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PwC Chief Advocates Quality-Focused AI Measurement
8.1
Dan Priest, PwC's chief AI officer, told Business Insider that firms should stop measuring AI adoption by agent counts and instead assess agent quality and human usage. He said about 82% of PwC employees actively use the firm's AI tools, and PwC evaluates agents on accuracy, task performance, data permissions, and human review to improve outcomes such as call-center experience.
Key Points
- 1Prioritizes agent quality over raw agent counts, arguing numbers alone misrepresent adoption
- 2Highlights human accountability and monitoring, with humans certifying, licensing, and reviewing agent outputs
- 3Advises firms to measure agents by authoritative task mastery and active human users to drive outcomes
Scoring Rationale
Provides actionable, official guidance from a PwC executive, limited by single-source industry commentary.
Sources
Public references used for this report.
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