PwC introduces agent OS to smoothen the connection and scalability of AI agents
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The London-based multinational audit firm PwC launched the PwC’s agent OS, which will act as an enterprise-level AI command center to enable effective connectivity and scalability between AI agents. The OS will help integrate the agents into business-ready workflows, boosting their performance up to 10 times faster than traditional methods. PwC further revealed that the command center would also help create more complex, multi-agent businesses at a larger scale. The audit firm pointed out the existence of AI agents as embedded features within different platforms, developed as standalone applications or applications built on open-source software development kits (SDKs) or proprietary software. The company added the issues with the existing AI agents as embedded features in platforms, making it harder for the applications to communicate, collaborate, or scale effectively. The firm further pointed out that PwC’s agent OS would aid in the development and organization and incorporate the agents into different business models, platforms, and enterprise tools in a consistent and scalable ecosystem. PwC insisted that the OS would also push companies toward AI adoption while moving away from AI experimentation. Aagent OS will act as a unified execution layer for AI agents, with PwC describing the system as the central nervous system and powering system of enterprise AI agents. The OS will also enable companies to utilize different enterprise systems, including SalesForce OpenAI, Azure, Anthropic, GitHub, Google Cloud, and more. PwC reveals real-world solutions to clients through AI agents The audit firm revealed several situations its AI agents had provided PwC clients with real-world solutions. The announcement confirmed that PwC had helped a tech company revamp user engagement using AI agents by integrating an AI agent-powered omnichannel contact center. The company highlighted that the successful integration led to an improvement in customer satisfaction by approximately 10%. The AI agent system…
Filed under: News - @ March 28, 2025 12:23 pm