Case Studies

Evidence for teams asking,
"Can he handle our situation?"

These examples span technology delivery, financial capitalization, and organizational training. True impact isn't just shipping a model—it's building the capability to sustain it and the capital to leverage it.

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Deloitte (AI Delivery & Scale)

Scaling an enterprise NLP capability with reusable delivery infrastructure.

The challenge was not just building good NLP solutions. It was creating repeatable delivery systems that could scale a capability, train incoming practitioners, and tighten deployment timelines.

Challenge

Enterprise AI work was valuable, but repeatability and speed needed to improve as the national practice grew rapidly.

Intervention

Engineered reusable playbooks, QA patterns, and a flagship deployment framework to standardize execution across the CoE.

Outcome
  • Scaled capability to 20+ practitioners.
  • Cut timelines by 50% across engagements.
  • Negotiated and drove $10M+ in contracts.
Paperstack (Architecture & Strategic Valuation)

Architecting the data foundation for a $10M ARR push.

In a fintech startup navigating high growth, AI leadership means building an unbroken information backbone that accelerates the startup's ability to capitalize and scale.

Challenge

The team needed immediate, robust real-time analytics and predictive capabilities to justify scale efforts to investors.

Intervention

Owned the CAIO function. Built the end-to-end data pipeline supporting live decision-making, and prepped the platform for external validation.

Outcome
  • Secured $10M ARR benchmark.
  • Validated directly by Peter Norvig (Google).
  • Fortified the Forbes 30 Under 30 foundation.
Hexona Systems & Sayvo (Fractional & Education)

Fractional mandates unifying ROI roadmaps with sales conviction.

Mid-market companies don't just need a software build—they need their internal sellers and operators to actually believe in and sell the AI positioning. This is where training meets execution.

Challenge

High potential automation products were lacking commercial validation and the sales team lacked deep fluency in the tech.

Intervention

Acted as temporary CAIO. Redesigned automation proofs-of-concept while actively training internal teams on AI mechanics and B2B translation.

Outcome
  • Structured roadmap without heavy full-time headcount.
  • Upskilled B2B sales teams on AI ROI framing.
  • Moved pilots successfully to paid deployments.