PwC's agent OS is an enterprise AI agent orchestration platform that enables organizations to coordinate multiple AI agents—across vendors and platforms—into unified, automated workflows. It functions as a centralized command center for building, deploying, and governing AI-driven processes at enterprise scale.

Key Features & Functions:

Multi-Agent Orchestration
Agent OS connects AI agents from multiple vendors and platforms into coordinated workflows using a recursive, graph-based orchestration architecture. This patent-pending approach allows simple agent groupings to be combined into more complex, multi-step processes spanning multiple business functions.

Vendor-Agnostic Integration
The platform integrates with a wide range of enterprise systems and AI providers, including Anthropic, AWS, GitHub, Google Cloud, Microsoft Azure, OpenAI, Oracle, Salesforce, SAP, Workday, CrewAI, and LangGraph, allowing organizations to leverage existing investments without rebuilding for a specific vendor environment.

Natural Language Workflow Design
A proprietary "language-state" machine enables agents to act within workflows based on real-time data and natural language input, allowing users without technical backgrounds to design and modify agentic workflows.

Reusable Agent & Workflow Library
Agent OS includes a library of pre-built AI agents and supports the creation of custom agents using third-party SDKs or enterprise-specific training data. Completed agents and workflow components can be replicated and reused across other workflows.

Role-Based Access Control
The platform applies role-based access control (RBAC) with Microsoft Graph integration, using a three-tier permission model (User, Superuser, Admin) to manage access to tools, workflows, and data across the enterprise.

Governance & Oversight Dashboard
Agent OS provides real-time visibility through session tracking, execution history, and human-in-the-loop feedback mechanisms. A centralized governance dashboard integrates with PwC's Responsible AI framework to support compliance and accountability requirements.

Security Architecture
Security features include the Model Context Protocol (MCP) for policy-aligned access to enterprise tools and data, encrypted credential vaults, code reviews, schema validation, and sandboxed testing environments.

No-Code & Developer Access
The platform supports both non-technical users through a drag-and-drop interface and software engineers through direct code access and software development kits (SDKs).