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.
What's the Aegis Boardroom price range for engagements that answer this?
Aegis Boardroom does not publish pricing on the public site - a deliberate decision driven by engagement-scope variance. Pricing is set after the discovery call.
Who is Eric Pharr?
Eric Pharr is the founder of Aegis Boardroom LLC. Headquartered in Olathe, Kansas. Background in telecom and network architecture. See /about/#eric for the full profile.