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Executive guide

How to Build an Enterprise AI Inventory That Stays Current

A practical guide to moving beyond spreadsheets toward a canonical AI estate and system of record.

CAIO · CIO · Risk · Procurement5 operating steps
01

Define what counts as AI

Include internally built models, external APIs, AI-enabled SaaS, agents, embedded features, decision systems and material supplier AI.

02

Use multiple discovery sources

Combine intake, procurement, cloud/provider records, supplier data, identity/workspace sources and targeted discovery rather than relying on self-reporting alone.

03

Create accountable identities

Every material system needs a stable identifier, owner, purpose, lifecycle state and provider/model relationships.

04

Link the inventory to decisions

An inventory becomes operational when authorisations, risks, controls, evidence, cost and contracts attach to the same AI system record.

05

Treat discovery as continuous

AI inventory is a living operating process because suppliers, models, agents and embedded capabilities change continuously.

Implementation note

This guide provides an operating structure. The specific controls, authorities, legal interpretations and assurance requirements should be adapted to the institution, use case and jurisdiction.

From guidance to operating control

Put this operating model into practice.

Cybatar connects AI inventory, policy, accountable decisions, evidence, assurance and economics so governance can operate continuously rather than live in disconnected documents.