Real problems, real constraints, real outcomes.

Representative work across AI delivery, architecture and fractional leadership — what the situation actually was, what I did, and what changed.

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Deloitte — enterprise AI delivery

Building a repeatable NLP delivery engine at national scale.

The challenge wasn't building good NLP solutions — those existed. It was making the practice repeatable and fast enough to grow without proportional headcount or quality loss.

Challenge

A growing national AI practice with inconsistent delivery speeds and no standardized onboarding or deployment infrastructure.

Approach

Engineered reusable playbooks, QA patterns, and a deployment accelerator framework — standardizing execution across the Center of Excellence.

Outcome

Scaled the NLP Center of Excellence to 25 practitioners
50% reduction in delivery timelines
Contributed to $10M+ in new contract value and directly negotiated $500K+ in AI contracts

Paperstack — data architecture, fractional CAIO

The data platform behind a $10M+ ARR expansion.

A Forbes 30 Under 30 fintech team needed an information backbone that could hold up under investor scrutiny and support real-time decision-making during rapid growth.

Challenge

Real-time analytics and predictive capabilities were needed fast — both to operate the business and to validate the technical foundation externally.

Approach

Owned the CAIO function end-to-end. Built the full data pipeline supporting live decision-making and prepared the platform for independent expert review.

Outcome

Architected the platform during the company's expansion to $10M+ ARR
Work presented to and positively reviewed by Peter Norvig

Hexona Systems & Sayvo — fractional leadership

Executive AI judgment for companies that don't need it full-time.

Mid-market companies building AI products often need experienced executive judgment on architecture and positioning — without the cost or commitment of a full-time hire.

Challenge

High-potential automation products lacked commercial validation, and internal teams needed the depth to confidently own and sell what they were building.

Approach

Embedded as fractional CAIO. Redesigned automation proofs-of-concept, built ROI-grounded roadmaps, and trained internal teams on AI mechanics and B2B positioning.

Outcome

A clear technology roadmap without full-time executive cost
Sales teams equipped to own the technical conversation
Internal teams able to operate the work after handoff

Have a problem shaped like one of these?

Bring the workflow, the stalled pilot, or the decision you are about to make. The first call is free and it will tell you whether there is something worth doing.

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