Regulatory evidence
FRIA Lite + Colorado Consumer-Rights Forms
A lightweight starter for impact review, consumer-rights handling, and annual review readiness under Colorado-style deployer obligations.
Open preview →Move78 provides editable AI governance evidence packs, not SaaS.
Use Move78 AI CONTROLS TOOLKIT (ACT) to create control matrices, policy templates, board packs, vendor-risk records, and agentic AI governance artifacts for teams implementing ISO 42001, NIST AI RMF, Colorado AI Act, and Agentic AI.
File-based implementation artifacts. No SaaS lock-in. Built by a cybersecurity and AI governance practitioner.
Not legal, audit, certification, conformity-assessment, or security advice.
Move78 helps when the problem is evidence: what to document, who owns it, how controls map across frameworks, and what a buyer, board, auditor, or security reviewer may ask to see.
You need board packs, vendor-risk records, policy artifacts, evidence trackers, and implementation ownership.
View ACT-2 →Yes: ACT-1 routeYou need an AI inventory, risk register, gap checklist, and control matrix before buying a platform.
See ACT-1 →Yes: agentic routeYou need records for agent boundaries, approvals, oversight, incident paths, and technical-governance handoff.
See agentic controls →Probably notMove78 is not a law firm, certification body, audit provider, or enterprise workflow platform.
Compare options →Try the free previews to evaluate ACT-1 or ACT-2.
A lightweight starter for impact review, consumer-rights handling, and annual review readiness under Colorado-style deployer obligations.
Open preview →A sample executive deck for AI inventory, risk posture, regulatory exposure, agentic AI risk, and next governance decisions.
Open preview →A one-page model for agents, MCP servers, tools, skills, human override, kill-switches, evidence records, and incident escalation.
Open preview →ACT-1 gives the baseline records. ACT-2 Professional adds the operating artifacts needed for management reporting, customer diligence, vendor review, FRIA support, agentic AI controls, MCP governance, OpenClaw context, and evidence ownership.
Use ACT-1 for the first control baseline. Use ACT-2 when the team needs an implementation evidence pack, not another disconnected template folder.
Governance, acceptable use, vendor, incident, and operating policy templates.
Evidence tracker, board reporting pack, implementation plan, and progress structure.
Agent autonomy, MCP approval, OpenClaw-relevant controls, override, and incident evidence.
A path from documents to ownership, review cadence, and implementation follow-through.
Move78 gives lean teams the files usually missing from early AI governance work: a control matrix, evidence file, board pack, vendor questions, risk records, and ownership path.
Map ISO 42001, NIST AI RMF, Colorado AI Act evidence expectations, and agentic AI governance into one working structure.
Connect inventories, risk records, policy artifacts, vendor reviews, board packs, and implementation trackers.
Assign owners, review cadence, escalation routes, and evidence tasks before configuring a larger GRC platform.
Most teams do not fail because they lack documents. They fail because the documents are disconnected: one ISO template, one NIST spreadsheet, one vendor questionnaire, one board question, and no owner for the evidence file.
Separate document packs do not tell a lean team which artifact owns the decision. That is why governance stalls: no single matrix shows the control, owner, record, and next review.
ACT gives the team a pre-built evidence architecture: control matrix, inventory, risk register, policy layer, board pack, and agentic AI governance records. The point is not more documents. The point is connected evidence.
Make each record ownable by a business, security, privacy, compliance, legal, or product stakeholder.
The unified controls matrix is the core ACT deliverable. ACT-1 supports baseline setup. ACT-2 adds operating artifacts for implementation and reporting.
| Framework or topic | ACT-1 Starter | ACT-2 Professional | Primary use |
|---|---|---|---|
| ISO/IEC 42001:2023 | ✓ Control matrix + gap checklist | ✓ Policy and evidence support | AI management system readiness and control ownership. |
| NIST AI RMF 1.0 | ✓ Control mapping + risk register | ✓ Implementation planning | Govern, Map, Measure, and Manage alignment. |
| GenAI and agentic AI | ✓ Baseline references | ✓ Dedicated governance module | Agent registry, MCP governance, autonomy boundaries, override, and incident evidence. |
| Colorado AI Act | ✓ Evidence alignment | ✓ Impact and consumer-rights support | Reasonable-care evidence organization and deployer records. |
| OpenClaw governance | ✓ Free assessment routes | ✓ Governance module context | Open-source agent risk, approval, monitoring, and response evidence. |
| Implementation Sprint | Not included | Available after ACT-2 | Remote working sessions, tailoring, and evidence review support. |
ACT is implementation support only. It does not provide legal advice, certification assurance, audit assurance, or safe-harbor assurance.
Start with the lowest tier that answers the current buyer, board, or internal risk question. Upgrade only when the evidence scope expands.
Baseline AI governance records for teams establishing their first control and risk evidence structure.
Implementation evidence pack for policies, board reporting, vendor diligence, FRIA support, agentic AI, MCP, and OpenClaw governance context.
Guided support for ACT-2 buyers who need sequencing, tailoring, evidence review, and rollout working sessions.
Agentic systems can plan, call tools, use external services, and trigger workflow actions. ACT-2 includes governance artifacts for defining what agents may do, who approves access, when humans must intervene, and what evidence should be retained.
Define what the agent can do, which systems it can touch, and where human approval is required.
Set permission boundaries, escalation triggers, override controls, and emergency stop expectations.
Track deployed agents, owners, permissions, tools, skills, review dates, and status.
Use the free OpenClaw assessments and ACT-2 artifacts to structure approval, risk, monitoring, and response evidence.
Run OpenClaw assessment →Pick the buyer path closest to your role, then decide whether ACT-1, ACT-2, or a sprint fits the evidence gap.
Build a credible AI governance baseline without hiring a full GRC team.
Compliance pathTurn scattered AI activity into registers, policy artifacts, and owner-led workflows.
Security pathMap shadow AI, vendor risk, agentic workflows, MCP exposure, and OpenClaw governance.
Advisor pathReuse structured client-delivery artifacts instead of rebuilding cross-framework evidence packs.
Trust layerSee how Move78 maps source frameworks into editable artifacts and claim boundaries.
Purchase pathReview invoice, bank-transfer, delivery, support, refund, and licensing expectations before purchase.
EU AI Compass is a separate free platform focused on EU AI Act readiness tools and guides. Move78 ACT focuses on broader AI governance implementation evidence across ISO 42001, NIST AI RMF, Colorado AI Act, agentic AI, MCP, and OpenClaw governance context.
Visit EU AI Compass →Quick answers for buyers checking whether Move78 ACT fits their evidence, governance, and implementation needs.
The AI Controls Toolkit, ACT, is a file-based AI governance package delivered as editable workbooks and templates. It helps teams organize controls, risks, owners, and evidence across ISO/IEC 42001, NIST AI RMF, Colorado AI Act, and agentic AI governance topics.
ACT-1 gives the baseline records: controls matrix, AI inventory, gap checklist, and risk register. ACT-2 adds implementation-grade materials such as policy templates, board reporting, vendor diligence, FRIA support, and agentic AI, MCP, and OpenClaw governance modules.
Yes. ACT helps organize evidence against AI risk management frameworks that may support Colorado AI Act readiness work. It is implementation support only and is not legal advice, a legal opinion, safe-harbor assurance, or proof of compliance.
Move78 ACT is built by Move78 International Limited under the direction of Abhishek G Sharma, a cybersecurity and AI governance practitioner. Buyers should validate the artifacts against their own legal, audit, security, and operating context.
No. ACT can support ISO 42001 readiness, customer diligence, internal governance, board reporting, vendor review, and evidence organization even when certification is not the immediate goal.
An enterprise GRC platform can be useful after a team knows its AI systems, owners, controls, workflows, and evidence model. Many SMEs need the evidence architecture first. ACT provides editable artifacts before the team commits to platform configuration and recurring subscription overhead.
Run a free assessment first. Then choose ACT-1, ACT-2, or sprint support based on the evidence your team actually needs to create.
Source and review note: This homepage was rebuilt on 14 May 2026 using the Move78 webpage and SEO operating specs, the approved homepage baseline, and the current product ladder. It provides product information and implementation-support guidance only. It is not legal advice, tax advice, audit assurance, certification assurance, conformity-assessment advice, buyer-approval assurance, safe-harbor assurance, or security assurance. Validate legal, regulatory, contractual, tax, audit, and security decisions with qualified professionals.
Built by Abhishek G Sharma, founder of Move78 International. 20+ years in cybersecurity and risk management. ISO 42001 Lead Auditor, ISO 27001 Lead Auditor, CISA, CISM, CRISC, CEH, CCSK, CAIGO, and CAIRO. Also the architect of EU AI Compass, a separate privacy-first EU AI Act tools site.