„We paste the data in by hand.“
Before you can ask, you first have to feed it material from another system.
The assistant sees only the data you allow and may only do what you set. Every access is recorded and a sensitive change can go to a person first.
You already use AI, but it cannot reach anything of yours.
Before you can ask, you first have to feed it material from another system.
The assistant cannot see the current state in the CRM or the project tool.
Nobody can say what it would then see and what it could change.
There is no record of what it touched and what the answer was based on.
The assistant reads permitted data from databases, the CRM, project tools and documents. The answer follows today's state, not what somebody pasted in.
Within the permissions you set it drafts a report, updates a record or opens a task. A sensitive change goes for approval first.
Calculations and database queries run in a proper tool. The model only picks the right one and works with the result.
Only named sources and actions are exposed. The scope narrows by user, by role and by type of request.
Three examples from ordinary work.
Quarterly sales, the current state of an account, material for the follow-up meeting. Without waiting for whoever knows how to build the report.
Leave overview, onboarding material for a new colleague, the state of active projects before a meeting.
The state of servers and services, last week's logs, a check before a release.
What the assistant should see, what it may do and what has to be approved.
Permissions by role, limits on sensitive actions and the way it is checked.
Ordinary inputs, bad inputs, and attempts to reach further than allowed.
We show the team how to manage access, how to read the records and how to take access away.
What changes once the assistant can see into your systems.
We wrote a guide to the MCP protocol, its parts and its use in company systems.
Tell us the data, the tools and the actions it should use. We will design a safe scope of access.
Talk about your problem