Getting Started on Asenion AI Governance Platform
Purpose
The Asenion AI Governance Platform enables organizations to register AI systems, run policy assessments and assurance tests against them, and produce a full audit trail of who reviewed and approved each record. It is built around a role-based workflow: the right people are assigned to each stage, and every action is logged.
New to the platform? The Quickstart takes you from access to your first governed AI system in one short path. This page goes deeper — it explains the role model and walks through the first-time experience for each role.
Supported Browsers
Asenion AI Governance Platform supports the latest versions of the following web browsers:
- Google Chrome
- Microsoft Edge
- Mozilla Firefox
- Apple Safari
Role Overview
Asenion uses two role dimensions that apply at the same time: a platform role (what you can do across the organization) and a project role (what you can do inside a specific AI system record).
| Role | Level | Tasks |
|---|---|---|
| System Admin | Platform | Set up organizations, manage system-level policies, grant System Admin access to others. |
| Org Admin | Organization | Invite members, assign platform roles, configure global project role slots, import policies. |
| Governance Manager | Organization | Oversee the governance policy library and control bundles across the organization. |
| Compliance Manager | Organization | Manage compliance assessments and policy assignments across the organization. |
| Assurance Manager | Organization | Manage assurance runs, LLM testing, and bias audits across the organization. |
| Audit Manager | Organization | Review and close audit assignments across the organization. |
| Member | Organization | Access projects you are added to; answer assessment controls and submit evidence. |
| Owner | Project | Created the AI system record; manages project members and drives the assessment workflow. |
| Contributor | Project | Answers controls, attaches evidence, and submits assessments for review. |
| Reviewer | Project | Reviews submitted assessments and provides structured feedback before approval. |
| Approver | Project | Approves or rejects reviewed assessments; approval advances the assessment status. |
| Auditor | Project | Conducts independent audits against completed assessments. |
| Viewer | Project | Read-only access to the project, assessments, and reports. |
For the full permissions breakdown, see User Roles and Permissions.
Example Workflows
The three paths below cover the first-time experience for the three basic roles. Each path is independent — start with the one that matches your role.
1. Member — Your First AI System Assessment
As a Member, your experience depends on whether you have been added to an existing project or are starting fresh. Both scenarios are covered below.
Before you begin: you need an Asenion account. If you do not have one yet, ask your Org Admin to invite you to the organization.
Scenario A — You have been added to an existing project as a Contributor
If a project Owner has already added you to their AI system, it will appear in your Projects list.
Scenario B — You have not been added to a project and need to create one
If your Projects list is empty, you can create your own AI system. When you create a project you automatically become its Owner.
2. Org Admin — Setting Up Your Organization
As an Org Admin, your first job is to configure the organization so that Members can be invited and AI systems can be created and governed correctly.
Before you begin: your account must already have the Org Admin platform role. If it does not, ask your System Admin or fellow Organization Admin.
3. System Admin — Platform Setup
As a System Admin, you operate at the platform level — across all organizations. Your first tasks are ensuring organizations are correctly provisioned and that the right people have the right access.
Before you begin: System Admin access can only be granted by another System Admin. If you need it, contact your platform administrator.
Key Benefits
- Audit-ready by design: every action — setup, registration, assessment, review, approval — is logged with a full, timestamped audit trail.
- Role-based accountability: each stage of the workflow is owned by a specific role, so there is no ambiguity about who is responsible for what.
- Flexible governance: policy packs and assurance packs can be tailored to each AI system’s risk level and regulatory context.
- Scalable across teams: global project role slots mean new AI systems are automatically routed to the right reviewers and approvers without manual configuration on every project.