PwC is deploying Claude to build technology, execute deals, and reinvent enterprise functions for clients

· Source: Anthropic News · Field: Business & Management — Corporate Strategy & Leadership, Consulting & Professional Services, Operations & Process Management · Depth: Intermediate, medium

Summary

Anthropic and PwC have expanded their strategic alliance, focusing on deploying Claude to enhance technology development, deal execution, and enterprise function reinvention for PwC's clients. This collaboration aims to help companies replace outdated, pre-AI systems, addressing an estimated $2 trillion drag on enterprises. Key initiatives include rolling out Claude Code and Cowork to PwC's global workforce, establishing a joint Center of Excellence, and training 30,000 PwC professionals on Claude. PwC is also launching a new finance business group, "Office of the CFO," built on Anthropic's technology. Claude is already in production across various sectors, including professional sports, insurance underwriting, mainframe modernization, HR transformation, and cybersecurity, reportedly cutting delivery times by up to 70%.

Key takeaway

For CTOs and enterprise architects evaluating large-scale AI adoption, this alliance demonstrates a viable path from pilots to production. PwC's internal deployment and client successes, like reducing insurance underwriting from 10 weeks to 10 days, highlight the potential for substantial efficiency gains and new business opportunities. You should consider how agentic AI can transform core enterprise functions and accelerate deal-making within your organization, focusing on regulated industries where accuracy is paramount.

Key insights

PwC and Anthropic are scaling AI deployment to transform enterprise functions and deal-making, achieving significant efficiency gains.

Principles

Method

PwC and Anthropic are building agentic AI systems that run continuously, enabling experienced professionals to operate at unprecedented scale across financial services, healthcare, and other regulated industries.

In practice

Topics

Best for: Executive, Investor, CTO, Consultant, Director of AI/ML, VP of Engineering/Data

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Editorial summary, takeaway, and curation by AIssential. Original article published by Anthropic News.