Documentation
Guides for modeling, governing, and operating AI systems with Model Monster.
- Create, Archive, Unarchive, and Delete Systems Create, archive, restore, and permanently delete systems while understanding each lifecycle choice.
- Review and release a system version Submit a Draft system version for review, record reviewer decisions, and verify the released signoff record.
- Review a System's Audit Log Inspect a system's recorded activity, read event context, and narrow the timeline with search and filters.
- System Workspace and Blueprint Navigate a system workspace, interpret its governance Blueprint, maintain general settings, and choose the right detailed guide.
- Modeling resources and operations Inventory, add, and maintain resources, then model component-resource interactions with accurate operations and directions.
- Modeling components in a System Blueprint Choose useful component boundaries, add reusable definitions to a System Blueprint, and maintain component details and connections.
Governance Approach
Learn the concepts behind Model Monster's approach to AI governance.
- CORE: A Blueprint for AI Governance Learn how CORE maps an AI system's components, operations, resources, and execution into a shared System Blueprint for governance
- PRO: Turning System Evidence into Governance Learn how PRO brings policies, risk, and outcomes together to turn system evidence and context into reviewable governance work.