- AI system or use name
- Where it lives or runs, such as app, workflow, deployment, or platform
- Deployment, resource, app, endpoint, workflow, or vendor project identifier
- Vendor/platform, model, and environment status
Client readiness packet
Before you add an AI system to Sigent.
Use this packet to gather the information and people needed for a stronger AI inventory record. Better intake data creates better risk, evidence, and package outputs.
- Primary use cases and decisions the system supports
- Whether outputs rank, score, recommend, forecast, approve, deny, or flag
- Who is affected by the system's outputs
- Where humans review, override, or approve the output
- Vendors and third-party platforms involved
- Models, model families, or scoring systems used
- Data sources feeding the system
- Data types processed, including sensitive or personal data
- Relevant policies, procedures, and vendor contracts
- Risk registers, impact assessments, and governance records
- Performance, monitoring, data quality, and incident records
- Known controls already in place
Sigent uses a single intake to create the operational inventory record, assessment history, evidence checklist, and package metadata.
Sigent reviews whether the captured facts trigger EU AI Act obligations, including high-risk contexts such as HR, credit, and education.
Sigent generates governance, risk, measurement, evidence, and operational assurance work for AI systems that need trust records even when they do not trigger high-risk EU obligations.
This packet prepares the intake. It is not legal advice, testing, certification, or a regulatory filing. Sigent organizes records, evidence, obligations, and audit-package outputs.