Process automation
Classifying, extracting and organizing information to support workflows.
01 / WHAT WE DO
AI applied
to concrete challenges.
Search and assistants
Access to knowledge in documents and internal sources, with defined sources and boundaries.
AI in digital products
Integrating models into existing applications with quality criteria and human review.
02 / HOW WE WORK
From use case
to validation.
- 01
Problem and feasibility
We understand the goal, available data and usage constraints.
- 02
Experiment and criteria
We build a proof of concept and define how to evaluate responses.
- 03
Integration and oversight
We connect the solution to the real workflow, with controls and review suited to the context.
- 04
Evaluation and improvement
We track quality, cost and behavior to guide improvements.
03 / FREQUENTLY ASKED QUESTIONS
Before we begin.
Do my data need to be organized before we start?
Not necessarily. The assessment reviews the availability and quality of information and identifies the preparation needed.
How do you assess whether AI works for my use case?
We define examples and quality criteria before implementation. The solution is tested in situations close to real use.
How do you handle incorrect responses or sensitive data?
The design considers sources, permissions, human review and usage limits. These controls depend on each project’s risk and context.
