AI risk assessment template Excel
AI Risk Assessment Template in Excel for Banks and Credit Unions
An AI risk assessment template in Excel helps regulated teams identify AI use, score risk, document evidence, and track remediation without starting from a blank spreadsheet.
Use this page to structure an Excel-based AI risk assessment across vendor risk, model risk, data governance, security, privacy, board reporting, and evidence readiness.
Why use Excel for AI risk assessment?
Many banks, credit unions, and fintechs need a practical starting point before they have a dedicated AI governance platform. An Excel workbook gives risk teams a familiar way to inventory AI use cases, collect vendor and model evidence, score gaps, and assign remediation owners.
The goal is not to make the spreadsheet the control environment. The goal is to make AI risk visible enough that teams can decide what needs policy review, vendor due diligence, model risk review, board reporting, or evidence collection.
A useful AI risk assessment template should help teams move from informal AI discussions to a documented file that can be reviewed by compliance, audit, management, and the board.
What the workbook should cover
An AI risk assessment workbook should connect AI use cases to the controls that matter most for regulated institutions: ownership, approval, vendor review, model risk governance, data practices, privacy, security, consumer impact, monitoring, reporting, and remediation.
For vendor AI, the workbook should capture due diligence responses, evidence gaps, contract issues, monitoring requirements, and risk-tiering decisions. For internal or model-driven AI, it should capture intended use, validation status, data sources, performance monitoring, limitations, change history, and issue tracking.
- AI use case inventory
- Vendor and third-party AI review
- Model risk and validation status
- Data, privacy, and security evidence
- Risk scoring and gap prioritization
- Remediation owner and due-date tracking
How to use the template
Start by listing AI-enabled tools, vendor products, pilots, automated decisioning systems, analytics models, fraud tools, customer service systems, and employee productivity tools. Include systems where AI is embedded inside a vendor platform.
Next, classify each item by risk. Customer-impacting, credit, fraud, AML, cybersecurity, compliance monitoring, regulatory reporting, and critical operations use cases should receive deeper review than low-risk drafting or internal productivity uses.
Finally, convert missing or partial answers into remediation work. A good workbook should make it clear who owns the gap, what evidence is required, when the item is due, and where it will be reported.
AI risk assessment template preview
These workbook sections are the core tabs and fields most teams need when turning AI risk into a documented assessment file.
- 1Inventory each AI use case, vendor tool, pilot, and embedded AI feature.
- 2Assign a business owner and a risk or control owner for each AI item.
- 3Classify whether the AI supports customer decisions, controls, reporting, or critical operations.
- 4Identify whether the AI is internally developed, vendor-provided, or embedded in a third-party platform.
- 5Document intended use, limitations, prohibited uses, and approval status.
- 6Record data inputs, sensitive data exposure, retention, and vendor data-use restrictions.
- 7Capture model documentation, validation evidence, monitoring metrics, and change-management status.
- 8Score vendor, model, data, security, consumer-impact, and evidence gaps.
- 9Prioritize high-risk gaps for management, committee, or board reporting.
- 10Track remediation owners, due dates, status, and supporting evidence links.
Download AI governance Excel templates
The Starter Kit and template store include Excel workbooks for vendor AI diligence, control mapping, implementation tracking, and evidence readiness. Use them to document scores, responses, evidence, and remediation activity.
FAQ
What should an AI risk assessment template in Excel include?
It should include an AI use case inventory, risk tiering fields, vendor and model risk questions, response scoring, evidence prompts, remediation owners, due dates, and status tracking.
Is an Excel AI risk assessment template enough for compliance?
No. A spreadsheet can organize evidence and support internal review, but it does not determine compliance or replace legal, audit, supervisory, privacy, security, or model validation review.
Who should complete the assessment?
The assessment usually requires input from business owners, compliance, risk, vendor management, information security, privacy, model risk, legal, and internal audit depending on the use case.
How often should the template be refreshed?
Refresh it during onboarding, annual or periodic review, material vendor changes, model updates, new data sources, expanded use cases, and before board, audit, or examiner review.
Turn AI risk questions into a working spreadsheet.
Start with your AI governance score, then use Excel templates to document vendor reviews, model risk evidence, scoring, and remediation ownership.
Important limitation
This resource is for informational and educational purposes only. It does not constitute legal, regulatory, audit, supervisory, model validation, privacy, security, or compliance advice. Institutions should consult qualified counsel and risk, compliance, audit, privacy, security, and model risk professionals regarding their specific obligations.
- Use spreadsheet fields for repeatable review.
- Keep scoring separate from final approval decisions.
- Document evidence for each material gap.
- Refresh the workbook after material AI changes.