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.

Information to gatherPre-intake
System identity
  • 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
Use and decision context
  • 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
Vendor, model, and data map
  • 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
Evidence and controls
  • 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
Who should help
Business ownerConfirms use case, decision context, and operational impact.
Technical contactConfirms where the AI runs and the deployment, app, workflow, or vendor identifier.
Risk or complianceConfirms policies, evidence, control expectations, and governance posture.
Legal or privacyReviews regulatory, privacy, and contractual implications when needed.
One door, two entrances
The one doorAdd the AI system once.

Sigent uses a single intake to create the operational inventory record, assessment history, evidence checklist, and package metadata.

Compliance entranceEU AI Act readiness.

Sigent reviews whether the captured facts trigger EU AI Act obligations, including high-risk contexts such as HR, credit, and education.

Assurance entranceNIST AI RMF readiness.

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.

Boundary

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.