METHODOLOGY

5-Phase Methodology for Responsible AI

A structured and replicable process that ensures successful implementations with governance from day one.

PRINCIPLES

AI that works because it's well built

Five non-negotiable principles that guide every Sintérgica AI implementation.

We define roles, permissions, and usage policies before writing a single line of integration. AI without governance is risk without control.

We don't assume which processes to automate. We map, measure, and prioritize based on real data from your operations.

Agents learn your formats, criteria and systems. When the case justifies it, we specialize a model as a separate project, with evaluation and method.

We agree on what to measure and how before we start. No catalog percentages: we deliver the report with your results.

Training is not optional or an afterthought. It's a process phase with its own objectives, formats, and metrics.

PROCESS

Each phase has concrete deliverables, success metrics, and client validation checkpoints.

01
Phase 1
Diagnosis and prioritization
Process map, data sources and owners. We prioritize processes that repeat every week, happen on screen and can be measured before and after.
02
Phase 2
Governance design
Roles, permissions, usage policies, quality standards. Governance is defined before implementation, not after.
03
Phase 3
Integration and enablement
Connectors to existing systems, document loading, Agent configuration with domain-specific knowledge.
04
Phase 4
Testing and go-live
Testing with real cases from your operation, validation against the signed acceptance criteria and launch with your team.
05
Phase 5
Adoption and operation
Audience-specific training, KPI definition, metrics monitoring, continuous improvement, and expansion plan to new areas.

Siguiente paso

Schedule a conversation to learn about the 5 phases and how they apply to your operational context.