AI USE-CASE RISK ASSESSMENT TEMPLATE
Assess the workflow, not just the AI vendor.
The same AI tool can be low impact in one workflow and dangerous in another. A useful assessment connects the purpose, people, data, decisions, possible harm, controls, tests, human oversight, evidence, owner, and approval.
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- Qualified review required
FREE BROWSER-LOCAL WORD GENERATOR
Assess one specific AI workflow before it goes live.
Capture the purpose, people, data, output, decisions, harm, controls, tests, evidence, monitoring, and review. BrandQuill does not calculate compliance or approve the use case.
THE PRACTICAL ANSWER
Make each decision narrow, owned, and reviewable.
Write one assessment for one concrete use case. Describe what enters the workflow, what the system does, what leaves it, who may rely on the result, and what could happen when it is wrong. Then assign controls and reviewers based on the actual possible harm. A low score is not approval and cannot override law, contract, customer restrictions, policy, professional duties, or a specialist reviewer.
WHAT THE TEMPLATE SHOULD CAPTURE
The fields that turn a conversation into a decision record.
Use case and accountable owner
Name one specific workflow, its business purpose, expected benefit, owner, operators, reviewers, affected people, and scale.
Tool, model, plan, and integrations
Identify the exact service and configuration, including agents, APIs, plug-ins, connected repositories, identities, and external actions.
Inputs and data classifications
List prompts, files, systems, sources, personal or regulated information, customer restrictions, confidential material, and prohibited data.
Outputs and decisions
Explain what is produced, where it goes, who sees it, what action may follow, and whether it influences a consequential decision.
Possible harm and uncertainty
Consider privacy, security, accuracy, safety, fairness, accessibility, intellectual property, contract, records, operational, and reputation impacts.
Controls and human oversight
Name the reviewers, source checks, test cases, quality thresholds, prohibited outputs, escalation, override authority, and publication controls.
Testing and evidence
Record representative and adversarial tests, results, limitations, approvals, monitoring measures, rollback criteria, and unresolved questions.
Residual risk and decision
Document the remaining risk, decision, conditions, approvers, evidence, expiry, monitoring owner, and triggers for reassessment or retirement.
A WORKABLE PROCESS
Complete the record in four passes.
- 1
Define one real workflow
Describe the users, affected people, inputs, AI action, output, decision or publication point, integrations, and expected benefit without hiding behind a broad project name.
- 2
Screen for material impact
Flag sensitive information, consequential decisions, external reliance, system access, vendor uncertainty, bias, unsafe output, fabricated sources, and any realistic route to harm.
- 3
Design and test controls
Assign human review, least privilege, data limits, source checks, representative tests, adversarial tests, quality thresholds, incident reporting, monitoring, and rollback criteria.
- 4
Record the decision and review cycle
Capture qualified reviews, approval scope, conditions, residual uncertainty, owners, evidence, expiry, change triggers, and the authority to pause or retire the workflow.
COMMON FAILURE MODES
A completed form can still hide the real risk.
- Assessing the vendor in general instead of the exact workflow, people, data, integrations, outputs, and decisions.
- Using a numeric score as if it were approval, without documenting the evidence, uncertainty, controls, reviewers, and residual risk.
- Naming “human in the loop” without defining the review stage, required competence, source checks, override authority, and time available.
- Testing only ideal prompts and clean data while ignoring missing information, restricted requests, adversarial behavior, and tool failures.
- Approving a pilot without monitoring, incident routes, stop criteria, expiry, reassessment triggers, or an accountable owner.
THE COMPLETE OPERATING SET
Use one coordinated toolkit instead of disconnected forms.
The BrandQuill AI Policy Operations Kit includes the editable AI policy, tool approval register, use-case risk assessment, incident report, acknowledgement form, Excel AI governance workbook, implementation guide, and lifetime BrandQuill Solo access.
$19 once
No subscription. Seven-day fit guarantee.See the complete kit →Generate a free AI tool approval request →COMMON QUESTIONS
Use the template for structure, not certainty.
What is an AI use-case risk assessment?
It is a structured record of one proposed workflow: its purpose, users, affected people, tool, data, outputs, decisions, possible harms, controls, tests, reviewers, residual risk, and approval conditions.
How is this different from an AI tool approval register?
The register records whether a specific tool and configuration may be used under defined conditions. The use-case assessment examines a specific workflow and the harm that can arise from its people, data, outputs, decisions, integrations, and operating context.
Is the BrandQuill assessment editable in Microsoft Word?
Yes. The free generator creates a normal editable DOCX assessment with use-case intake, harm screening, controls, human oversight, testing, monitoring, and decision fields.
What is included in the paid kit that is not in the free generator?
The free generator creates one use-case assessment. The $19 AI Policy Operations Kit adds the coordinated living tool register, AI policy, incident report, employee acknowledgement, Excel governance workbook with 30 starter risks and dashboard, implementation guide, and lifetime BrandQuill publishing.
Does a low-risk rating mean the use case is approved?
No. A rating is a prompt for review. It cannot replace an approval decision or override applicable law, contract, customer restrictions, policy, professional duties, or specialist review.
When should an assessment be repeated?
Repeat or re-open it when the purpose, users, affected people, data, tool, model, plan, integrations, outputs, decision impact, vendor terms, controls, incidents, or applicable requirements materially change.