AI agents for the processes that cost you hours today

Orders, quotes, customers, administration, email, reports. They are the most common examples, not a catalogue: every agent comes from your company's process.

An order arrives by email. Two minutes later it is in the ERP, and a person only looks at the line that does not add up.

Illustration with sample data

Your process is not on this list?

That is the most common case. In the first call you tell us how you work today: we tell you whether an agent makes sense, where we would start and what you need to begin. Even when the answer is no.

Every agent follows the same method.

Understand the process, build it on site with people, train those who use it, measure the results.

  1. 1

    Understand

    We start from how you really work. We meet management, listen to people and rank the processes where AI pays off most, with the expected return of each.

  2. 2

    Build on site

    A person from our team works with your staff and builds the agents next to those who will use them. If a process is not ready, we tell you before writing any code.

  3. 3

    Train and set rules

    Training for every level, usage rules, AI Act and GDPR. People learn to use AI safely and stop using it in secret.

  4. 4

    Measure and continue

    Every process has its indicators. We review them with management and decide the next step together. Models change: keeping them up to date is our job.

If a process is not ready for AI, we tell you before writing a single line of code.

If AI is not the right answer for your case, we will tell you.

A 30-minute call about a process that costs you time today. We tell you what we would do, and what we would not.