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Know What AI Exists Before You Try to Govern It

Build a single, trusted view of every AI use case, model, agent, and vendor across your organization, so governance decisions are based on facts, not assumptions.
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What Is an AI Inventory?

An AI inventory is a centralized record of all AI use cases, models, agents, and third-party vendors in use across an organization. It captures ownership, business purpose, risk context, and governance status, forming the foundation for AI oversight, risk management, and regulatory compliance.

The AI Inventory Problem

Most organizations don’t actually know how and where AI is being used:
  • AI use cases emerge inside business tools, products, and vendors
  • Ownership and accountability are unclear
  • Documentation is scattered across documents, spreadsheets, and wikis
  • Risk and compliance reviews happen too late, often after AI is already deployed
Without a faster path through intake, AI adoption stalls and governance becomes the bottleneck it was meant to prevent.

How Trustible Helps You Inventory All AI

Centralized Visibility Across Internal and External AI

Trustible brings internal use cases, models, AI agents, and third-party AI vendors into a single, structured system. See what AI exists, who owns it, how it’s used, and where oversight is required.

Expert-Informed Templates That Accelerate Discovery

Trustible includes predefined templates for common AI use cases and vendors, informed by governance best practices and the platform’s risk intelligence. Teams capture consistent information without starting from a blank form.

Inventory Built Directly from Intake

Trustible automatically adds new AI use cases to the inventory as they move through intake and review workflows. The inventory stays current as adoption grows, without manual updates or periodic audits.

Ownership, Status, and Governance Context

Each record captures ownership, review status, risk classification, assessments, and governance history. Teams can quickly see which AI systems are approved, under review, or require follow-up.

A Foundation for Every Downstream Governance Activity

Expand inventory coverage across teams and third parties with reporting and executive visibility.

Platform Capabilities Supporting AI Inventory

Centralized AI Inventory

A single, structured record of all AI use cases, models, agents, and vendors.

Intake-Driven Population

Automatically create and update inventory records as AI use cases move through intake and review.

Ownership and Accountability

Assign clear owners and reviewers to every AI system.

Governance Status Tracking

See which AI systems are approved, under review, conditionally approved, or require follow-up.

Risk and Assessment Linkage

Connect each record to risk classifications, impact assessments, mitigations, and review outcomes.

Policy and Compliance Alignment

Associate AI systems with relevant internal policies, regulatory requirements, and reporting views.

Measurable Outcomes from Inventorying All AI

Organizations that build a structured AI inventory with Trustible gain the foundation for every governance decision that follows. On average, customers approve 4X more AI use cases and achieve 100% audit-ready documentation, because every use case is tracked, assessed, and governed from the start.
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Your First 90 Days of Inventorying AI

30 Days

60 Days

90 Days

Day 30: Establish Baseline Visibility

Stand up a centralized AI inventory, apply pre-built templates, and capture initial use cases and vendors.

Day 60: Connect Inventory to Governance

Link inventory records to intake workflows, ownership, and risk context so new AI is captured automatically.

Day 90: Scale and Operationalize

Expand inventory coverage across teams and third parties with reporting and executive visibility.

Inventory All AI FAQs

How is an AI inventory different from asset management tools?
An AI inventory captures governance-relevant information like purpose, risk context, and review status, not just technical assets.
Yes. Trustible inventories both internal AI and AI embedded in third-party products and services.
Most teams establish an initial inventory within 30 days using templates and intake-driven workflows.
Regulators increasingly expect organizations to know what AI they use and how it’s governed. The EU AI Act, NIST AI RMF, and ISO 42001 all assume organizations maintain an accurate AI inventory as a baseline for compliance.