Configuring
AI Workflows

AI Governance — Module 3 of 4

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Learning objectives

“As an administrator, I want to configure workflows that support AI governance — including intake, approvals, human oversight, and escalation paths.”


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

AI Governance

Module 3 — Contents

  1. Intake workflows
  2. Approval workflows
  3. Human oversight controls
  4. Escalations

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Intake workflows

What is an intake workflow?

Intake workflows control how new AI systems enter your governance program. They ensure:

  All AI systems are registered

  Required information is captured

  Initial classification is performed

  Ownership is assigned

Configuring intake

In ​ValidMind:

  1. Define required fields for registration
  2. Set up validation rules
  3. Configure automatic notifications
  4. Route new registrations for review

Example: Risk classification workflow

A screenshot showing a Risk Classification Workflow with model stage changes, user actions, approvals, and condition branches for different risk levels

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Risk classification workflow steps

This example intake workflow demonstrates key AI governance patterns:

  • Model Stage Change — Sets model stage to In Risk Classification
  • User Action v2 — Collects risk classification materials with deadline
  • Broadcast — Notifies stakeholders of pending risk rating
  • Approval — Routes to Model Validation Governance for review
  • Condition Branch — Different paths for High Risk, Medium Risk, or Default

Approval workflows

Purpose of approval workflows

Approval workflows ensure AI systems receive appropriate review before deployment. They implement:

  Risk-based approval gates

  Multiple approver requirements

  Segregation of duties

  Documented decision-making

Designing approval flows

Consider these design principles:

Risk level Approval requirements
High-risk Multiple approvers, governance committee
Medium-risk Manager + compliance review
Low-risk Single approver

Configuring approvals

​ValidMind supports:

  • Workflow states and transitions
  • Role-based approval authorities
  • Sequential and parallel approvals
  • Approval deadline tracking

A screenshot showing approval step configuration with role selection in the workflow builder

Approval step configuration

Human oversight controls

Regulatory context

The EU AI Act (Article 14) requires human oversight** for high-risk AI systems. Human oversight includes:

  Ability to understand AI outputs

  Capability to intervene

  Authority to override decisions

  Mechanisms for feedback

Implementing oversight

Use ​ValidMind to document and enforce oversight:

  • Record oversight requirements in documentation
  • Configure review workflows for AI outputs
  • Track intervention decisions
  • Maintain evidence of human involvement

Review workflows

Set up periodic review workflows:

  1. Define review frequency by risk tier
  2. Configure reviewer assignments
  3. Track review completion
  4. Escalate overdue reviews

Escalations

Escalation paths

Configure escalations for:

  Overdue approvals

  High-risk validation issues

  Policy violations

  Compliance incidents

Escalation ensures issues reach appropriate decision-makers.

Next steps

Continue to Module 4 to learn about compliance and oversight.

Module 4: Compliance and oversight