TLDR: PwC has integrated CrewAI into its Agent OS, a cloud-agnostic platform designed to govern and scale AI agents globally for enterprise applications. This collaboration aims to enhance AI workflow efficiency, accuracy, and secure execution across various business functions, with PwC reporting significant internal process improvements.
PwC has announced its strategic decision to incorporate CrewAI as a foundational layer within its global Agent OS, an enterprise orchestration platform aimed at revolutionizing AI workflows for businesses worldwide. This move signifies a major step in deploying AI agents at scale, moving beyond experimental phases to full-scale enterprise implementation.
PwC’s Agent OS is a cloud-agnostic platform, enabling deployment across major cloud providers such as AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure, and Salesforce, as well as on-premises data centers. Its primary function is to provide a consistent and scalable framework for building, orchestrating, and integrating AI agents across diverse platforms, tools, and business functions. The integration with CrewAI is set to power structured orchestration, observability, and secure execution within this system.
According to PwC, the firm has already witnessed substantial benefits from using CrewAI-powered agents internally, reporting over 700% improvements in internal process accuracy. This success has prompted PwC to enable CrewAI more broadly within its Agent OS, facilitating the creation and management of intelligent workflows and agentic blueprints. The platform allows organizations to spin up agents for both internal and client-facing workflows, reuse logic and governance patterns, and monitor and improve agents without rebuilding them from scratch.
Enterprise leaders are increasingly deploying AI agents across operations, systems, and workflows. PwC’s May 2025 AI Agent Survey indicates that 88% of senior executives plan to increase their AI-related budgets in the coming year, with nearly four in five (79%) already utilizing AI agents within their companies. The survey also highlights that 73% of executives believe AI agents will deliver a significant competitive advantage.
PwC’s Agent OS is designed to address interoperability and scalability challenges often encountered when integrating AI into complex business processes. It supports the in-house creation of agents, developed using third-party SDKs or fine-tuned on proprietary enterprise data, and offers an extensive library of pre-built AI agents with flexible customization options. This enables companies to rapidly develop, deploy, and scale AI-driven workflows, boosting efficiency and enhancing decision-making through a patent-pending orchestration system.
Examples of potential applications include a logistics director coordinating AI agents across SAP, Oracle, and AWS for demand forecasting, procurement, and real-time logistics tracking, or a compliance manager automating regulatory workflows by integrating policy analysis agents from Anthropic and internal documentation review agents powered by Microsoft Azure. PwC’s ‘Agent Powered Performance’ offering, integrated with Agent OS, embeds AI agents directly into core enterprise systems to monitor value leakage, reason over predictive models, and execute improvements.
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The collaboration between PwC and CrewAI underscores a growing trend in enterprise AI, focusing on multi-agent systems as the defining architecture for the next wave of AI adoption. PwC’s approach aims to provide a blueprint for scaling AI across the enterprise with confidence, speed, and measurable ROI, addressing key concerns such as cybersecurity, which 34% of executives identified as a top barrier to realizing AI agent value.
