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.

Every implementation includes Lattice Séeb calibration for your industry. The model learns your domain, not ours.

We define concrete KPIs in Phase 1. We don't deliver AI, we deliver results. With documented impact metrics.

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 mapping, data sources, impact x risk x time matrix. We identify the use cases with the highest ROI potential.
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
Lattice Séeb specialization
Tuning to your industry's specific domain. Calibration with real data, production case testing, and results validation.
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.