Services

AI workflow automation

The biggest levers are rarely in the spectacular use case but in the tasks that come up hundreds of times a day: sorting the inbox, matching receipts, assembling reports.

The calculation that comes before every project

Whether automation pays off can be checked in one line: cases per month, times minutes per case, times fully loaded cost rate. A task that occurs twice a month is almost never worth it — however annoying it is. One that runs forty times a day and costs eight minutes each time almost always is, even if only half of it can be automated.

This calculation replaces the gut feeling about which process is “the worst”. The worst is rarely the most expensive.

Rules first, model second

Not every step needs AI. An invoice amount can be extracted more reliably with a regular expression than with a language model — deterministic, free, traceable at any time. The model comes in where meaning is involved: what is this email about, does this receipt belong to this project, is this complaint urgent.

A workflow that uses a model everywhere is more expensive, slower and harder to audit than one that uses it deliberately.

Edge cases belong with a human

Every classification comes with a confidence score. That number is the real control lever: confident cases run through automatically, uncertain ones land in a review queue with the two most likely suggestions. What matters is where the threshold sits — and that follows from error costs, not overall accuracy. A misfiled newsletter is harmless, a misallocated payment is not.

Setting up MS Copilot properly rather than just licensing it

Copilot licences are often bought and then left to themselves. The benefit only emerges through preparation: which SharePoint areas are actually cleared, which outdated versions should go first, who may see what. Without that clean-up Copilot finds precisely the contradictions that were already sitting in the file chaos — only now it presents them confidently as an answer.

How we support you

  • Process assessment with a business case before anything is built — including the honest answer when it does not pay off.
  • Automations with n8n and custom background workers, connected to your existing systems.
  • Calibrated confidence thresholds and a review queue for edge cases instead of all-or-nothing.
  • MS Copilot setup including preparatory work on storage, clearances and permissions.