Artificial intelligence is described in most places as "a tool that does everything". We look at it from the narrow side: which task, at which step, with what accuracy it can take over — we work that out together.
What it solves
Every business has work nobody wants to do but which has to be done: entering an incoming invoice into the system, writing the same answer ten times a day, merging tables by hand at month-end. This does not only take time; as attention drifts it also produces errors.
- Who enters incoming documents into the system, and how long it takes
- How many times the same question is answered by hand
- How many tables are merged by hand to produce the monthly report
We put the scope in writing from the start: what is in this release is as clear as what is not.
How we build it
First we separate out which step of the work is suited to automation. The automation prepares and the authorised person approves — which step runs on its own and which comes to you is settled at the very start. The system does not make decisions on your behalf.
Scope
- Document and invoice reading — The information on an incoming document is read into the system, questionable fields flagged.
- AI-supported customer replies — A draft reply is prepared for frequent requests; the person sending it approves.
- Report and summary generation — Periodic reports are compiled on their own and inconsistencies are flagged.
- Automation of recurring tasks — Work that runs when a defined condition occurs, without being started by hand.
01Scope
Document and invoice reading
The information on an incoming document is read into the system, questionable fields flagged.
AI-supported customer replies
A draft reply is prepared for frequent requests; the person sending it approves.
Report and summary generation
Periodic reports are compiled on their own and inconsistencies are flagged.
Automation of recurring tasks
Work that runs when a defined condition occurs, without being started by hand.