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 to 20+ practitioners in 18 months.
- 50% reduction in delivery timelines.
- $10M+ in new NLP contract value.
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
- Supported the company's $10M ARR milestone.
- Endorsed by Peter Norvig, former Chief Scientist at Google.
Hexona Systems & Sayvo — Fractional Leadership
Bringing executive AI leadership to 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
- Clear technology roadmap without full-time executive cost.
- Pilots moved to paid production deployments.
- Sales teams equipped to own the technical conversation.
Canadian Funding — Capital Navigation
Finding the capital that technology businesses routinely leave on the table.
Most Canadian businesses investing in AI and technology underutilize available government programs — SR&ED credits, industry grants, and strategic funding that exist precisely for this kind of work.
Challenge
Growing companies lack the internal expertise to identify and apply for applicable programs — and the funding timelines often don't align naturally with how technology projects run.
Approach
Identified applicable grants and SR&ED opportunities, managed the application process, and aligned funding timelines with each company's technology roadmap.
Outcome
- Capital secured and applied to AI build-outs.
- Funding and technology strategy integrated from the start.