PricorisTechnologies
AI Governance, the GRC layer

AISIA AIMS GRC

AI management system governance for ISO/IEC 42001, the NIST AI RMF and the EU AI Act. An AI use case moves from intake to a documented Go, Conditional Go, Hold or No-Go, and the reasoning is always visible.

What it does

  • Governance pipeline: intake, clearance gate (triage only: pass with conditions, escalate, hold, reject), system and resource registration, EU AI Act classification, impact assessment, statement of applicability with control effectiveness, risk assessment and treatment, action tracker, evidence, disposition, closed.
  • The disposition is derived live from the rolled up impact assessment (maximum adjusted and residual impact, high and critical counts) and recomputed whenever impact changes, so a Go is never a checkbox.
  • Executive dashboard of portfolio posture: triage mix, disposition mix, risk, controls, evidence.
  • Resource register of models, data, services and components per system; AI system cards and model cards generated from the inventory.
  • Gap assessment against ISO/IEC 42001, NIST AI RMF or the EU AI Act, generated on demand as a register, a report and a results deck.
  • Document library with SHA-256 integrity hashes, an exportable manifest, and the authored AIMS document set and AI life cycle templates loaded per tenant; Annex IV technical documentation export.
  • Third party AI vendor register, assessed on the AIMS due diligence checklist.
  • Findings from SPRICO filed as control effectiveness evidence through the cross walk.

How it maps to the standards

ObligationWhereWhat the product doesStatus
AI system impact assessmentISO/IEC 42001 clause 6.1.4, A.5Amplifier based scoring, base to adjusted to residual, with live preview.Built
Risk assessment and treatmentISO/IEC 42001 clause 6.1.2, 6.1.3Inherent versus residual scoring, treatment, action tracker.Built
Statement of applicabilityISO/IEC 42001 clause 6.1.3SoA with control effectiveness across three frameworks.Built
Documented informationISO/IEC 42001 clause 7.5Hashed document library with the authored set.Built
Risk tier and obligationsEU AI Act Articles 6 to 15Classification form that advances the pipeline stage.Built
Technical documentationEU AI Act Annex IVExport from the inventory and the evidence register.In build, October 2026
Third party AI due diligenceISO/IEC 42001 A.10Vendor register on the AIMS checklist.In build, October 2026

Honest limits

  • Deployment is single instance per customer today; a hosted multi tenant version is in build.
  • The SPRICO bridge importer is the last integration step; findings currently arrive as a confirmed workbook.

Deployment

Python, Streamlit and SQLAlchemy over SQLite or PostgreSQL, running entirely inside your estate with no external services. Documents generated in house style.

Take one use case through

Bring the AI system you are least sure about. The demo ends with its disposition and the report that supports it.