Organization Overview

An organization is the workspace boundary in Modulos. It defines who can access the platform, which shared libraries exist, and which defaults apply across AI Systems.

What this is

Organizations let you scale governance without losing consistency:

• teams share the same language for risk and compliance
• leadership sees portfolio-level signals across AI Systems
• changes are governed centrally while execution happens in AI Systems

Where in Modulos

Most organization configuration is managed by organization admins, but viewable by regular members.

• Organization → Users to view members, invites, and roles
• Organization → Settings to view organization-wide defaults like currency and language

Organization-scoped configuration that impacts AI Systems is documented in its feature areas:

• Risk quantification setup: Risk Operating Model
• Framework setup and mapping: Frameworks in Modulos

Who can do what

Permissions

• Organization Admins manage organization settings and user access.
• Organization Members can typically view organization settings and membership, but cannot change them.
• Organization Risk Managers maintain risk quantification structure across the organization, such as taxonomy and budgets, and support teams running quantification in AI Systems.
• Organization Policy Managers review, approve, and publish policy versions in Policy Center.

Organization roles do not automatically grant AI System access. Work inside an AI System is governed through AI System roles.

How it works

Organizations provide shared structure that AI Systems build on:

• People: membership and organization roles
• Defaults: currency and language preferences used across the UI and exports
• Shared libraries: organization-level risk taxonomy and budgets used for risk quantification rollups
• AI Systems: where frameworks, Controls, Evidence, and quantification runs are executed

Organization

Three sublayers of context, propagated to every project.

People

Members

Organization roles

Defaults

Currency

Language

Shared libraries

Risk taxonomy

Risk budgets

Framework templates

Projects

Where execution happens

Each project inherits members, defaults, and libraries from the organization. Governance work runs here.

Frameworks & controls

Evidence & reviews

Risk threats & runs

Inherits all

Organizations define shared structure and defaults; projects are where governance work is executed.

AI Systems inherit organization defaults and rely on shared libraries for consistency, while still allowing scope and ownership specific to each AI System.

How to use it

1

Confirm defaults

Set currency and language before scaling AI Systems

2

Add the right people

Invite users and assign organization and AI System roles

3

Establish shared structure

Define risk quantification taxonomy and budgets at the organization level

4

Execute in AI Systems

Apply frameworks, implement Controls, attach Evidence, and quantify risk threats

Important considerations

• Organization defaults matter most early; changing currency later does not retro-convert historical values.
• Separation of duties improves audit readiness: where possible, the people who implement Controls should not be the ones who review and fulfill the Requirements those Controls support.
• If you can’t access an organization page, you likely don’t have the required organization role.

Related pages

Settings

Organization-wide defaults like currency and language

User Management

Invite users, assign roles, and enforce separation of duties

Portfolio Overview

Portfolio rollups and budgets for risk quantification

Operating Model

Where to do what in risk quantification and who can do it