AI Portfolio. Capital Discipline. Measurable Results
I fix that in weeks — or tell you to stop it.
AI that Pays Off
I turn scattered pilots into governed, revenue-producing infrastructure. No frameworks. No workshops. Just the exact operating system that forces every dollar to make money or stop.
Proven at Mastercard, University of Hawai‘i, CUNY, and multiple Fortune 500s.
$3.5B+ AI portfolio governed • $547M revenue pipeline built • $200M+ direct revenue impact
Book a 90-minute AI Spend Diagnostic
(If I can’t show you 5–10× my fee in measurable opportunity, I won’t take your money.)

Fortune 500s are spending millions but getting almost nothing back.
The result:
Result: More AI activity. Zero economic advantage.

I install the AI Operating System that actually works.
1. AI Spend Diagnostic – 90 minutes + memo Fast, surgical review of every pilot, tool, vendor, and spend. You walk away with a one-page “Scale / Fix / Kill” list plus exact next steps. Price: $1,500 – $3,000 Best for: Leaders who want clarity before spending another dollar.
2. AI Portfolio Sprint – 30 days I map, rank, and own your entire AI portfolio. Clear capital allocation, stop/go decisions, and a prioritized roadmap with real owners. Price: $25,000 – $35,000 Best for: Companies drowning in disconnected experiments.
3. AI Scale-Up – 90 days Take your 1–3 best pilots and turn them into production systems that hit revenue, cost, or risk KPIs. Full execution, governance, adoption, and measurement. Price: $40,000 – $75,000 Best for: Teams that have promising pilots but can’t get them to deliver.
Rule:
If I cannot identify 5–10× my fee in measurable opportunity, I won’t recommend scaling.

Organizations already spending on AI but not yet getting enough business value from it.
• Enterprise business units
• PE-backed operators
• Fintech
• E-commerce
• B2B SaaS
If you’re already spending on AI but the ROI is embarrassing, you’re my perfect client.




Governed $3.5B+ AI portfolio across 210 markets Built $547M revenue pipeline at Mastercard Scaled 50+ AI initiatives into production Delivered $200M+ revenue impact and $30M annual cost avoidance Enabled 20,000+ employees and one agent to 275K daily users Created the regulatory playbook that de-risked $17.9M in AI liquidity expansion
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