Case Study · Named engagement · 2026

arbitr

AI language technology Fractional CPO

Situation

A listed language-services company repositioning from translation vendor to AI platform, with revenue concentrated in legacy services and a product org organized around delivery rather than product bets.

Intervention

Repositioned the product line around governed AI workflows, installed a bet-based roadmap with kill rules, and shipped the arbitr platform from first commit to paying usage.

Outcome

Vendor to platform

Narrative and product line repositioned around a working product, not a slide

0 to 1

New AI product in production in 13 weeks, two revenue workflows live end to end

Legacy products entering sunset on the production release; intent became an operating decision

The Point

The speed was not the achievement. The achievement was shipping fast without giving up governance: human review in the product, a quality score gating every delivery route, and an audit trail behind every output. Ship proof, not opinions. Scale only what is undeniable.

After the engagement

Two legacy sunsets were operating decisions in motion, not intentions.
Governance lived in the product: human review, a quality score gating every route, an audit trail behind every output.

Metrics drawn from company operating data, commercial records, product analytics, or board materials. Methodology and references available in qualified diligence.