Colorado AI Act in · EU AI Act (High-Risk) in · ISO 42001 + NIST AI RMF + OpenClaw + Agentic AI — organized into editable implementation artifacts

AI Governance Implementation Evidence for SMEs

Editable AI governance workbooks, policy templates, evidence trackers, board reporting artifacts, and Agentic AI/MCP governance controls for lean teams that need implementation evidence without enterprise SaaS overhead.

Editable implementation artifacts · Direct invoice delivery · No platform lock-in

Engineered by Abhishek G Sharma, ISO 42001 Lead Auditor · 9 professional certifications · 20+ years in cybersecurity and risk management. Artifacts are organized around primary standards and public framework language. Final use should be validated with qualified legal, audit, or regulatory advisers. Also the architect of EU AI Compass - 28 free EU AI Act compliance tools.

Free implementation previews

Start with public artifacts that prove the Move78 implementation evidence model: regulatory evidence, executive reporting, and agentic AI governance.

Executive reporting

AI Board Reporting Sample Deck

A sample executive deck showing how to brief leadership on AI inventory, risk posture, regulatory exposure, agentic AI risk, and next governance decisions.

ZIP · PPTX + PDF
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Flagship product

Lead with ACT-2 when the buyer needs implementation evidence.

ACT-1 is the baseline kit. ACT-2 Professional is the flagship product because it adds the operating artifacts buyers need to brief management, answer customer due-diligence questions, govern Agentic AI/MCP risk, and move from gap identification to evidence ownership.

Use ACT-1 only when the buyer needs a first inventory, risk register, and control baseline. Use ACT-2 when they need the operating system.

Policy layer

Governance, acceptable use, risk, incident, vendor, and operating documents.

Evidence layer

Evidence tracker, board reporting pack, implementation plan, and progress structure.

Agentic AI/MCP layer

Agent autonomy, MCP approval, OpenClaw-relevant controls, override, and incident evidence.

Rollout layer

A practical path from artifacts to implementation, with Sprint support available after ACT-2.

Not a commodity template pack. Not another enterprise platform.

Move78 sits between static document sellers and demo-gated SaaS. The product is an editable implementation backbone: inventory, risk register, cross-framework controls, evidence tracker, board reporting, and Agentic AI/MCP/OpenClaw governance artifacts that a lean team can own internally.

Against templates

Templates give you documents. Move78 gives you decision-ready implementation artifacts connected by a control matrix and operating workflow.

Against SaaS lock-in

You keep the files. No platform dependency, no new GRC admin role, no demo cycle before you can start.

Against consulting-first work

Start with the artifacts. Add the Implementation Sprint only if you need guided rollout, tailoring, and evidence review.

The cross-framework reconciliation problem

Most AI governance programs stall at the same point: the organization purchases an ISO 42001 template pack from one vendor and a NIST AI RMF guide from another, then discovers that no one has reconciled where Clause 6.1.2 overlaps with NIST MAP 1.1. The reconciliation work typically consumes 4-6 weeks and $20,000-$40,000 in external implementation fees.

The current market gap

Existing vendors sell framework-specific document packs: ISO 42001 templates ($199-$699), NIST AI RMF guides, Colorado AI Act checklists. Each operates in isolation. No vendor in the downloadable toolkit category provides a pre-built crosswalk showing how a single control implementation satisfies requirements across multiple frameworks simultaneously.

The AI Controls Toolkit (ACT) approach

ACT provides a pre-reconciled unified controls matrix mapping ISO 42001 Clauses 4-10, NIST AI RMF's 72 subcategories, and Colorado AI Act evidence alignment requirements into a single implementation pathway. All artifacts are derived from primary standard documents by a certified ISO 42001 Lead Auditor. Implement one control. Satisfy three frameworks.

Cross-framework coverage by tier

The unified controls matrix is the core deliverable of ACT. The table below details framework coverage at each product tier.

Framework Tier 1 Starter Tier 2 Professional What you get
ISO/IEC 42001:2023 Controls matrix + gap checklist + Policy templates + audit evidence Clause 4-10 mapping, Annex A controls, Statement of Applicability guidance
NIST AI RMF 1.0 Controls matrix + risk register + Implementation project plan All 4 functions (Govern, Map, Measure, Manage), 72 subcategories mapped
NIST AI 600-1 GenAI Profile Integrated in controls matrix + GenAI-specific policy sections 12 generative AI risk categories with mitigation controls
Colorado AI Act (SB 24-205) Safe harbor mapping + Impact assessment template Deployer/developer obligations, reasonable care documentation
Agentic AI Governance 2 free assessments (Tier 0 — Free) Dedicated module OWASP Top 10 for Agentic Applications + LLM Top 10 dual mapping, IMDA framework, autonomy bounding, agent registry, agent compromise response playbook, MCP security governance checklist
OpenClaw Security 4 free assessments (Tier 0 — Free) + Governance in agentic module OpenClaw security readiness assessment, agent security assessment, enterprise governance checklist, shadow deployment governance check (Tier 0). Open-source agent risk register, agent compromise response playbook, MCP security governance checklist (Tier 2)
ACT Tier 3 Implementation Sprint Prerequisite Structured implementation sprint for buyers of AI Controls Professional, including working sessions, document tailoring, evidence review, and rollout guidance.

Three tiers. One implementation pathway.

Each tier builds on the last. Start with a free self-assessment, then choose the implementation depth that matches your governance maturity.

AI Controls Toolkit (ACT) — Tier 1
Starter

Core AI risk & governance artifacts for organizations establishing a formal AI management baseline across ISO 42001, NIST AI RMF, and Colorado AI Act.

  • Unified controls matrix (cross-framework)
  • AI system inventory template
  • Gap analysis checklist
  • AI risk register
View pricing →
AI Controls Toolkit (ACT) — Tier 3
Implementation Sprint

For organizations that have purchased AI Controls Professional and need a structured implementation sprint, document tailoring, evidence review, and working-session guidance to move from toolkit ownership to operational rollout.

  • Built for buyers of AI Controls Professional
  • 6 live sprint sessions
  • Document tailoring and evidence review
  • Direct guidance for operational rollout
View Implementation Sprint →

Compare all tiers, pricing, and detailed feature breakdown →

Agentic AI & OpenClaw governance modules

Autonomous AI agents - including the rapidly adopted OpenClaw framework (250,000+ GitHub stars, 9 CVEs disclosed, 135,000+ exposed instances identified in 2026) - introduce governance requirements that traditional frameworks were not designed to address. Agents can plan, execute multi-step workflows, access production systems, and trigger real-world consequences with limited human oversight. The OWASP Top 10 for Agentic Applications for 2026 and Singapore IMDA's Agentic AI Governance Framework (January 2026) reflect this shift. AI Controls Professional includes a dedicated agentic governance module - the only purchasable static toolkit in this category.

Action-space assessment - What's the agent allowed to do? Which systems can it touch? Where does human sign-off kick in? If you can't answer those questions for every deployed agent, you've got an unmanaged risk.
Autonomy bounding - Permission boundaries, escalation triggers, and emergency stop controls. Think of it like least-privilege access for a digital contractor who happens to reason and act on its own.
OWASP Top 10 for Agentic Applications controls - Governance-level mitigations for each of the 10 critical risks (ASI01 through ASI10), mapped to ISO 42001 Annex A controls. Not just a risk list. Actual countermeasures.
Agent registry - Track what's deployed, who owns it, what permissions it holds, and when it was last reviewed. If you don't have this, you've got shadow agents.
OpenClaw security governance - The fastest-growing AI agent framework (250,000+ GitHub stars) triggered 2026's first major AI agent security crisis: 9 CVEs, 1,184 malicious skills on ClawHub, and 135,000 exposed instances. Move78 provides 4 free OpenClaw assessments (security readiness, agent security, enterprise governance checklist, shadow deployment governance) plus AI Controls Professional includes a dedicated open-source agent risk register, agent compromise response playbook, and MCP security governance checklist. Run a free OpenClaw assessment.
EU

EU AI Act compliance

EU AI Compass is a separate, free platform with 28 browser-based compliance tools and 24 pillar guides focused exclusively on the EU AI Act. No login or data collection required. The AI Controls Toolkit (ACT) covers ISO 42001, NIST AI RMF, agentic AI, and US state regulation.

Visit EU AI Compass →

Frequently Asked Questions (FAQs)

What is the AI Controls Toolkit (ACT)?

The AI Controls Toolkit (ACT) is a structured AI governance package delivered as editable implementation workbooks and templates. The core deliverable is a unified controls matrix that helps teams map ISO/IEC 42001, NIST AI RMF, and Colorado AI Act evidence alignment into one implementation pathway. It is file-based, not a SaaS platform.

What is the difference between ACT-1 Starter and ACT-2 Professional?

ACT-1 Starter provides the foundation: controls matrix, AI system inventory, gap analysis checklist, and risk register. ACT-2 Professional adds implementation-grade materials such as policy templates, board reporting, vendor diligence, FRIA support, and agentic AI / OpenClaw governance modules. Teams facing customer diligence or board reporting should evaluate ACT-2.

Does ACT support Colorado AI Act evidence alignment?

Yes. ACT is designed to help teams organize evidence against recognized AI risk frameworks such as ISO/IEC 42001 and NIST AI RMF, which are relevant to Colorado AI Act risk management expectations. This is implementation support only. It is not legal advice, a legal opinion, or a guarantee of safe-harbor treatment.

Who built Move78 ACT?

Move78 ACT is built by Move78 International Limited under the direction of Abhishek G Sharma, a cybersecurity and AI governance practitioner with ISO 42001 Lead Auditor, ISO 27001 Lead Auditor, CISA, CISM, CRISC, CEH, CCSK, CAIGO, and CAIRO credentials. Buyers should still validate all artifacts against their own legal, audit, and operational context.

Do I need to be pursuing ISO 42001 certification to use ACT?

No. ACT can support ISO 42001 readiness, customer diligence, internal AI governance, board reporting, vendor review, and evidence organization even when certification is not the immediate goal. Certification is one possible use case, not a prerequisite.

Why not just use an enterprise GRC platform?

An enterprise GRC platform can be useful when a team already knows its AI systems, owners, controls, workflows, and evidence model. Many SMEs need the evidence architecture first. ACT gives the team editable artifacts before committing to platform configuration, subscription cost, and operational overhead.

Assess your AI governance readiness

Over 20 free assessments covering AI governance, Colorado AI Act, ISO 42001, NIST AI RMF, OpenClaw security, agentic AI governance, and emerging regulations. Each takes 5-15 minutes and generates a prioritised action plan. No login required.

Choose the buyer path that matches your role

Move78 ACT provides editable AI governance implementation evidence for SMEs and technical teams. Pick the route closest to your role, then decide whether ACT-1, ACT-2, or an implementation sprint fits the gap.