PwC launches AI agent operating system to revolutionize AI workflows for enterprises

PwC’s agent OS is an enterprise AI command center — seamlessly connecting and scaling intelligent agents into business-ready workflows, up to 10x faster than traditional methods

Today we announced PwC’s agent OS designed for enterprise organizations to streamline next-generation AI workflows and orchestrate complex, multi-agent business processes at scale. PwC’s agent OS provides a consistent, scalable framework for building, orchestrating, and integrating AI agents across a wide range of platforms, tools and business functions — allowing organizations to move beyond AI experimentation and into enterprise-wide AI adoption.

Enterprise organizations face a critical challenge: AI agents are being developed in many ways — as embedded features within platforms, as standalone applications, or as highly specialized agents built on proprietary or open-source software development kits (SDKs). However, as embedded features, these agents struggle to communicate, collaborate and scale effectively across complex enterprise environments. 

Unlike other tools that support siloed agent systems, PwC’s agent OS is a unified orchestration framework — acting as both the central nervous system and the switchboard for enterprise AI. It seamlessly connects AI agents, regardless of platform or framework, into modular, adaptive workflows that integrate with essential enterprise systems such as those from Anthropic, AWS, GitHub, Google Cloud, Microsoft Azure, OpenAI, Oracle, Salesforce, SAP, Workday and others.  

PwC’s agent OS is designed to support the in-house creation of agents, developed using third-party SDKs integrated into PwC’s agent OS or fine-tuned on proprietary enterprise data, providing a cohesive way to connect and manage them at enterprise scale. With an extensive library of pre-built AI agents and flexible customization options, PwC’s agent OS can empower companies to rapidly develop, deploy and scale AI-driven workflows that boost efficiency and enhance decision-making through a patent-pending orchestration system.

The intuitive drag-and-drop interface, natural language transitions and data flow visualization make workflow creation accessible to both technical and non-technical users, facilitating rapid enterprise-wide adoption. PwC’s agent OS is also cloud-agnostic, enabling deployment across major providers including AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Salesforce, as well as on-premises data centers. It also intelligently adapts workflows to multiple languages, supporting seamless integration for global enterprise needs.

Enterprises frequently encounter interoperability and scalability challenges when integrating AI into their complex business processes. PwC’s agent OS addresses these barriers by:

• Providing a flexible, unified framework for building, customizing and orchestrating AI agents and tools across multiple platforms, SDKs and enterprise environments.

• Enabling integration with existing enterprise systems, platforms, data sources and agents.

• Enhancing AI governance and compliance through PwC’s integrated risk management and oversight frameworks.

• Facilitating advanced AI collaboration, allowing AI agents to work together and learn from each other in real-time to handle complex, cross-functional workflows.  

PwC’s agent OS enables organizations to quickly build, customize, and deploy intelligent workflows and agentic blueprints, simplifying enterprise-wide AI integration and transformation. As organizations explore how to scale AI across business functions, PwC’s agent OS opens the door to entirely new possibilities. For example:  

• A logistics director at a global manufacturing firm could use PwC’s agent OS to coordinate AI agents across SAP (for demand forecasting), Oracle (for procurement), and AWS (for real-time logistics tracking). By adding a custom risk analysis agent and a disruption detection agent from PwC, they can proactively address potential supply chain bottlenecks. This cross-agent orchestration could reduce supply delays by an estimated 40%.  

• A marketing operations lead at a Fortune 100 retail brand could streamline campaign execution by orchestrating creative generation agents from OpenAI, testing agents from Google Cloud and analytics agents from Salesforce. A budget oversight agent from Workday helps with the financial alignment. With PwC’s agent OS managing these agents across platforms, conversion rates could increase by 30% and campaign launch times could be cut in half.

• A compliance manager at a multinational bank could automate regulatory workflows using PwC’s agent OS to integrate policy analysis agents from Anthropic and internal documentation review agents powered by Microsoft Azure. A custom agent interprets evolving regulations while ensuring alignment with company standards. This setup could reduce manual review time by an estimated 70%.

In addition to these future possibilities, here are some real-world examples of how we’ve already helped clients leverage AI agents into their workforce strategies:

• A major technology company reimagined customer engagement by deploying an AI agent-powered, omnichannel contact center. With predictive intent modeling, adaptive dialogue, and real-time analytics, the system reduced phone time by nearly 25%, cut call transfers by up to 60%, and boosted customer satisfaction by approximately 10%.

• A large hospitality company streamlined management of their brand standards across their global portfolio by deploying agentic workflows within a modern, AI-powered platform. Intelligent agents now automate updates, approvals and compliance tracking — reducing review times by up to 94%.

• A global healthcare company transformed cancer care by deploying agentic AI workflows across oncology practices. Intelligent agents streamlined clinical and operational processes — automating the extraction, standardization and querying of unstructured documents to drive about 50% improved access to actionable clinical insights to support precision medicine and clinical research and drove a nearly 30% reduction in staff administrative burden through AI-powered document search and synthesis. 

We also leverage PwC’s agent OS within our own organization, empowering our people and building on our existing foundation of using AI to deliver productivity gains across tax, assurance and advisory services to clients. With over 250 AI agents deployed across our firm for specific tasks integrated into workflows that drive business impact, we are reinforcing our leadership in operationalizing AI at scale. PwC’s agent OS plays a critical role in accelerating and governing this ecosystem, driving efficiency and responsible AI deployment.