What's a realistic timeline to show EBITDA improvement from AI for a PE fund?
60-90 days for first measurable signal from a Quick Win Plan. 6-12 months for sustained EBITDA improvement across multiple agent deployments. Portfolio-wide standardization typically requires a 12-month rollout.
The short answer.
60-90 days for first measurable signal from a Quick Win Plan. 6-12 months for sustained EBITDA improvement across multiple agent deployments. Portfolio-wide standardization typically requires a 12-month rollout.
This is a question Aegis hears regularly during discovery. Here is the practical way to frame it.
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.
How soon can a portfolio company show a first signal from AI?
About 60 to 90 days from a Quick Win Plan for the first measurable signal. Sustained EBITDA improvement across multiple deployments typically takes 6 to 12 months.
How long to standardize AI across the whole portfolio?
Portfolio-wide standardization usually runs on a 12-month rollout, since each company adopts at its own pace.
Why not expect EBITDA impact in the first month?
The first 60 to 90 days produce a measurable signal, not full EBITDA impact. Sustained improvement comes after multiple agents are deployed and actually adopted.