Agent OS | PwC

Accelerate with agentic AI

Agentic AI doesn’t just follow orders—it puts your commands into action and over time learns, collaborates, and evolves. They go beyond automating existing processes, enabling you to redesign processes with AI capabilities in mind from the start.

Each AI agent specialises in something—finance, logistics, customer service—and typically only does a single narrow task. To create value that moves the needle, you need to connect agents into workflows, combine them with your people into teams and integrate them with your enterprise systems.

You can then solve complex challenges, fast: serve customers, improve pricing and marketing, develop software, monitor supply chains, onboard employees, streamline procurement, transform the finance function and more.

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Tech Translated: Agentic AI Video

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Watch the film, and discover PwC’s Agent OS with insights from Matt Wood, Global and US Commercial Technology & Innovation Officer, PwC US.

Meet PwC’s agent OS

AI agents are being developed in a number of ways — from embedded features within platforms to standalone applications. However, these agents struggle to communicate and collaborate across complex businesses.

PwC’s agent OS is a unified platform- for you to seamlessly connect and scale intelligent agents- even ones from different vendors- into business-ready workflows.

Key features of PwC’s agent OS

Get the most out of your AI investments. PwC’s agent OS lets you orchestrate agents from multiple vendors into unified workflows. It works across major platforms and enterprise systems: Anthropic, AWS, GitHub, Google Cloud, Microsoft Azure, OpenAI, Oracle, Salesforce, SAP, Workday and more.

With agent OS, if your tech stack is ready, you can begin seeing results in as little as 30 days—a pace notably quicker than other approaches to building multi-agent models.

Our recent enhancement, Agent Powered Performance, enables you to drive continuous value realisation, all while making adoption a non-issue. Designed to turn transformation from a milestone into a muscle—and help you move beyond pilot mode, at pace.

Even if your tech stack isn't AI-ready, you can still gain value quickly through low-risk pilots as you upgrade your ERP or cloud systems and modernise data and controls as needed.

Agent OS comes with oversight and governance tools — including a dashboard that puts you in the driver’s seat — and integrates with PwC's market-leading Responsible AI framework. It lets you operate new agents and workflows in non-production environments until you decide they’re safe.

Agent OS now includes support for Model Context Protocol (MCP), allowing secure, standardised access to enterprise tools and data with reusable connections and built-in governance.

Agent OS in action

Case studies

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, standardisation 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

Agent OS: Your questions, answered

Unlike integrated tools or chatbots that support specific tasks, agent OS is built to reshape operations at scale. It enables you to give all your people task-specific AI coworkers embedded into their workflows — with each agent automating work, handing off tasks to other agents and constantly communicating with their human teammates.

Agent OS can reduce manual efforts by several orders of magnitude as you deploy agentic workflows against common, repetitive tasks. It lets you go beyond simple automation too, creating processes around AI agents that think, act, and improve over time.

With agent OS handling more tasks, your workforce can focus on strategic and creative work, boosting capacity. However, employees will need to learn new skills in instructing agents, assessing AI outputs, and transforming processes.

As agent OS enables agents to execute more tasks behind the scenes, your workforce’s capacity can surge, especially for strategic and creative work. But people will need new skills, like how to give agents instructions and context, how to evaluate AI outputs (rather than assuming their correctness) and how AI can transform current processes.

A lot of AI stops at point or siloed solutions. Agent OS lets you connect those solutions and build and manage bigger ones: multi-agent workflows that span multiple business processes. When you automate entire workflows with agent OS — not just individual tasks — you can reduce manual effort by up to 95%.

PwC’s agent OS