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Function: Executive decision support

AI Workflow for Automation Governance Review

Deployment Brief

Use this workflow before automations move from helpful experiments into operating processes that affect customers, records, money, or decisions.

Difficulty

High

Revenue impact

Medium

Operational impact

High

Risk level

High

When it runs

An automation, AI workflow, agent, integration, or scheduled process is proposed, changed, or reviewed.

Evidence in

automation purposedata accessallowed actionssystem permissionsrisk tierhuman approval gatesaudit log requirementsowner and pause plan

What AI prepares

  • automation governance review packet
  • access and action inventory
  • approval gate map
  • audit log checklist
  • risk tier note
  • deployment review task

Decision rules

  1. Define what the automation can access.
  2. Define what it can change or send.
  3. Map approval gates to risk level.
  4. Log inputs, outputs, tool actions, and human approvals.
  5. Name an owner and pause plan before deployment.

Human approval point

Automation owner, business owner, and risk or technical reviewer approve access, actions, review gates, audit logs, monitoring, and pause controls.

What stays human

  • Do not automate governance approval, risk acceptance, access expansion, irreversible actions, or production deployment without owner review.

Quality and stop gates

  • Source evidence is attached
  • Qualified owner review is required
  • Assumptions are visible
  • Stop rules are visible
  • Measurement event is logged

How it is measured

  • Track automations inventoried, controls approved, logging completeness, approval failures, incidents, access changes, and review cadence.

Systems involved

Planning or meeting recordsSource evidenceRisk or governance checklistExecutive review workflow

Workflow Dataset Record

Deployment evidence and duplicate boundary

This section is generated from the enriched workflow dataset. It is designed for pilot planning, not as validated outcome evidence.

Buyer Problem

Automations launch without clear owner, allowed actions, access boundary, human approval gate, logging, pause rule, or audit trail.

Economic Logic

Governance review prevents automation from creating customer, financial, compliance, or operational harm as workflows scale.

Baseline Metric

automation_governance_control_coverage

Share of automations with owner, trigger, allowed actions, system access, human review gate, logging, pause rule, and risk tier.

Source system: Automation inventory, workflow builder, access controls, audit logs, risk review

Minimum Viable Pilot

Duration
30 days
Sample
Top 10 customer-facing or revenue-impacting automations
Owner
Operations, IT, or AI governance owner
Threshold
100% of reviewed automations have owner, access boundary, human gate, log, stop rule, and risk tier.

Unique Workflow Test

Audit top automations for owner, trigger, allowed actions, system access, human review point, logs, pause rule, and risk tier.

Duplicate Guard

Keep separate from AI use case prioritization. Prioritization chooses candidates; governance review controls launch and operating safety.

Not Ready If

  • Automation inventory is missing.
  • Access controls are unknown.
  • Logs or pause rules are unavailable.

Claim level: Pilot-shaped. Sources support workflow mechanics and pilot design unless field evidence is attached.

TL;DR

Automation governance should answer six questions: owner, access, allowed actions, approval gate, audit trail, and pause plan.

What is automation governance review?

Automation governance review is the process of checking an automation’s purpose, data access, allowed actions, permissions, risk tier, human approval gates, logs, monitoring, and pause controls.

Who is this workflow for?

  • Companies deploying AI workflows, agents, internal automations, or customer-facing process automation.
  • Owners who need speed without losing control.
  • Teams that want governance at the workflow level, not just in a policy document.

What breaks in the manual process?

The manual process fails when governance happens after deployment. The automation already has access, actions, and users before anyone can explain who approved what.

How does the AI-enabled process work?

The workflow inventories purpose, access, actions, permissions, risk tier, approval gates, logs, owner, and pause plan. It prepares a governance packet for review.

What does this look like in practice?

Example scenario: A support workflow can summarize tickets and draft replies. The governance review confirms it cannot send replies without approval, logs source tickets and drafts, mirrors user permissions, and has an owner who can pause it.

What decision rules should govern this workflow?

  • Define what the automation can access.
  • Define what it can change or send.
  • Map approval gates to risk level.
  • Log inputs, outputs, tool actions, and human approvals.
  • Name an owner and pause plan before deployment.

What are the implementation steps?

  1. Trigger: An automation is proposed, changed, or reviewed.
  2. Inputs collected: The workflow collects purpose, data access, actions, permissions, risk tier, approval gates, logging requirements, owner, and pause plan.
  3. AI/system action: AI prepares a governance packet, access inventory, approval map, logging checklist, and risk note.
  4. Human review point: Automation, business, and risk/technical owners review controls and deployment status.
  5. Output delivered: Approved governance record is attached to the automation or deployment plan.
  6. Measurement logged: Review date, incidents, access changes, approval failures, and pause events are logged.

Required inputs

  • automation purpose
  • data access
  • allowed actions
  • system permissions
  • risk tier
  • human approval gates
  • audit log requirements
  • owner and pause plan

Expected outputs

  • automation governance review packet
  • access and action inventory
  • approval gate map
  • audit log checklist
  • risk tier note
  • deployment review task

Human review point

Automation owner, business owner, and risk or technical reviewer approve access, actions, review gates, audit logs, monitoring, and pause controls.

Risks and stop rules

  • automation can access too much data
  • actions happen without approval
  • logs are incomplete
  • no one owns the workflow after launch

Stop the workflow when assumptions are not sourced, ownership is unclear, risk or capital decisions are involved, automation controls are incomplete, or final commitments would be made without qualified owner approval.

Best first version

Inventory five automations with owner, data access, allowed actions, approval gates, logs, and pause plan.

Advanced version

Add risk-tiering, control testing, audit sampling, incident review, permission mirroring, and governance refresh cadence.

Related workflows

Measurement plan

Track automations inventoried, controls approved, logging completeness, approval failures, incidents, access changes, and review cadence.

What not to automate

Do not automate governance approval, risk acceptance, access expansion, irreversible actions, or production deployment without owner review.

FAQ

What is automation governance review?

It is the review of an automation’s owner, access, allowed actions, approval gates, audit logs, risk tier, and pause controls.

What can AI prepare?

AI can prepare the governance packet, access inventory, approval map, audit checklist, and risk notes.

What should stay under human review?

Access, actions, approval gates, risk tier, deployment status, and pause controls should stay under business and technical owner review.

What is the simplest first version?

Inventory five automations with owner, data access, allowed actions, approval gates, logs, and pause plan.

How should this workflow be measured?

Measure controls approved, logging completeness, approval failures, incidents, access changes, and review cadence.

Related Workflow Group

AI Workflows for Control And Review

Compare this workflow against nearby operating problems before choosing the first build. The group shows what usually breaks together, what evidence is needed, and where review still matters.

View Workflow Group

Further Reading

AI reporting workflow operating briefs

A field report on turning scattered updates into reviewable operating briefs with source evidence and decisions.

Read Report