to the audit log like any other action.

What AI Bots does

Where they work

In chat, in the service desk, on the customer portal and inside documents — the same agent, different surface.

Internal chatService DeskCustomer-facingIn documents

What they know

Grounded in the wiki, past tickets and platform records, with citations back to the source and a clear answer when it does not know.

Grounded answersCitationsSays when unsure

What they may do

A permission model per agent: which data it reads, which actions it may take, and which of those need a human to approve.

Per-agent permissionsApproval-gated actionsAudit logHandover to a human

What stops being needed

A chatbot bolted onto the websiteCopy-pasting context into a separate AI toolThe first tier of manual support

Part of one system

Agents run on the same data model and the same permissions as people. That is the whole point: an agent is a participant in your processes, not an integration pointed at them.

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