User guideGetting startedQuick start guide
Getting started

Quick start guide

Get your first project configured in under 10 minutes.

Time to complete: Under 10 minutes

What you'll have at the end

By the end of this guide, you'll have created an AI use case, attached a compliance framework to it, reviewed the generated controls and uploaded your first piece of evidence. That's enough to see your compliance percentage on the dashboard.

  • Create an AI use case
  • Attach a compliance framework (EU AI Act, ISO 42001, etc.)
  • Browse the controls that get generated
  • Upload evidence to the evidence hub
  • See progress reflected on the dashboard

Step 1: Create a use case

A use case represents one AI system you want to govern. It gets its own risk register, framework tracking and evidence collection. You can have as many as you need.

  1. From the dashboard, open the "Add new" dropdown and select "Use case"
  2. Fill in the name (e.g., "Customer Support Chatbot"), owner, start date and geography
  3. Select the applicable regulations and AI risk classification
  4. Add a brief goal and description, then click "Create"
Create new use case modal showing fields for title, owner, start date, geography, applicable regulations, AI risk classification, goal, and description
The create use case form captures the key attributes of your AI system.
Naming tip
Pick a name that your colleagues will recognize. This shows up on the dashboard, in reports and in the sidebar, so "Internal HR Screening Tool" is better than "Project Alpha".

Step 2: Attach a compliance framework

Frameworks define what requirements you need to satisfy. When you attach one, VerifyWise generates the full set of controls and sub-controls for you to work through.

EU AI Act

European AI regulation for high-risk systems

ISO 42001

AI management system standard

ISO 27001

Information security management

NIST AI RMF

US AI risk management framework

  1. Click into your new use case from the dashboard or sidebar (Inventory → Use cases)
  2. Open the "Frameworks/regulations" tab
  3. Click "Add framework" and select the one that applies
  4. The controls and sub-controls populate automatically

Step 3: Review your controls

Controls are the individual requirements from your framework. Each one has sub-controls with specific implementation criteria. You don't need to complete them all now; just get familiar with the structure.

  1. Stay on the "Frameworks/regulations" tab in your use case
  2. Click into any framework to see its controls grouped by category
  3. Click a control to expand its sub-controls and detailed requirements
  4. Update status as you work (Not started → In progress → Implemented)

Step 4: Upload evidence

Evidence is anything that proves you've implemented a control: policy documents, test results, screenshots, signed approvals, data processing agreements.

  1. In the sidebar, go to Assurance → Evidence
  2. Click "Upload evidence"
  3. Select a file (PDF, DOCX, images, etc.) and give it a title
  4. Add a description of what this file demonstrates
  5. Link it to the relevant control(s) and click "Save"
Start with what you have
You probably already have documents that count as evidence: existing policies, vendor contracts, data processing agreements, model cards. Upload those first rather than creating new ones from scratch.

Step 5: Check your progress

Go back to the dashboard. Your use case now shows a compliance percentage based on how many controls you've addressed. Click into the use case to see the full breakdown on the Overview tab.

The use case overview shows

  • •Compliance percentage, which increases as you implement controls
  • •Risk summary with counts by severity level
  • •Framework progress per attached framework
Use case overview page showing owner, status, EU AI Act completion progress, and risk summary cards
The Overview tab inside a use case shows your compliance progress and risk posture.

What to do next

You've got the basics in place. Here are good next steps depending on where you want to focus:

  • Link models: Go to the "Linked models" tab in your use case to associate specific AI models
  • Add risks: Use the "Use case risks" tab to document what could go wrong and how you plan to handle it
  • Invite your team: Go to Settings → User management to add colleagues with appropriate roles
  • Track vendors: If you use third-party AI services, register them under Governance → Vendors
  • Write policies: Document your internal AI policies under Governance → Policy manager
You're set up
Governance isn't something you finish in a day. The point of VerifyWise is to track progress over time, so work through it at whatever pace makes sense for your team.
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Quick start guide - Getting started - VerifyWise User Guide