Occupational health · Auditing
Sentinela
Nine AI agents audit occupational health records before errors turn into liabilities.
- Client
- Occupational health group
- Status
- Being rolled out
- Technology
- Python · Next.js · PostgreSQL · vision models

Maestro
Decision: reads the whole case and decides where it goes next.

Porteiro
Intake and triage: receives from five channels and lets nothing in unrecorded.

Escrivão
Document validation: checks the ASO and the package against the exam order.

Clínico
Lab and test interpretation.

Auditor
Protocol adherence: flags the divergence and never blocks.

Perito
Disability classification.

Elo
Communication with patients, providers and HR, without leaking clinical data.

Vigia
Deadlines: keeps the clock on every pending item and follows up on its own.

Analista
Governance and metrics: rejects any number it can't back up.
Client and documents are under NDA; no screens are published.
It receives the provider's document package (ASO fitness certificate, clinical form, tests, reports), identifies each page, extracts the fields, checks them against the exam order and the medical protocol, and follows up on missing items with deadlines. Clinical decisions always rest with the doctor.
The AI checks and flags. The doctor decides.
- specialized agents
- 9specialized agents
- acceptance criteria
- 13acceptance criteria
- delivery waves
- 5delivery waves
- commits
- 528commits
What the system does
- Package intake through several channels, including WhatsApp
- Each page classified by text, OCR and vision
- Field extraction and ASO validation against the exam order
- Audit of clinical conduct against the medical protocol
- Human review queue that teaches the system
- Dashboard with cost per agent and acceptance criteria
Where AI comes in
- 01A squad of agents with defined roles, coordinated by a conductor
- 02PDFs read by vision models, with a swappable provider per agent
- 03Quality measured against an answer key before any model change
- 04Records encrypted at rest
Next case
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