Privacy practices for AI compliance workflows.
Souma is designed to support output review while giving teams clear boundaries around the content, provenance, and audit records they submit.
Customer control
Teams choose where Souma sits in their AI workflow and what output review events are submitted for compliance checks.
- Customer-directed integration scope
- Review workflows configured around submitted outputs
- Documentation for implementation and API usage
Review data
Souma focuses on the data needed to evaluate right-to-use, provenance, and policy risk at the output layer.
- AI output content submitted for review
- Context needed for provenance and policy checks
- Operational metadata such as timestamps and review status
Audit records
Compliance records are structured so teams can understand why an output was approved, flagged, or escalated.
- Evidence packets for internal review
- Policy references and review outcomes
- Exportable records for legal and compliance teams
Requests
Privacy and data handling questions are routed through the onboarding and procurement review process.
- Security review requests
- Commercial agreement review
- Data handling and integration questions
This page is a product privacy overview and should not be treated as legal advice or a complete privacy policy for every customer deployment.
Request security review