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.
Related Field Report
- AI reporting workflow operating briefs: A field report on turning scattered updates into reviewable operating briefs with source evidence and decisions.
Quick Answer
An AI workflow for automation governance review inventories what an automation can access, what it can change, who owns it, what requires approval, what is logged, and how it can be paused. Business, risk, and technical owners approve governance before deployment.
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
- AI Workflow for AI Use Case Prioritization
- AI Workflow for Risk Review Preparation
- AI Workflow for Vendor Evaluation
- AI Workflow for Executive Decision Briefs
- AI Workflow for Meeting Decision Logs
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.