Powering Scalable AI Workflows with New AI Operating Systems Announced by PwC
In a groundbreaking development, professional services network PwC has launched Agent OS, an enterprise AI command center designed to revolutionise the way businesses integrate and scale AI technologies. Acting as a centralised, scalable hub, Agent OS bridges disparate AI technologies and workflows into a harmonious, extensible system, accelerating AI adoption from experimental stages to fully integrated, scalable enterprise solutions.
This innovative framework serves as both the central nervous system and the switchboard for AI agents within an organisation. By connecting and scaling intelligent agents across different platforms, Agent OS enables enterprises to seamlessly integrate diverse AI agents—whether they are embedded features in platforms, standalone applications, or specialized agents built on various proprietary or open-source SDKs—into consistent, modular, and adaptive workflows.
Key features of Agent OS include cross-platform integration, a consistent, scalable framework, modular, adaptive workflows, support for in-house and third-party agents, governed and secure AI deployment, and cloud-agnostic capabilities. The system supports AI agents built on or connected to a wide range of platforms and enterprise systems, including Anthropic, AWS, GitHub, Google Cloud, Microsoft Azure, OpenAI, Oracle, Salesforce, SAP, Workday, and others.
One of the standout advantages of Agent OS is its ability to create business-ready AI workflows that adapt to complex, multi-agent processes, offering flexibility to tailor AI deployment to unique operational needs while scaling rapidly—up to 10 times faster than traditional methods. Organisations can develop AI agents internally, incorporate third-party SDK-based agents, or utilise pre-built AI agents from PwC’s extensive library, with the option to fine-tune these agents using proprietary enterprise data.
Agent OS also caters to global enterprise needs by intelligently adapting workflows to multiple languages, ensuring seamless integration across geographies. The system's intuitive drag-and-drop interface, natural language transitions, and data flow visualisation make workflow creation accessible to both technical and non-technical users.
PwC's Agent OS is expected to significantly transform operations for PwC Thailand's clients, enabling them to work smarter, respond faster to market needs, and generate new value in unprecedented ways. The launch of Agent OS in Thailand is planned for August this year.
By addressing common challenges enterprises face with AI agents, such as communication, collaboration, and scaling issues across complex environments, Agent OS is set to redefine the future of AI adoption and enterprise transformation.
- The enterprise AI command center, Agent OS, developed by PwC, is designed to revolutionize the market by streamlining AI technology integration and scaling across various infrastructure platforms, using artificial-intelligence and analytics.
- Agent OS, acting as the central hub for AI agents within an organization, brilliantly bridges disparate AI technologies and workflows, creating a harmonious system that supports software such as Anthropic, AWS, GitHub, Google Cloud, Microsoft Azure, OpenAI, Oracle, Salesforce, SAP, Workday, and others.
- Key features of Agent OS include cross-platform integration, a scalable framework, modular and adaptive workflows, governance, security, and cloud-agnostic capabilities, making it suitable for diverse AI agents whether they are third-party or in-house.
- Organisations can develop AI agents internally, utilize pre-built AI agents from PwC's extensive library, or incorporate third-party SDK-based agents—Agent OS provides the flexibility to adapt to unique operational needs while scaling rapidly, up to 10 times faster than traditional methods.
- Agent OS caters to global enterprise needs by intelligently adapting workflows to multiple languages, ensuring seamless integration across geographies, and making workflow creation accessible to both technical and non-technical users through an intuitive drag-and-drop interface, natural language transitions, and data flow visualisation.
