/
PH1 has a decade of experience in
AI Strategy & Evaluation
Organizations are investing heavily in AI without clear evidence that it is improving performance.
Models and tools are no longer the constraint.
The challenge is deciding where AI should be applied, how success should be measured, and whether outcomes are actually improving for users and the business.
PH1 helps organizations design AI strategies grounded in performance, benchmarking, and evidence-based decision-making.
AI only matters if it measurably improves performance
Most AI initiatives assume performance will improve once features ship. In practice, usage stalls, core metrics barely move, and teams cannot explain whether AI helped or hurt outcomes.
AI strategy must be anchored in outcomes, not capability.
PH1’s point of view is straightforward:
Apply AI only where it improves a defined metric
Benchmark performance before and after adoption
Use real user behavior as the primary signal of value
Scale decisions based on evidence, not momentum
