Understand. The agent reads emails, forms and documents and recognises what they are about: company, quantity, deadline, request.
AI agents that take work off your desk.
An AI agent reads what comes into your company, understands it and carries out the next steps in your tools. For anything sensitive, your team still decides.
AI agent: sales inbox
Active- Email read09:41:02Quote for 40 workstations
- Classified09:41:03Sales inquiry, high priority
- Data enriched09:41:05Company found in the CRM, 2 earlier quotes
- Reply drafted09:41:08Proposed a call on Thursday
- Awaiting approval09:41:08With Lisa Maier, Sales
Completed in 6 seconds
What an AI agent actually does.
An AI agent is a program that uses AI to understand text and then carries out steps in your tools on its own. This happens in 3 stages.
Decide. Based on your rules it determines how urgent something is and who is responsible.
Act. It creates contacts, proposes meetings, notifies your team and prepares replies.
AI as the hub between your tools.
Right now your tools do not talk to each other. An AI agent reads what comes in, decides what needs to happen and passes it on to the right place. Pick an event and see what happens.
Incoming
“Could you send us a quote for 40 workstations by Friday?”
Decision by the AI agent
- Identified as
- Sales inquiry
- Priority
- High
- Action
- Contact created, meeting proposed
Live view
Customer inquiry by email
You stay in control.
AI makes mistakes, just like people. That is why we build agents so that your team has the final say on everything that matters.
Approval for sensitive steps
You define what the agent may do on its own and where someone on your team has to sign off.
Every step logged
You can see at any time what the agent read, decided and did, and why.
Clear boundaries
The agent only works with the tools and data you grant it access to.
Rules for the agent
Sales inbox
Send emails to customers
Approval required
Post amounts above €500
Approval required
Create contacts in the CRM
Automatic
Internal messages in Slack
Automatic
Where AI helps and where it does not.
Not every task belongs in the hands of an AI. We draw that line clearly from the start.
A good fit
- Understanding text and classifying it by topic
- Extracting data from invoices and forms
- Preparing replies and summaries
- Bringing together information from several tools
Only with a human in the loop
- Legally binding commitments and contracts
- Payments and bookings without review
- Decisions about people, for example in recruiting
- Cases where a mistake would be expensive or dangerous
What AI changes in everyday work.
No promises of our own, just results from independent research.
60-70%1
+15%2
-40%3
- 1McKinsey Global Institute (2023): The economic potential of generative AI. The next productivity frontier. McKinsey & Company.
- 2Brynjolfsson, E., Li, D., Raymond, L. (2025): Generative AI at Work. The Quarterly Journal of Economics, 140(2).
- 3Noy, S., Zhang, W. (2023): Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654).
Questions about AI agents.
Your question is not here? Write to us, we usually reply the same day.
Which process costs you the most time today?
Tell us in 30 minutes. Afterwards you will know whether and how it can be automated.