Skip to content
Executive guide

How to Govern AI Procurement Before Vendor Dependency Sets In

A procurement and risk guide to supplier assurance, contracts, economics, usage and renewal decisions for enterprise AI.

Procurement · CIO · Risk · Legal5 operating steps
01

Classify the dependency

Determine whether the purchase is a model, AI-enabled application, infrastructure service, agent platform or embedded supplier dependency.

02

Reuse supplier evidence

Centralise assurance evidence and review status instead of repeatedly requesting the same material across business units.

03

Connect contract terms to controls

Map security, data, continuity, usage, audit, model-change and exit requirements to the governed system record.

04

Measure real usage and economics

Compare committed commercial terms with actual consumption, business outcomes and validated value.

05

Make renewal an institutional decision

Renew based on dependency, assurance, resilience, economics and value rather than budget ownership alone.

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.