How Prosidio Uses AI
One operating model. Three internal systems.
Quality AI agent

CAIRA is Prosidio's QMS AI agent.

Poster showing CAIRA as a governed case lane with complaint intake, evidence, draft bundle, and a human release boundary.

Compliant AI for Regulatory Affairs (CAIRA) sits inside the quality workflow, not around it. It preserves complaints as evidence, structures draft artifacts, routes governed casework, and keeps publication behind a recorded human gate.

01
Stateful casework
02
Evidence aware
03
Approval recorded
Draft quickly. Publish only after approval is logged.
Broad remit

A broad-remit quality agent is what keeps governed casework moving.

Prosidio uses Compliant AI for Regulatory Affairs (CAIRA) as a broad-remit QMS AI agent, not a narrow document helper. It is built around modern agentic runtime patterns: stateful case routing, evidence-aware tool use, durable record context, and hard human checkpoints at release.

01 Broad remit
CAIRA can intake complaint signals, assemble evidence, shape the case, and prepare review-ready artifacts inside one governed agent loop.
02 Procedure-aware routing
The workflow stays inside the right procedure path instead of dropping context between tools and folders.
03 Evidence-grounded drafting
Attachments, OCR output, and supporting records stay tied to the case that generated them.
04 Release checkpoint
Official publication remains a governed event with recorded approvals and receipts.
Control boundary

The agent can be broad-remit because the release gate stays hard.

CAIRA supports regulated work because it preserves the boundary that matters most: draft outputs can move quickly, but official record publication still requires recorded human approval.

Draft zone

Controlled staging artifacts can be assembled with the case context attached.

Published record

Signed outputs, not unsigned drafts, are the intended record state.

Version history

Working artifacts stay inspectable rather than silently overwritten.

Approval trail

Publication stays tied to the right procedure and sign-off path.

Agentic infrastructure

Evidence has to stay attached to the case if the workflow is going to stay fast.

This is what modern agentic infrastructure buys the QMS: intake, evidence handling, draft preparation, and release state remain legible as one governed sequence instead of fragmenting across handoffs.

Step 1: 01
Route casework

A complaint or mailbox-driven quality signal enters the workflow and is preserved as case evidence.

Step 2: 02
Assemble evidence

OCR and structured packet handling bring attachments and supporting records into one usable case file.

Step 3: 03
Prepare artifacts

Compliant AI for Regulatory Affairs (CAIRA) prepares review-ready QMS artifacts tied to the correct workflow path and procedure.

Step 4: 04
Human release gate

Official publication remains behind explicit human review, signing, and release gates.

Traceability posture

Controlled workflows. Traceable outputs. Bounded claims.

Built like a modern governed agent: routed workflow, durable state, and human checkpoints.
Aligned to formal procedures, forms, storage locations, and approval gates.
Designed for review-ready outputs and traceable case handling rather than unbounded freeform generation.
Release history stays tied to approval records and validation state instead of becoming an untraceable black box.