AI → EBITDA → Exit Value
B2B Vertical SaaS CEO who converts AI into EBITDA.
I convert working AI inside $10M to $75M B2B vertical SaaS companies into EBITDA by collapsing the portfolio, repricing around customer outcomes, and rebuilding GTM for AI-first, delivering 15–25% EBITDA margin within 12 months.
$10M AI ARR in 24 months. 22% EBITDA margin. Asset sale to a PE-backed portfolio company.
2
operational restructures
18→2
portfolio reset
$0→$10M
AI ARR
~50%
of EBITDA at exit
When this matters
Your portco built working AI. Revenue hasn't followed.
The commercial model is still SaaS. Pricing, GTM, and operating cadence haven't been rebuilt for AI delivery.
You need an operator who has solved this problem before and can show the financial results.
I go in as CEO. Collapse the portfolio. Reset GTM. Convert AI to EBITDA.
How I convert AI to EBITDA: Operating Frameworks
- 1/
Concentrate into one load-bearing workflow
Where AI delivers measurable customer EBITDA.
Read: SaaS to AI Re-founding →
- 2/
Anchor AI to customer EBITDA
If it does not hit customer EBITDA, it will not renew.
Read: The AI to EBITDA Playbook →
- 3/
Price the outcome, not your target margin
Start from customer value, not cost plus markup.
Read: How to Price AI Agents →
- 4/
Deliver first
Prove the result before you scale the contract.
Read: The AI Commercial Model →
- 5/
Run on AI performance
Weekly execution cadence, not quarterly theater.
Read: The AI Operating Cadence →
If your portfolio company has AI that isn't driving EBITDA, I've solved that problem twice.