Operator
B2B Vertical SaaS CEO. I go into B2B SaaS companies where the AI works but the commercial model hasn't caught up, and rebuild the operating infrastructure so AI shows up in EBITDA. Two operational restructures under real-time pressure.
Positioning: Portfolio Company CEO for PE-backed B2B vertical SaaS.
Directly
22% EBITDA margin, sustained for two years. Promoted to CEO when obligations exceeded cash. Rebuilt cost architecture and deployed AI automation contributing an estimated 50% of EBITDA at exit. Led the complete exit process as CEO. Asset sale to a PE-backed acquirer. Enterprise customers included Microsoft, Airbnb, AT&T, and SAP.
iAdvize
$0 to $10M+ AI ARR in 24 months. Led the operational restructure, collapsing an 18-product portfolio to two: one vertical AI agent, one SaaS add-on. Compressed sales cycles from 9 months to 60 days. Trial-to-paid conversion tripled.
HP Enterprise Services
5 points of EBITDA margin added to a $4B Application Services business from a $250M P&L. Built the industrialized delivery infrastructure that absorbed onshore work from fixed price contracts, removing $200M+ in structural cost. Rationalized the vertical IP portfolio, reducing R&D spend by $48M annually.
The pattern
The AI worked before the commercial model did. That is where I operate: where AI capability is real but has not yet translated to durable revenue, margin expansion, and exit value.