Case Studies

Representative proof of strategy turned into shipped work.

These examples show the kind of problems I am hired into: the room is cross-functional, the AI story needs to connect to business leverage, and the work has to hold up after the meeting ends.

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Deloitte

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, shorten timelines, and make technical pre-sales more credible.

Challenge

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

Intervention

Built reusable playbooks, QA patterns, and a flagship deployment accelerator inside Deloitte's NLP Center of Excellence.

Outcome

  • Scaled the capability to more than 20 practitioners.
  • Reduced project timelines by 50% across multiple engagements.
  • Supported more than $10M in new contract value through stronger technical pre-sales.

Paperstack

Owning the AI function and architecting the data platform behind scale.

In a startup setting, AI leadership often means more than model work. It means building the information backbone that lets the company make better decisions at speed.

Challenge

The company needed real-time visibility and a stronger data foundation while pursuing growth.

Intervention

Owned the AI function and architected the end-to-end data platform supporting analytics, product direction, and leadership decision-making.

Outcome

  • Enabled real-time analytics during a push toward $10M ARR.
  • Worked directly with leadership on AI product direction and data architecture.
  • Earned direct product endorsement from Peter Norvig after presenting the work.

Hexona Systems

Fractional AI leadership that supports both roadmap clarity and commercial execution.

Some companies are not looking for another consultant deck. They need a senior AI operator who can shape the roadmap, support proof-of-concept work, and make the commercial story stronger.

Challenge

The business needed a credible AI strategy tied to adoption, positioning, and measurable ROI.

Intervention

Stepped in as fractional CAIO, reporting to the CEO and shaping automation playbooks, market positioning, and proof-of-concept strategy.

Outcome

  • Created a more structured AI roadmap without requiring a full-time executive hire.
  • Improved the quality of B2B AI conversations with stronger proof-of-concept framing.
  • Kept the AI story tied to ROI, not just novelty.