multi-agent · LatAm
Provex
AI Enabling Company for regulated organizations in LatAm: training, custom skills, multi-agent systems.
The problem
Regulated organizations in LatAm cannot simply wire public APIs into Claude or GPT and expect their industry to bless it. They need role-based training, auditable skills, on-prem or private-cloud deployment, and clear data ownership. The consulting layer that bridges that requirement with current AI infrastructure is the gap.
Technical decision
- Model-agnostic: Claude, OpenAI, Azure, AWS Bedrock, open-source models. Selection by cost, latency and the client's data regime.
- Vertical packs: Finance, Legal, HR, Marketing — each with curated skills and documented workflows.
- Multi-agent design: explicit orchestration with human-in-the-loop. No autonomous agents loose in production.
- Ongoing maintenance: implementation is the start, not the destination.
Status
Active operation. Client and metric detail kept under institutional discretion.