Trustible

Trustible is an AI governance platform from Trustible, an AI-native Public Benefit Corporation headquartered in the Washington DC area. It gives governance and compliance teams a single system of record for AI use cases, models, agents, and vendors, and covers intake, risk assessment, monitoring, and compliance mapping.

What It Is

Trustible is software for tracking, assessing, and overseeing an organization's AI. Governance teams submit AI use cases, models, agents, and vendors through structured intake forms. Automated scoring routes each one to a review track based on risk, and the platform keeps an audit trail of reviewers, rationale, and timestamps. According to the vendor, it is designed for governance and compliance teams and does not require MLOps integration.

How the Workflow Is Organized

The platform is organized into four stages: Intake, Manage Risk, Monitor, and Comply.

• Intake: risk-based triage with customizable workflows.
• Manage Risk: risk and impact assessments, pre-built risk cards, model and vendor evaluations, and mitigation tracking.
• Monitor: AI inventory lifecycle status, internal metrics collection, external regulatory and vendor alerts, and agentic AI observability.
• Comply: controls mapped to frameworks, with audit evidence generated from governance actions.

An in-platform AI assistant answers questions about the inventory, such as which use cases are high risk under the EU AI Act.

Frameworks and Enablement

Trustible maps controls to the EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, and additional state, global, and industry frameworks. The vendor says risk taxonomies and framework mappings are curated by its AI governance experts. It also describes a hands-on 30-60-90 day implementation plan run with customer teams, which covers setting up intake and inventory, activating risk triage, and launching executive reporting.