PwC
London, England, United Kingdom
PwC operates a dedicated Responsible AI practice anchored by its Responsible AI Toolkit, launched in 2019, which spans governance, ethics and regulation, interpretability and explainability, robustness and security, and bias and fairness. The practice builds enterprise AI governance frameworks, including AI risk classification and model lineage/audit-trail tracking, plus independent testing such as red-teaming and bias testing, and PwC fields an annual Responsible AI survey benchmarking client maturity from policy to embedded practice.
- Headquarters
- London, England, United Kingdom
- Founded
- 1998
- Website
- www.pwc.com
Notable facts
- PwC formally launched its Responsible AI Toolkit in 2019, a suite of governance frameworks, diagnostic assessments and tools spanning five dimensions: governance, ethics and regulation, interpretability and explainability, robustness and security, and bias and fairness.
- PwC's 2025 Responsible AI survey ('From policy to practice') found 61% of surveyed organizations had reached the 'strategic' or 'embedded' stage of Responsible AI maturity, while nearly half said turning RAI principles into operational processes remains a challenge.
- PwC's Responsible AI services include independent testing and evaluation of AI systems, including red-teaming, bias testing and stress testing, as part of its enterprise AI governance offering.
Service categories
Pricing
Pricing not publicly disclosed on the vendor's site. Typical for B2B AI-governance engagements, which are usually quoted per scope.
Case study
Case study describing how PwC co-created a strategic AI governance framework with an insurance-sector financial organization in the Czech Republic to assess AI practices and address EU AI Act compliance. Read the case study →
Sources. This profile is compiled from public reference data, WebSearch-verified againstsource 1 · source 2 · source 3. Data as of 2026-07-13. See methodology.
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