TL;DR

PwC has launched PwC One, an AI platform designed to preserve and apply the firm’s institutional knowledge across client engagements. The platform integrates models from five major AI providers with PwC’s own compliance frameworks and domain expertise, targeting use cases in sustainability assurance, deal diligence, and tax analysis.

Solving the knowledge drain

Professional services firms have long grappled with a structural problem: valuable expertise built during one engagement walks out the door when that project ends. The next team working on a similar brief often starts from scratch, reconstructing information rather than building on prior work.

PwC One attempts to address this by embedding the firm’s proprietary methodologies directly into an AI-powered platform. Rather than relying on individual consultants to carry knowledge between projects, the system stores and surfaces relevant frameworks, compliance requirements, and analytical approaches automatically.

The firm has formed partnerships with Microsoft, Google Cloud, AWS, OpenAI, and Anthropic to power the platform — a multi-vendor approach that avoids dependence on any single provider.

Where it applies

PwC has identified three initial application areas: sustainability assurance, where regulatory requirements are expanding rapidly across jurisdictions; deal diligence, where speed and thoroughness directly affect outcomes; and tax analysis, where complexity creates natural demand for automated pattern recognition.

The firm frames the platform’s role carefully. “AI extends expertise. Judgment creates value,” the announcement states, positioning the technology as amplifying professional work rather than replacing it. Similarly: “AI raises the floor. Humans raise the ceiling.”

Looking forward

For UK professional services clients, PwC One signals how the Big Four are moving beyond experimental AI pilots toward firm-wide platforms. The competitive pressure is real — Deloitte, EY, and KPMG have each announced their own AI initiatives in recent months. The question is no longer whether these firms will adopt AI at scale, but whether the platforms genuinely improve outcomes or simply add a technology layer to existing workflows. The institutional knowledge retention angle is interesting precisely because it addresses a problem clients have been paying for — through duplicated work — for decades.