Enterprises are wasting a significant portion of their AI budgets due to a lack of measurement and strategy.
Unmanaged "shadow AI" usage is creating widespread security and compliance risks.
Companies are relying on ineffective, ad-hoc training methods for a world-changing technology.
Measuring the wrong productivity metrics (e.g., lines of code) can create perverse incentives and poor outcomes (Goodhart's Law).
Opportunities Identified
A massive market exists for tools that measure the ROI and govern the use of enterprise AI, analogous to the ad-tech infrastructure built for the internet.
AI can dramatically increase knowledge worker productivity and solve systemic coordination problems within large organizations.
Shifting a fraction of corporate labor budgets to more efficient AI and software tools represents a multi-trillion dollar market expansion.
Data-driven platforms that prove AI's value can replace traditional, less effective management consulting frameworks.