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Colorado ADMT: 1 Jan 2027 · EU high-risk: 2 Dec 2027 (Annex III); 2 Aug 2028 (Annex I)
Implementation Sprint · Guided rollout

AI Governance Implementation Sprint

Content update: 14 October 2026 (ACT product enquiries and commercial scope).

Use the Sprint when the issue is not another template. Use it when the team needs owners, decisions, evidence maps, and a 30-day backlog for AI governance implementation.

The Sprint is bounded implementation support. It is not a legal opinion, audit engagement, certification engagement, managed compliance service, buyer approval, or security assurance service.

Fit review requiredOwner mappingEvidence gap review30-day backlog

Decide in 30 seconds

The Sprint is useful only when there is enough real AI activity and an accountable sponsor. It should not become a general education call or an unfocused consulting discussion.

Choose Sprint

Need ownership

Your team needs owners, decisions, sequencing, and a 30-day backlog.

Discuss ACT-2 requirements

Need artifacts

You need connected implementation evidence, vendor review, board reporting or agentic AI governance records. Discuss the relevant ACT-2 scope.

Discuss ACT-1 requirements

Need baseline

You need baseline AI inventory, risk records, gap tracking or acceptable-use guidance. Discuss the relevant ACT-1 scope.

Poor fit

Need legal or audit assurance

Use qualified counsel, auditors, certification bodies, or internal control owners for assurance decisions.

Decision rule

Use the Sprint when the blocker is execution ownership, not file access.

Discuss implementation support

What the Sprint covers

The Sprint compresses early implementation into a structured route: scope, owner map, evidence map, decisions, and next backlog.

Step 1

Scope and inventory

Confirm the systems, business units, vendors, and evidence boundaries that matter first.

Step 2

Risks and controls

Map high-signal risks to controls, evidence gaps, and accountable owners.

Step 3

Evidence architecture

Build the evidence map across inventory, vendors, oversight logs, board evidence, and decision records.

Step 4

Agentic AI and vendors

Identify vendor gaps, MCP/tool-access issues, agent boundaries, and escalation triggers.

Step 5

Board and buyer evidence

Convert technical work into clearer evidence summaries for board, buyer, or internal review questions.

Step 6

30-day backlog

Finalize priorities, owners, unresolved issues, review cadence, and next decisions.

Good fit and poor fit

Good fit

  • SMEs with AI activity but scattered evidence.
  • SaaS teams facing buyer questions about AI controls.
  • vCISOs or consultants needing a repeatable implementation structure.
  • Risk, security, or governance teams working with agentic AI, MCP, OpenClaw, or tool-using agents.
  • Teams with a sponsor who can make implementation decisions.

Poor fit

  • Teams looking for a legal memo or statutory interpretation.
  • Organizations seeking certification-body decisions or audit assurance.
  • Buyers expecting fully managed GRC platform implementation.
  • Teams unwilling to assign owners or maintain evidence after the Sprint.
  • Organizations that cannot share high-level, non-confidential context.

How the Sprint connects to ACT

Discuss the governance records you need alongside the implementation support required to use them. A Sprint fit review confirms suitable materials, scope and scheduling. The client remains responsible for internal ownership.

NeedRouteWhy
Starter recordsACT-1 StarterBaseline AI inventory, risk records, gap tracking and acceptable-use guidance.
Digital implementation evidence ACT-2 ProfessionalConnected implementation evidence, vendor review, board reporting and agentic AI governance.
Guided ownership and sequencingImplementation SprintUse when the team needs decision structure, owner mapping, and a 30-day backlog.

Use the Sprint when the issue is execution ownership.

Request a fit review only when your team has enough AI activity to inspect and one sponsor who can make decisions.

Frequently asked questions

These answers help with fit-review and implementation decisions. They do not provide legal, audit, certification, buyer-approval, or security assurance.

What is the AI Governance Implementation Sprint?

The Sprint is a bounded advisory route for teams that need help turning governance artifacts into owners, decisions, evidence maps, and a 30-day backlog.

Who should request the Sprint?

Request the Sprint when AI activity already exists, the evidence is scattered, and an accountable sponsor can join working sessions to make decisions.

What materials should we discuss for the Sprint?

Discuss your existing governance records and any additional materials needed during the Sprint fit review. The proposal or agreement sets the scope, materials and scheduling. The described Sprint includes six remote sessions within 30 calendar days of the first scheduled session. Scheduling is mutually agreed; availability is not guaranteed.

What does the Sprint produce?

The Sprint should produce a scoped inventory view, priority gaps, owner map, decision log, board or buyer evidence outline, and a 30-day implementation backlog. Final outputs depend on the starting point.

Is the Sprint a legal, audit, or certification engagement?

No. The Sprint is implementation support. It is not a legal opinion, audit engagement, certification engagement, managed compliance service, buyer approval service, or security assurance service.

What should we prepare before requesting a fit review?

Prepare a rough AI system list, known vendors, current policies, buyer questions, risk deadlines, and one accountable sponsor. Do not send secrets, credentials, production data, or unnecessary personal data.

Source review dates are stated in the relevant guides. Source and review note: This page describes bounded implementation support. It is not legal, tax, audit, certification, conformity-assessment, buyer-approval, safe-harbor, or security advice. Scope, delivery, payment, and availability should be confirmed before engagement.

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.