AI Risk Register Template for Project Managers

A downloadable AI risk register template for project managers. Adds AI-specific risk categories your standard RAID log is missing: model drift, hallucination, data provenance, and vendor instability.

AI Governance for Project Managers

AI Risk Register Template for Project Managers

Your current risk register doesn’t have rows for hallucination, model drift, or vendor deprecation. This template adds them.

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For project managersFor PMO leadersFor inherited AI systemsFor audit readiness
AI Risk Register5 AI-specific categories
Risk IDCategoryDescriptionLIOwner
AI-001Model outputHallucination in customer responseMHPM
AI-002DataPII without documented consentLHData Lead
AI-003GovernanceNo authorization documentedHHPM
AI-004VendorAPI deprecation riskMHEng Lead
Full template includes 5 risk categories, scoring guide, and quarterly review checklist
What This Helps You Do
Document AI failure modes in PM-ready categories
Hallucination, drift, vendor deprecation — categories your standard register doesn’t have.
Track owners and review deadlines
Each risk has a named owner and a next review date, not just a description.
Show evidence of risk management to auditors
Auditors and legal ask for this. This template produces it.
Run quarterly reviews without starting over
Structure that makes quarterly reviews fast and makes gaps easy to spot.
Direct Answer

AI Risk Register Template for Project Managers

The AI Risk Register Template for Project Managers adds the AI-specific risk columns that standard RAID logs are missing. A standard risk register tracks likelihood, impact, and mitigation — but doesn't capture AI-specific factors like model drift, hallucination, data provenance, or vendor instability. This template extends the standard RAID log structure with six AI risk categories, so project managers can track AI risks alongside conventional project risks in one register.

Standard project risk registers capture scope, schedule, and budget risks. They assume a deterministic system — one that behaves predictably. AI systems introduce failure modes that standard templates don’t have categories for: model outputs that shift as the underlying model is updated; training data that includes undocumented PII; a vendor who deprecates the API version your system depends on; model performance that degrades over 90 days with no alert triggered.

This template doesn’t replace your existing risk register. It adds five AI-specific risk categories alongside your current process, so your risk documentation reflects the actual failure landscape of AI-enabled projects.


Template Preview — 5 Example Rows

AI Risk Register — Column Structure and Examples

Risk IDCategoryDescriptionLIOwnerMitigationReview
AI-001Model outputHallucination in automated customer responseMHPMHuman review gate on all customer-facing outputsQuarterly
AI-002DataTraining data includes PII without consent docsLHData LeadAudit data provenance; obtain or remove records30 days
AI-003GovernanceNo documented authorization for model deploymentHHPMComplete Authorization Stack; log approvalImmediate
AI-004VendorPrimary model provider deprecates API versionMHEng LeadIdentify alternatives; document migration pathQuarterly
AI-005DriftModel performance degrades after 90-day shiftMMPMImplement quality monitoring; set accuracy alertMonthly

H = High  ·  M = Medium  ·  L = Low  ·  Scroll right on mobile

Download the Editable Risk Register Template

The full template — with all five AI-specific risk categories, column definitions, likelihood and impact scoring guidance, and quarterly review checklist — is in the AI Governance Starter Kit.

  • AI Governance Checklist — 25 items across 5 sections
  • AI Risk Register Template — 5 AI-specific risk categories
  • AI Decision Log Template — 5-field entry structure
  • AI Governance Framework Template — 5-section policy structure
  • AI Risk Assessment Checklist — 20 items, 4 categories

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The risk categories in this template are drawn from the accountability framework in Authorizing the Machine — a practical guide to AI accountability for project managers. Coming soon.

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