AI Governance Evidence for Compliance Leads
This page is for compliance, privacy, and risk leads who need editable AI governance evidence across ISO/IEC 42001, NIST AI RMF, EU AI Act-related work, Colorado AI Act-related work, vendor diligence, and internal oversight.
The problem this page solves
Compliance teams are being asked to govern AI before the operating model is clear. The gap is usually not awareness. The gap is evidence: who owns each AI system, what framework applies, what control exists, what evidence is retained, and what still needs review.
Inventory before policy
Create a controlled AI system inventory before writing broad governance statements.
Connect frameworks to evidence
Use a unified control matrix to avoid maintaining disconnected ISO, NIST, legal, and board trackers.
Track evidence by owner
Assign control owners, evidence status, review dates, and open gaps in a format that survives handoff.
Decision path for this buyer
The practical compliance question is not whether AI governance matters. The practical question is whether the organization can produce a controlled evidence trail when a customer, auditor, regulator, insurer, or board asks for it.
| Step | Action | Evidence output |
|---|---|---|
| Day 1 | Create the AI system inventory | System register with owner and vendor fields |
| Week 1 | Map controls to frameworks | Cross-framework control matrix |
| Week 2 | Create evidence owner workflow | Evidence tracker with status and review dates |
| Month 1 | Prepare compliance review pack | Policy set, risk register, vendor diligence file, and board summary |
Which Move78 artifact fits the job?
| Need | Best fit | Why |
|---|---|---|
| You need a baseline control map | ACT-1 Starter | Good for first pass scoping, inventory, and control mapping. |
| You need working evidence files | ACT-2 Professional | Best fit for policies, procedures, vendor diligence, FRIA starter work, and reporting. |
| You need cross-functional rollout | ACT-3 Implementation Sprint | Use when Legal, Security, Product, and leadership need alignment. |
Who this is not for
- You need binding legal interpretation of the EU AI Act or Colorado AI Act.
- You require certification from an accredited body.
- You want to outsource all control ownership instead of assigning internal owners.
- You expect one spreadsheet to solve legal, security, procurement, and audit obligations by itself.
Frequently Asked Questions (FAQs)
What does a compliance lead get from ACT-2?
A compliance lead gets editable implementation artifacts for AI inventory, risk assessment, control mapping, vendor diligence, policy alignment, evidence tracking, and board reporting. ACT-2 is not a legal opinion. It gives the compliance function a structured evidence base that can be reviewed by legal, security, audit, or external advisors.
How does this help with ISO/IEC 42001 or NIST AI RMF work?
ACT-2 helps by translating framework language into practical evidence objects: owners, fields, records, controls, registers, decision logs, and review steps. ISO/IEC 42001 and NIST AI RMF still require organizational judgment. The toolkit gives the compliance team a starting structure instead of a blank document set.
Can the artifacts be edited for our organization?
Yes. The artifacts are intended to be edited for the organization’s AI systems, vendors, risk appetite, legal obligations, internal roles, and evidence processes. The compliance lead should assign owners, remove irrelevant fields, add sector-specific requirements, and have qualified counsel review legal interpretations before reliance.
What is the biggest compliance risk this page addresses?
The biggest compliance risk is fragmented evidence. Teams often have policies, spreadsheets, vendor notes, and risk decisions scattered across tools with no single audit trail. ACT-2 gives the compliance lead a way to reconcile AI systems, risks, controls, evidence, and owners into one operating package.
Does ACT-2 guarantee audit readiness?
No. ACT-2 does not guarantee audit readiness, certification, regulatory acceptance, or safe harbor. It supports evidence organization and implementation discipline. Audit readiness still depends on the accuracy of the content, actual control operation, leadership accountability, legal interpretation, and independent review where required.
Source and review note
This page is based on Move78 product scope and public framework references. It is not legal advice and does not certify compliance.
| Reference | Source |
|---|---|
| EU AI Act | Regulation (EU) 2024/1689 on EUR-Lex |
| ISO/IEC 42001 | ISO/IEC 42001:2023 official ISO page |
| NIST AI RMF | NIST AI Risk Management Framework |
| NIST AI 600-1 | NIST Generative AI Profile |
| OWASP Agentic AI | OWASP Top 10 for Agentic Applications |
| Colorado AI Act | Colorado SB24-205 and Colorado AG rulemaking page |
Published: 2026-04-28. Last updated: 2026-04-28. Last reviewed against official source pages: 2026-04-28.