AI reaches your systems, on a defined path and on the record.

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.

Does this sound familiar?

You already use AI, but it cannot reach anything of yours.

„We paste the data in by hand.“

Before you can ask, you first have to feed it material from another system.

„It answers from yesterday.“

The assistant cannot see the current state in the CRM or the project tool.

„We are afraid to give it access.“

Nobody can say what it would then see and what it could change.

„We don't know what it did with the data.“

There is no record of what it touched and what the answer was based on.

What it makes possible

Answers from current data

The assistant reads permitted data from databases, the CRM, project tools and documents. The answer follows today's state, not what somebody pasted in.

Actions, not just suggestions

Within the permissions you set it drafts a report, updates a record or opens a task. A sensitive change goes for approval first.

Exact tools where a model is not enough

Calculations and database queries run in a proper tool. The model only picks the right one and works with the result.

Access under control

Only named sources and actions are exposed. The scope narrows by user, by role and by type of request.

What people do with it

Three examples from ordinary work.

Sales

Quarterly sales, the current state of an account, material for the follow-up meeting. Without waiting for whoever knows how to build the report.

Operations and admin

Leave overview, onboarding material for a new colleague, the state of active projects before a meeting.

IT and engineering

The state of servers and services, last week's logs, a check before a release.

How we go about it

  1. We map the systems and the actions

    What the assistant should see, what it may do and what has to be approved.

  2. We design the scope of access

    Permissions by role, limits on sensitive actions and the way it is checked.

  3. We build it and try to break it

    Ordinary inputs, bad inputs, and attempts to reach further than allowed.

  4. We deploy and hand over

    We show the team how to manage access, how to read the records and how to take access away.

What you get

What changes once the assistant can see into your systems.

Once it runs

  • Answers from current data, not from pasted material
  • Access defined by user and by role
  • Sensitive changes through approval
  • A record of every access and action
  • The ability to narrow or remove access at any time

Want to understand how it works inside?

We wrote a guide to the MCP protocol, its parts and its use in company systems.

Want an assistant that can see into your 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