Cisco wants AI agents to work inside Webex meetings, messages and customer-service workflows, giving IT teams new integration and oversight decisions.
Cisco announced new agentic capabilities at WebexOne on Oct. 7, designed to help AI agents use shared context and carry out multi-step tasks across collaboration and customer-service systems.
The announcements include Dialog for maintaining customer context across interactions and planned capabilities for agents to participate in Webex spaces, meetings and calls. Several features remain forthcoming
Jeetu Patel, President and Chief Product Officer at Cisco says that “the next era of work isn’t about bolting chatbots onto yesterday’s tools,” but rather “about AI agents working alongside people and teams.”
Webex for agentic collaboration
Cisco’s Webex is bringing together enterprise context, collaboration software and AI agents to its platform. The company is extending this idea beyond video conferencing into workplace management and customer service.
Cisco describes workflows in which employees could @mention an analytics agent in a Webex space to retrieve usage statistics, then ask a presentation agent to update a PowerPoint deck.
For customer service, Cisco introduced Dialog, a software layer connecting enterprise systems with the Webex AI Agent platform. Cisco says it is designed to maintain customer context across interactions and coordinate follow-up work after a conversation ends.
Cisco anticipates beta availability in the first quarter of calendar 2027, with release timing subject to change
Cisco says Claude, powered by Claude Managed Agents, will be able to join Webex spaces, meetings and calls. Separately, the Webex Suite Model Context Protocol (MCP) integration brings Webex context into OpenAI dots. Availability of dots within Webex is planned for a future release.
Connecting agents to multiple applications makes data permissions and oversight important deployment considerations.
Cisco says AI Agent 360 brings together agent security and monitoring capabilities, including Cisco AI Defense and Splunk observability. The newly announced Agent Observability with Splunk capability is planned for general availability in December 2026.
What IT Teams Should Check Before Deployment
IT teams should assess where these capabilities could improve existing workflows and what access controls and human oversight they would require.
For customer-service teams, agentic AI could reduce repetitive information gathering and help coordinate complex requests across multiple systems. Additionally, businesses could automate parts of workflows that currently require employees interacting with several cross-platform tools so as to accomplish a task.
Cisco has positioned agentic AI as a way to connect collaboration, workplace operations and customer service. For enterprises, the potential benefit is not simply having more AI tools. It is coordinating work across systems that have traditionally operated separately.
For IT teams, the next step is to identify a workflow worth testing, confirm feature availability and licensing, and define what agents can access or change. A limited pilot with human approval for sensitive actions would help organizations evaluate results before expanding deployment.
Read more: Learn why enterprise approval and audit controls matter when AI agents act across company systems.