An AI developer platform's flat-tier pricing was leaving money on the table with its largest customers while pricing out smaller developers who wanted to experiment before committing — a mismatch…

A global enterprise had 30 active AI initiatives across its business units but no consistent way to measure return on investment, making it impossible for leadership to tell which initiatives…

A vertical SaaS vendor had shipped an early agentic feature that could autonomously complete customer workflows, but had no consistent way to measure its performance or decide when it was…

A developer tools company's AI platform had strong technical capabilities, but new developers were abandoning the onboarding flow before making their first successful API call at an alarmingly high rate.

An AI research lab had world-class model training talent but no dedicated product function, leaving decisions about which capabilities to prioritize, how to price API access, and what to optimize…