Managing
AI Use Cases

AI Governance — Module 2 of 4

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Learning objectives

“As an AI governance professional, I want to learn how to register AI use cases, conduct impact assessments, and manage lifecycle stages in ​ValidMind.”


This second module is part of a four-part series:

AI Governance

Module 2 — Contents

  1. Use case inventories
  2. Risk classification
  3. Impact assessments
  4. Lifecycle stages

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Use case inventories

What is a use case inventory?

A centralized registry of all AI systems and their purposes.

Use case inventories help you:

  • Understand where AI is used
  • Track ownership and accountability
  • Assess aggregate risk exposure
  • Demonstrate governance to regulators

Inventory fields

Configure custom inventory fields for AI governance:

Field type Examples
Classification Risk tier, impact level
Ownership Use case owner, business sponsor
Purpose Intended use, use boundaries
Status Lifecycle stage, approval status

Hands-on: Explore the inventory

  1. Log in to ​ValidMind
  2. Navigate to Model Inventory
  3. Review the columns and filters available
  4. Consider which fields would support your governance needs

Risk classification

Why classify risk?

Risk classification enables proportionate governance.

Higher-risk AI systems receive:

  • More rigorous review
  • Additional documentation requirements
  • Enhanced monitoring
  • Stricter approval gates

Classification schemes

Align your classification to relevant regulations:

Framework Classification levels
EU AI Act Prohibited, high-risk, limited-risk, minimal-risk
Internal Critical, high, medium, low
Tiered Tier 1, Tier 2, Tier 3

Configuring risk tiers

In ​ValidMind, you can:

  1. Add custom fields for risk classification
  2. Configure different workflows per tier
  3. Apply documentation templates by tier
  4. Generate reports filtered by risk level

Impact assessments

Purpose of impact assessments

Impact assessments evaluate potential risks and harms from AI deployment.

They document:

  • Who is affected by the AI system
  • What decisions the AI influences
  • Potential for harm or discrimination
  • Mitigating controls

Impact assessment process

  1. Identify stakeholders — Who does this AI system affect?
  2. Assess impact — What are the potential consequences?
  3. Evaluate risks — What could go wrong?
  4. Document controls — How are risks mitigated?
  5. Review and approve — Governance sign-off

Recording assessments

Use ​ValidMind to:

  • Attach impact assessment documentation
  • Track assessment completion status
  • Route assessments through approval workflows
  • Maintain audit trail of governance decisions

Lifecycle stages

AI governance lifecycle

graph LR
    A[Intake] --> B[Assessment]
    B --> C[Approval]
    C --> D[Deployment]
    D --> E[Monitoring]
    E --> F[Review]
    F --> B

Managing stage transitions

​ValidMind tracks AI systems through their lifecycle:

  • Status fields indicate current stage
  • Workflows control transitions
  • Documentation captures stage requirements
  • Audit trail records all changes

Next steps

Continue to Module 3 to learn about configuring AI workflows.

Module 3: Configuring AI workflows