Enterprise AI, in production.
    Four desks, one beat.

    Cisco’s Agentic AI Expands Beyond Contact Centers

    ManufacturingNews

    Cisco’s Agentic AI Expands Beyond Contact Centers

    New Webex AI Agents automate tasks, assist human workers, and streamline IT and network operations

    Last updated


    Cisco is advancing enterprise AI beyond traditional chatbots with a strategy centered on agentic AI: intelligent software that can act, decide, and coordinate tasks rather than simply assist users. At its WebexOne 2025 conference, the company introduced a suite of AI agents under the “Connected Intelligence” umbrella. These agents are embedded into Webex collaboration and contact center workflows, automating tasks like generating action items, transcribing meetings, suggesting polls, scheduling follow-ups, and even functioning as an AI receptionist for Webex Calling.

    The company says their Webex AI Agent provides autonomous customer interaction, resolving inquiries through voice or chat and escalating only when human intervention is required. Cisco AI Assistant enhances human-agent productivity with live transcription, suggested responses, and mid-call summaries, reducing administrative burdens. Multi-agent collaboration is planned for 2026, enabling AI agents to interact securely with third-party systems through standards like agent-to-agent (A2A) and Model Context Protocol (MCP).

    Cisco has integrated these AI agents with enterprise platforms including Salesforce Service Cloud, Amazon Lex, and Epic’s EHR software. This allows agents to securely access customer, clinical, and financial data, orchestrating workflows without leaving the Webex ecosystem. Hardware enhancements via RoomOS 26, supported by Nvidia, include AI-powered Director and Notetaker agents for dynamic camera control, audio zoning to reduce distractions, and 3D digital twins of meeting rooms to improve IT planning and optimization.

    Beyond collaboration, Cisco is applying agentic AI to network and IT operations. Crosswork Network Automation now incorporates AI agents, while the “AgenticOps” model allows humans and AI agents to jointly troubleshoot infrastructure, monitor performance, and respond to system alerts. This integration reflects a broader strategy to embed AI into enterprise workflows beyond customer-facing services.