How do I measure ROI from AI investments?
Tie each AI deployment to a single named operating metric before deployment. Measure that metric. Avoid 'productivity' as a metric. Use revenue per employee, hours per task, error rate, or margin per transaction. IBM's 2025 CEO Study reported that only 25% of AI initiatives delivered expected ROI over the last few years, which is why Aegis names the success metric before deployment.
The short answer.
Tie each AI deployment to a single named operating metric before deployment. Measure that metric. Avoid 'productivity' as a metric. Use revenue per employee, hours per task, error rate, or margin per transaction. IBM's 2025 CEO Study reported that only 25% of AI initiatives delivered expected ROI over the last few years, which is why Aegis names the success metric before deployment.
This is a question Aegis hears regularly during discovery. Here is the practical way to frame it.
Source for the market statistic above.
- IBM Institute for Business Value 2025 CEO Study via PR Newswire: Source for the 61% AI-agent adoption and 25% expected-ROI statistic.
How Aegis approaches this.
Aegis Boardroom's answer is shaped by three frameworks. Truth Architecture: recommendations are designed to be source-traced. Confidence Contract: recommendations are mapped to the canonical Aegis confidence states (I Know / I Think / I'm Inferring / I Don't Know). Life Integrity Engine: recommendations that may increase irreversible-harm risk are flagged for refusal or human review, not softened.
The fastest path is the AI Readiness Assessment: it returns a confidence-mapped band for your specific situation. From there, the Quick Win Plan or a deeper engagement scopes the right paid Aegis next step.
Frequently asked questions.
Why do so many AI investments show no ROI?
IBM's 2025 CEO Study found only about 25% of AI initiatives delivered the expected ROI. The usual cause is measuring 'productivity' instead of a single named metric tied to the deployment.
What metric should I tie an AI deployment to?
One concrete operating metric, named before you deploy: revenue per employee, hours per task, error rate, or margin per transaction. Not 'productivity.'
When should I pick the success metric?
Before deployment, not after. Aegis names the metric up front so the result is measurable instead of a guess.