AI Readiness Diagnostic for PE-Backed Companies
Find the first AI moves that can improve EBITDA before funding another pilot. We identify the top process opportunities, readiness gaps, and a practical 30/60/90-day action path.
Most AI Spend Starts Before the Company Is Ready
They know AI can improve margins. They have seen the McKinsey numbers. But when it comes to execution, most PE-backed companies fall into the same traps: pilot purgatory, tool-first thinking, and no connection between AI spend and EBITDA impact.
The diagnostic answers the question before the spend starts: which process should AI touch first, what has to be fixed first, and what can create measurable EBITDA impact in the next 90 days?
AI pilots that never ship
POCs that consume budget and produce slide decks instead of production deployments.
Tool-first thinking
Buying AI platforms before mapping the processes they need to automate.
No measurement framework
Deploying AI without tying spend to margin improvement — making the next initiative unfundable.
Single-portco thinking
Treating each portfolio company as a standalone project instead of building a repeatable playbook.
Get Your AI Readiness Diagnostic
We will identify where AI can improve EBITDA first, what readiness gaps could block execution, and the practical path for the next 30, 60, and 90 days.
- Top 3 process opportunities ranked by EBITDA impact and implementation risk
- Readiness gaps across workflow, data, systems, and operating ownership
- 30/60/90-day action path with no obligation to buy implementation work
Framework Results
The 5-Step AI for EBITDA Framework
Tested across 200+ PE transactions. Designed for operators who need results, not research projects.
Process Mapping
Before touching any technology, map the operational workflows that drive cost and revenue. Identify where manual effort, rework, and bottlenecks are quietly eroding margin.
Quick Win Selection
Identify the 2-3 processes where AI delivers measurable EBITDA impact in under 90 days. Start where the ROI is clearest and the implementation risk is lowest.
Rapid Deployment
Deploy targeted AI solutions — not science projects. Production-ready tools that operators actually use, not dashboards nobody checks.
Measurement
Track the EBITDA impact from day one. Tie every dollar of AI spend to margin improvement so the board funds the next initiative without hesitation.
Portfolio Roll-Out
Once proven at one portco, replicate across the portfolio. The playbook compounds — what works at one company accelerates at the next.
Ready to Apply This Framework?
Start with the readiness diagnostic. We will identify the first AI-for-EBITDA moves worth funding and the gaps to close before implementation.
Request AI Diagnostic