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Executive guide

How to Measure Enterprise AI ROI Without Inventing Value

A finance-oriented guide to baselines, value contracts, attribution, cost, outcomes and validation for enterprise AI investment.

CFO · CAIO · Finance · Portfolio Office5 operating steps
01

Define the value contract before deployment

Record the baseline, expected outcome, target, measurement method, value owner, finance validator and expected cost before success is declared.

02

Separate value stages

Expected, approved, measured, validated and realised value are different states and should not be added together as though they are equivalent.

03

Use explicit attribution

Distinguish direct, modelled and inferred attribution so executives understand how strongly an outcome can be connected to AI.

04

Align cost and outcome periods

Compare cost, tokens, outcomes and value over the same period and reporting currency.

05

Measure unit economics

Track cost per outcome, tokens per outcome, value yield and marginal efficiency rather than total spend 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.