EU AI Act
Classify the system, identify the role and risk posture, map applicable obligations, and organize the documentation needed to support the record.
SigentAI system records and readiness packages
Sigent
One operating record for AI compliance and assurance.
Identify every AI system in use, map where it touches the business, track the evidence behind each claim, and generate structured records for EU AI Act readiness and NIST AI RMF assurance.
Sigent produces compliance documentation. It does not certify compliance, provide legal advice, independently test AI systems, or file with regulatory authorities.
The central record
Know which system you mean, what it affects, and what supports the record.
A Sigent record connects the operational deployment to its business impact, assessment history, evidence work, and generated package.
AI system recordInventory Forecasting
Medium RiskDeploymentinventory-reorder-prod-v2Client-attested
Business processInventory replenishmentInferred
Assessment lensEU AI Act + NIST AI RMFReviewed
Evidence11 items openAction required
One door, two entrances
One intake. Separate compliance and assurance conclusions.
The same system facts can support a regulatory review and an operational assurance review without blending the two into one ambiguous score.
NIST AI RMF
Organize governance, context, measurement, risk treatment, and operational evidence against the NIST AI Risk Management Framework.
How the record develops
From inventory entry to a package that can be checked.
Identify the operational system
Record the deployment, business process, vendor, model, data sources, and the real identifier that connects the record to the system in use.
Assess through two lenses
Use one intake for EU AI Act applicability and NIST AI RMF assurance. Sigent keeps the conclusions and confidence sources distinct.
Build the evidence record
Turn open obligations into assigned evidence tasks with status, ownership, due dates, and a recorded change history.
Generate a checkable package
Create structured package artifacts with a manifest, file hashes, and an Ed25519-signed ledger proof.
Built for consequential AI use
Start where scrutiny is already part of the sale.
HR technology
Screening, ranking, recommendation, and workforce systems that need defensible records of purpose, oversight, data, and evidence.
Financial technology
Credit, underwriting, fraud, eligibility, and pricing systems where model use and customer impact must be traceable.
Education technology
Admissions, evaluation, proctoring, recommendation, and learning systems that affect access, opportunity, or student outcomes.
Pricing
One published price per AI system.
No quote-by-headcount and no hidden entry tier. Multi-system and procurement terms are handled directly with Pathion.
One-time setup$2,500
System intake, initial assessment, registry record, evidence plan, and package foundation.
Monthly per AI system$499
Living system record, evidence workflow, assessment history, and package regeneration.
Year one, one system$8,488
$2,500 setup plus $5,988 for twelve months of service.