Free Template · Governance Reporting
AI Governance
Reporting Template
A comprehensive monthly reporting template for AI governance teams. Covers tool inventory, security incidents, compliance status, training metrics, risk dashboard, and executive recommendations.
6 sections
complete report coverage
Monthly
recommended cadence
3 frameworks
EU AI Act, ISO 42001, NIST
Free
to use and customise
Why Your AI Governance Programme Needs Monthly Reporting
Most organisations have AI governance policies on paper but lack the operational reporting to demonstrate that their programme is working. Monthly governance reports are the evidence layer that regulators, auditors, and boards require, and the operational feedback loop that keeps your AI programme improving.
EU AI Act
Requires documented governance evidence
High-risk AI system deployers must demonstrate ongoing monitoring and governance. Monthly reports are your evidence trail.
ISO 42001
Management review requires performance data
ISO 42001 Clause 9 requires regular monitoring and measurement of your AI management system, reports are the mechanism.
78%
Of AI incidents go unreported internally
Without structured monthly reporting, AI security incidents go untracked and unresolved, compounding risk over time.
Board
Needs visibility of AI risk
Boards are increasingly held accountable for AI governance failures. Monthly reports enable informed board oversight.
The Report Template
Click each section to expand the template content. Replace bracketed placeholders with your organisation's data each month.
Reporting Period: [Month Year] | Prepared by: [AI Governance Lead] | Distribution: AI Steering Committee, CISO, DPO
[##]
Active AI Tools
[##]
Open Incidents
[##]%
Training Overdue
[##]%
Compliance Score
Top 3 Risks This Month
- [Risk 1, e.g. Shadow AI adoption in Finance department increased 22% MoM]
- [Risk 2, e.g. 3 data leakage incidents via ChatGPT remain unresolved]
- [Risk 3, e.g. EU AI Act high-risk classification deadline in 6 weeks]
Recommended Actions for Leadership
- [Action 1, e.g. Approve Q3 AI security training budget to address overdue completions]
- [Action 2, e.g. Mandate Finance department AI tool audit by [date]]
- [Action 3, e.g. Sign off on EU AI Act high-risk assessment for [system name]]
How to Produce Your Monthly Governance Report
Follow these five steps to establish a repeatable monthly reporting process that your governance team can execute efficiently each month.
1
Set your data collection sources
Identify where each report metric comes from: tool inventory from your CASB or Workforce AI Security platform, incidents from your SIEM or ticketing system, training data from your LMS, and compliance status from your GRC tool or tracking spreadsheet.
2
Assign section owners
Each section of the report should have a named owner responsible for populating it before the reporting deadline. Typically: tool inventory to IT Security, incidents to the SOC or CISO office, compliance to the DPO or Compliance team, and training to HR.
3
Agree a production timeline
Set a firm cut-off date (e.g. 3rd business day of the new month) and a distribution date (e.g. 5th business day). Build in one working day for the Governance Lead to review, quality-check, and add the executive summary and recommendations.
4
Review and validate before distribution
Before distributing, verify that all incident data is accurate and appropriately redacted, that compliance percentages reflect the current period, and that the executive summary is consistent with the detail sections. A factual error in a board-level report damages credibility.
5
Store reports in your governance record
Maintain a version-controlled archive of all monthly reports. Auditors and regulators may request historical governance reports to demonstrate that your AI governance programme is operational and improving over time, not just documented on paper.
FAQ
Frequently Asked Questions
What should an AI governance report include?
A monthly AI governance report should include: an executive summary with key metrics and top risks; an AI tool inventory update showing new approvals, shadow AI detections, and decommissions; a security incident summary categorised by type with resolution status; a compliance and regulatory status update covering EU AI Act, ISO 42001, and any open audit findings; training and awareness completion rates by department; and a risk dashboard showing the top AI risks with likelihood and impact ratings. The report should be concise enough for executive consumption while providing sufficient detail for the governance team.
How often should AI governance reports be produced?
Monthly reporting is the standard cadence for operational AI governance metrics such as tool inventory changes, security incidents, and training completion rates. Quarterly reports are appropriate for strategic metrics such as compliance programme progress and risk posture trends. Annual reports are required for board-level AI governance disclosures under some regulatory frameworks. High-risk AI deployments may warrant weekly incident summaries during initial rollout. The key is consistency: irregular reporting makes it impossible to identify trends or demonstrate continuous improvement to auditors.
Who should receive the AI governance report?
Distribution should be tiered by report type. The full monthly report should go to the AI Steering Committee, CISO, DPO, and relevant business unit heads. A condensed executive summary should go to the CEO and board. For regulated industries, the Head of Compliance or Chief Risk Officer should also receive the compliance section. Consider which sections contain sensitive security information and whether any redaction is required before distribution outside the security team.
How does AI governance reporting differ from standard IT risk reporting?
AI governance reporting has several dimensions not covered by traditional IT risk reporting. It must track shadow AI adoption, employees using AI tools without IT approval, which requires visibility beyond the corporate network. It must report on AI-specific risk categories such as data leakage via generative AI prompts, prompt injection attacks, and AI model supply chain risks. It must also track regulatory compliance with AI-specific frameworks like the EU AI Act and ISO 42001. Finally, AI governance reporting should include training and culture metrics, since AI misuse is primarily a human behaviour risk.
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Automate Your Governance Report Data Collection
Manually populating this template takes hours each month. Aona automatically collects the data for every section, tool inventory, incident logs, training completion rates, and compliance status, so your governance report is populated in minutes, not days.