Document automation
A company processing a high volume of documents by hand, every day.
document automation
year >
industry >
operations
problem >
Documents arrived in every format and left the same way: read by a person, retyped into a system, checked by a second person.
Volume grew, the team did not, and the backlog became the bottleneck for everything downstream.
what we did >
We built a set of agents, each with one job — intake and classification, extraction, validation against the rules that matter, and hand-off into the systems already in use.
Anything the agents are not confident about goes to a person, with the reason attached.
result >
Most documents now go through without a person touching them. The team reviews the exceptions instead of the queue.
.
01
X%
processed without review
.
02
X h
saved weekly
Questions
A company is AI-native when AI is part of how the product works and how the work gets done — not a feature added at the end. It changes what you build and how your team operates. We work that way ourselves, which is why we can tell you what it costs.
If you already know what to build, start with software. If you do not, start with consulting. Most companies start with a two-week assessment and move straight into a build.
One call. We look at your business, product and operations, then send a short written plan with scope, timeline and price. No questionnaire, no discovery deck.
An assessment takes two weeks. A first system usually runs in production within four to eight weeks. Larger programmes run as a monthly engagement.
Companies with a real operational or product problem — funded startups through to established mid-size companies. We are based in Portugal and work remotely across Europe.
