Triage and classification
Documents, tickets and messages classified automatically, with an explicit confidence level on each decision.
Service
Cognitive automation and AI
AI where it adds real precision, with human oversight where it matters. No decorative AI for the sales deck.
Not every problem needs AI, and using it where it is not needed costs more and delivers worse. Our criterion is simple: it goes in when the variety of the input makes a fixed rule unworkable, and always with an oversight point where an error has consequences.
Book a 30-min conversationWhat this service covers
Deliverables that work together or separately, depending on where your brand stands.
Information extraction
Reading invoices, contracts and forms to turn loose text into structured, usable data.
Human oversight
A review flow for low-confidence cases, rather than accepting everything the model returns.
Integration into the process
The AI output lands in the system the team already uses, without creating one more screen for somebody to check.
Quality evaluation
Continuous measurement of accuracy by case type, so you know where the model is reliable and where it is not.
Tuning with your own data
Refinement with your real examples, which usually returns more than switching models.
How we work
A clear method. A partner who stays when execution starts.
AI by necessity
If a simple rule resolves it, we use a simple rule. AI enters when the variety of the input justifies it.
Explicit confidence
Every decision comes with a certainty level. What falls below the threshold goes to human review.
A person at the critical point
Where an error has consequences, someone reviews. Full automation is a choice, not the default.
Quality measured
We track accuracy by case type over time, not only in the pilot.
Privacy from the design
We define what may be sent to an external model and what stays in your environment, before building.
Frequently asked questions
Will my data train a third party's model?
Not without your explicit authorisation. We define at the start what leaves your environment and use zero-retention configuration when the case requires it.
What accuracy should I expect?
It varies a lot by document type and input quality. That is why we measure in a pilot before scaling, and the confidence threshold is calibrated on real data.
What happens when the AI is wrong?
Low-confidence cases already go to human review. For the rest, continuous measurement shows where to adjust.
Do I need a lot of data to start?
Less than people assume. A small set of well-chosen examples usually returns more than a large, disorganised volume.
Does it work in Portuguese?
Yes, and we test with your real documents before going into production.
How long until a pilot?
Four to eight weeks, including defining the quality criterion and the initial measurement.
Want to understand how this applies to your brand?
Tell us about your operation. We will say honestly what can be delivered and how long it takes.
Get in touch