AI Platform (BETA)
Automate internal processes with AI agents - set up, monitor and evaluate in one place.
One platform for every agent working in your organisation.
Orchestration
Create agents, connect them to your systems and assign tasks - from a single check to a multi-step chain. Triggered on a schedule, by an event or by a request in the chat.
Overview
Who is running, who is waiting, who has flagged something? The dashboard shows every run with its status, history and result. You can step in at any time.
Analytics
Usage, run times, cost and error rates per agent - so you can see where automation delivers and where it needs adjusting.
Documents & reports
An agent reads templates from SharePoint, fills them with data from your systems and files the finished report - the quarterly report, for instance, built the same way every time.
Inbox & requests
Incoming mail is checked, categorised and linked to the matching case. Whatever needs a follow-up lands with the right person.
Reconciliation between systems
Data from accounting, CRM and line-of-business applications is checked against each other on a regular basis. Discrepancies are reported before they become a problem.
An agent is configured, not programmed.
Model & behaviour
You pick the language model and define how the agent responds - tone, format, context window. Open models such as Qwen run in Switzerland.
Connections & permissions
Every connection - SharePoint or Abacus, say - is enabled individually, with read and write permissions per area. No more than the task requires.
Rules & tests
Retries, time limits and stop conditions are settings, not lines of code. Test cases check before go-live that the agent does what it should.
All agents and their runs in one place.
Runs & status
Every run shows up with its type, agent and status - resolved, stable, completed. Whatever is stuck, you see at once.
Requests in the chat
Tasks can also be given directly: you write what needs doing and pick the model. The right agent takes over.
Log & usage
Logs and reports show per agent what it did, how long it took and what it cost.
Operated in Switzerland
Models, data and logs stay on Swiss infrastructure. Your data is not used to train models.
Traceable
Every step an agent takes is logged. You see which data it read, which decision it made and what it triggered.
Introduce step by step
You start with one process and one agent. What works gets extended - at your pace, with our support.
Interested in the beta?
We keep adding organisations to the beta. Get in touch and we will work out together which process makes a good starting point.