01
Diagnosis
Understand the current workflow, data, tools, constraints and the outcome that should improve.
HOW WE WORK
From a real process to an AI system in production.
An implementation follows five stages that let us understand the problem before building and validate the system before putting it into operation.
Explore an implementationIMPLEMENTATION
Five stages, one responsibility
02
Architecture
Define context, integrations, tools, skills, automation, permissions, UX and oversight criteria.
03
Build
Develop the system and connect the required components.
04
Validation
Test real scenarios, behavior, usage, errors and user experience.
05
Production & optimization
Launch with control mechanisms and prepare technical continuity.
TIMELINE
How long does it take?
Most implementations are structured around an approximately three-month cycle. The final schedule depends on the number of integrations, data availability, scope and technical complexity.
COLLABORATION
What we need from the company
- Access to process owners.
- Understanding of the current workflow.
- Required documentation.
- Authorized technical access.
- Feedback during development.
- Validation of scenarios and outputs.
JUDGMENT
What we do not do
- We do not choose AI first and then search for a problem.
- We do not add an agent when simple automation solves the task better.
- We do not treat a prototype handoff as the end of an implementation.