Function: Executive decision support
AI Workflow for Risk Review Preparation
Deployment Brief
Use this workflow when risks need to be explicit enough for a real decision, not just listed in a note.
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 risk review preparation assembles risk statements, source evidence, likelihood, impact, owner, controls, mitigation, residual risk, and decision needed into a review packet. The risk owner approves scoring and acceptance.
TL;DR
Risk review is useful only when it names the evidence, owner, mitigation, and decision needed.
What is risk review preparation?
Risk review preparation is the process of assembling a structured packet that explains a risk, its evidence, likelihood, impact, controls, mitigation, residual risk, and decision needed.
Who is this workflow for?
- Leadership teams, operations owners, compliance reviewers, project teams, and companies deploying AI workflows.
- Teams that need risk context before approval.
- Owners who want risk discussions to end with a clear decision.
What breaks in the manual process?
The manual process fails when risks are listed but not evaluated. The team agrees something is risky, but nobody owns the mitigation or acceptance decision.
How does the AI-enabled process work?
The workflow gathers source evidence, current controls, impact notes, mitigation options, owner, and criteria. It prepares a risk packet for human review.
What does this look like in practice?
Example scenario: A proposed support automation could send customer replies. The workflow documents data access, customer impact, approval gate, logging, and residual risk, then routes the packet to the business and risk owners.
What decision rules should govern this workflow?
- State the risk as a clear event and consequence.
- Attach evidence and assumptions.
- Separate inherent risk from residual risk.
- Assign one owner for mitigation.
- Require approval for risk acceptance.
What are the implementation steps?
1. Trigger: A topic needs risk review. 2. Inputs collected: The workflow collects risk topic, evidence, affected process, likelihood, impact, controls, mitigation, owner, and acceptance criteria. 3. AI/system action: AI prepares a risk packet, register entry, evidence list, mitigation summary, and residual risk note. 4. Human review point: Risk owner reviews scoring, mitigation, escalation, and acceptance. 5. Output delivered: Approved risk decision is logged and routed to the relevant plan or governance record. 6. Measurement logged: Risk status, owner actions, review date, and residual risk changes are logged.
Required inputs
- risk topic
- source evidence
- affected process
- likelihood and impact notes
- current controls
- proposed mitigation
- owner and escalation path
- decision or acceptance criteria
Expected outputs
- risk review packet
- risk register entry
- evidence list
- mitigation and control summary
- residual risk note
- review task for owner
Human review point
Risk owner or executive reviews risk statement, scoring, evidence, mitigation, residual risk, escalation, and acceptance decision.
Risks and stop rules
- AI assigns risk scores without authority
- mitigation is described but not owned
- residual risk is ignored
- evidence is too thin for acceptance
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
Prepare a risk table for one decision with evidence, likelihood, impact, owner, mitigation, and decision needed.
Advanced version
Add risk register updates, control testing, recurring review cadence, incident links, and governance reporting.
Related workflows
- AI Workflow for Automation Governance Review
- AI Workflow for Executive Decision Briefs
- AI Workflow for Vendor Evaluation
- AI Workflow for Investment Memo Drafting
- AI Workflow for Customer Risk Review
Measurement plan
Track risks reviewed, mitigations assigned, decisions made, overdue reviews, residual risk changes, and incidents.
What not to automate
Do not automate risk scores, mitigation approval, risk acceptance, legal conclusions, or deployment approvals without owner review.
FAQ
What is risk review preparation?
It is the process of preparing evidence, scoring, mitigation, owner, residual risk, and decision context for a risk review.
What can AI prepare?
AI can prepare risk packets, evidence lists, mitigation summaries, register entries, and review prompts.
What should stay under human review?
Risk scoring, mitigation approval, residual risk, escalation, and acceptance should stay under risk owner review.
What is the simplest first version?
Prepare a risk table for one decision with evidence, likelihood, impact, owner, mitigation, and decision needed.
How should this workflow be measured?
Measure risks reviewed, mitigations assigned, decisions made, overdue reviews, and residual risk changes.