Cisco Revamps Webex, Adds Hardware, Integrations, and an AI Harness

Summary

Author: Irwin Lazar, President and Principal Analyst

What's the news?

On October 7, 2026, at its annual WebexOne conference, Cisco made several announcements across its Webex and collaboration device portfolio. Highlights include:

  • A new Webex Suite AI-first user experience that integrates Cisco agents and external agents from partners, including Anthropic. The new UI provides AI-guided daily activity views, surfaces urgent tasks, and provides action guidance. It also allows users to collaborate with agents within meetings, calls, and chat.
  • New Webex agents, including AI Coach, which provides employees with presentation feedback, and personal calling agents for Webex Calling supporting inbound and outbound calling.
  • Ceiling Speaker Pro, which uses AI to direct audio to all meeting room attendees.
  • RoomOS 27, which provides room control via natural language.
  • Native support for Google Meet in Cisco meeting room devices.
  • New voice spam and phishing protection (in partnership with SecureLogix) and workplace emergency management capabilities (in partnership with Intrado).
  • Cloud Intelligence for Unified Communications Manager (UCM), allowing on-premises customers to take advantage of cloud-based capabilities while preserving existing investments,
  • Dialog, an AI harness designed to enable agents to move beyond single session customer interactions into coordinated, ongoing engagements with both agents and humans.

Cisco also highlighted end-to-end and Internet of Things (IoT) capabilities that integrate security and agent management across the Webex and device portfolios and that work with networking hardware, such as Wi-Fi access points, to provide space utilization, air-quality management, and other capabilities. Networking and collaboration devices together provide unified support for Cisco’s Places room and space management platform, allowing employees to find open space or space near co-workers, with the ability for the system to learn employee preferences.

Author(s)

Irwin Lazar

Irwin Lazar

President and Principal Analyst

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