Regulatory Consulting at PwC Public Sector

Overview

PwC’s Public Sector practice combines public-finance, regulatory-reform, and tax-policy depth with a well-developed responsible-AI and AI-governance program. Its distinctive contribution to the AI-policy conversation is data plus framework: the recurring PwC US Responsible AI Survey tracks how organizations move ‘from policy to practice,’ and PwC’s Responsible AI Framework provides a structured governance approach — cross-functional AI governance councils, ethics boards, risk-classification and tiering, model lineage and audit trails, and pre-deployment impact assessments. As the frontier shifts to agentic AI, PwC has moved quickly, building ‘agent OS’ to orchestrate and govern fleets of AI agents and publishing guidance on responsibly adopting agentic AI in both enterprise and public-sector settings (including a joint public-sector playbook with Microsoft). PwC also reads the regulatory tea leaves for clients: its analyses of federal AI guidance argue that OMB’s expectations — use-case inventories, risk tiering, testing, monitoring, and human oversight — signal the accountability regulators may soon expect more broadly. That combination of survey data, governance framework, and regulatory interpretation makes PwC a leading voice on the compliance-and-governance side of AI policy.

AI-Focused Regulatory Work

PwC’s angle on AI policy is governance operationalized. Its annual US Responsible AI Survey — most recently of 310 US business leaders at director level and above — has become a barometer of how far organizations have actually moved ‘from policy to practice,’ and it increasingly foregrounds a new challenge: governing agentic AI. PwC’s argument is that AI agents shouldn’t be governed separately but folded into a broader, adaptive governance framework, with ‘horizon scanning’ to catch emerging risks, autonomy-aware risk tiering, and controls, testing, and telemetry embedded directly into design — a ‘human-at-the-helm’ posture as autonomy grows. To make that concrete, PwC built ‘agent OS’ to orchestrate and manage fleets of agents across platforms, and it published (with Microsoft) ‘Unlocking Tomorrow: Agentic AI for the Public Sector,’ a step-by-step guide for governments moving from digital maturity to governed intelligent automation. PwC’s Responsible AI Framework is deliberately structural — cross-functional governance councils, ethics boards for high-risk applications, model lineage and audit trails, bias-mitigation techniques, and mandatory impact assessments — and its regulatory analyses translate OMB and EU AI Act expectations into what enterprises should do now. For a public-sector policy reader, PwC is most useful as the firm that connects three things others treat separately: real adoption data, a concrete governance framework, and a clear read on where AI regulation is heading — a package that lets agencies and companies design for compliance from day one rather than retrofitting it after the fact.

Notable AI Policy Work

• Publishes the annual PwC US Responsible AI Survey (‘From Policy to Practice’; 2025 edition of 310 US business leaders) tracking responsible-AI maturity and the governance of agentic AI.
• Built ‘agent OS’ to orchestrate and govern fleets of AI agents across platforms, and published guidance on responsibly adopting AI agents as part of a unified governance framework.
• Maintains a structured Responsible AI Framework (governance councils, ethics boards, risk tiering, model lineage/audit trails, bias mitigation, impact assessments), delivered on Microsoft Azure.
• Co-authored (with Microsoft) ‘Unlocking Tomorrow: Agentic AI for the Public Sector,’ a governance-and-implementation guide for governments, education, and defense.
• Publishes regulatory analysis translating federal AI guidance (OMB memos, EU AI Act) into enterprise responsible-AI requirements — use-case inventories, risk tiering, testing, monitoring, and human oversight.

Thought Leadership

1. PwC 2025 US Responsible AI Survey: From Policy to Practice
   PwC’s annual survey of US business leaders on responsible-AI maturity; the 2025 edition focuses on adapting governance for agentic AI and moving from policy to embedded practice.
2. Responsible Adoption of AI Agents in the Enterprise
   Guidance on folding AI agents into a unified governance framework — horizon scanning, autonomy-aware risk tiering, and a human-at-the-helm approach as autonomy grows.
3. Unlocking Tomorrow: Agentic AI for the Public Sector (PwC × Microsoft)
   A public-sector playbook for moving from digital maturity to governed intelligent automation across government, education, and defense.
4. Federal Guidance Sets the Standard for Responsible AI
   PwC’s read on OMB AI guidance — arguing its use-case inventory, risk-tiering, testing, and oversight requirements preview accountability regulators may expect more broadly.

Clients

Federal agencies and public-finance/tax authorities, plus regulated commercial sectors (financial services, health). Delivers responsible-AI governance on Microsoft Azure; public-sector agentic-AI work partnered with Microsoft.