Product first
We don't sell models, we sell results. Every technical decision is measured against a single question: does this save concrete work for the client's team? If not, it's out.
AI focused on the product.
The model is the means, not the end. Our work is not to sell AI: it is to deliver products where AI does something concrete and verifiable for the client's team.
Three things we do differently.
Living requirements
What the client asks for is visualized and monitored in real time, traceable from the initial conversation to the code in production. Nothing is lost between "we talked about it" and "it's running".
Agentic orchestration
Teams of agents with bounded roles (design, implement, review) coordinated by people who decide and approve. The human doesn't write every line: they review, correct, and merge.
ORCHESTRATION
Four roles, one person at the end.
Each requirement goes through an explicit sequence. Agents do the background work; the person defines the what and approves the result.
IN THE PRODUCT
When AI acts, it's marked.
Every data point generated by the model is distinguished from the rest: the client's team sees what the AI decided, with what confidence level, and from which product.
AI · CLASSIFICATION
Judicial notice · 15-day deadline · verified address
AI · DATAHUB
Client ACME: 3 matters with no movement > 30 days · review with responsible partner.
AI · ALERT
J. Pérez workload 23% above team average this month.
AI · ANOMALY
Unscheduled stop > 3 min on line SAL-03 · recommended action
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