Quickstart

Register your first AI System, complete one Control, and generate an audit-ready snapshot.

First time setting up?

If this is a new organization, complete First Steps first to configure your organization description, AI System context, and risk limits. This ensures Scout has the context it needs and risk quantification is unblocked.

Prerequisites

• A Modulos account
• Access to an organization workspace
• Permission to register AI Systems (or an existing AI System you can edit)

If you’re joining an existing team

If you don’t have permission to register an AI System, start at Step 3 inside an existing AI System.

Step 1: Log in

Go to app.modulos.ai and sign in. Your account belongs to one organization, so you land in your workspace directly.

Questions along the way? Ask Scout

Scout, the AI assistant built into the platform, answers questions about AI governance ("What does the EU AI Act require for my system?") and about the platform itself ("Where do I attach Evidence?"). Open it from the Scout button in the page header of any AI System page, including the registration wizard.

Step 2: Register your first AI System

1. In the sidebar, open AI Registry.
2. Click New AI System, enter a name, add a second owner if you can, and click Create. The AI System is saved as a Draft and the wizard opens.
3. Enter the Intended Purpose (what the system does, who uses it, and what it decides or produces) and the Current State (Proposed, Pilot, or Already in use). Add a short description of the technology and deployment. Continue.
4. Select where the system runs (Internal, Employee-facing, Customer-facing, Embedded in product) and answer whether the EU AI Act applies; on Yes, set Product Category and Role. Connect Sources or upload Evidence if you have them ready. Continue.
5. Confirm the suggested frameworks. You can start with a single framework and expand later. Click Create AI System; the AI System opens on its Overview.
6. Add Editors for the day-to-day work in AI System → Settings → User Access.

Best practice

Keep your first AI System narrow (one deployed system or one use case). It’s easier to build repeatable governance patterns from a focused baseline.

Learn more: Register an AI System

Step 3: Open a Control and assign ownership

1. In your AI System, go to Controls (or start from Requirements and open a mapped Control).
2. Pick one Control that is clearly applicable to your system.
3. Assign an owner (typically yourself for the quickstart).

Use Scout as you go (recommended)

If Scout is enabled for your organization, use it to accelerate this quickstart. Scout can reference your AI System context (Controls, Requirements, Evidence) and can use connected Connectors (user accounts) and Sources (service accounts attached to the AI System) when available.

Example prompts:

• “Summarize what this Control requires and list the concrete implementation steps for our system.”
• “Draft an initial Control report outline and suggest the Evidence we should attach.”
• “What existing Evidence in this AI System could support this Control, and what’s missing?”

Learn more: Controls

Step 4: Add a report and attach Evidence

1. Write a short Control report describing how your organization implements the Control (1–3 paragraphs is enough for a first pass).
2. Upload or link Evidence that supports the report (policy, screenshot, export, log sample, test result). After an upload, the Evidence Agent analyzes the files and suggests a title, summary, and matching Controls.
3. Ensure the Evidence clearly answers: what it is, what it proves, and for which timeframe.

Evidence should be audit-ready

Prefer Evidence that is stable and reproducible (versioned documents, system exports, signed policies) over informal screenshots without context.

Learn more: Evidence

Step 5: Complete the Control and fulfill the Requirement

1. Change the Control's status (typically to Executed). You confirm the change with a comment, which is logged in the Control's Comments and Logs.
2. When all Controls linked to a Requirement reach a final status, the Requirement is marked ready for review.
3. The Requirement Owner reviews the completed Controls and marks the Requirement as Fulfilled.

Learn more: Reviews & Statuses

Step 6: Export an audit snapshot

1. Open the AI System dashboard.
2. Export a PDF snapshot of the AI System to share internally or with auditors.

Learn more: Reports & Exports

Next steps

Core Concepts10 min

Learn the platform model and workflows

Risk Quantification

Quantify risk in monetary terms

Runtime Inspection

Connect Sources and track results over time

Scout

Ask questions grounded in your AI System context

Frameworks Overview

Apply EU AI Act, ISO 42001, NIST AI RMF, and more

From Zero to Audit-Ready

Full end-to-end workflow walkthrough