Cisco Reframes Contact Centers as Context Hubs for Unified Customer Journeys

When customers reach out to a company, they rarely think about internal organizational boundaries. They view their interaction with a brand as a single, seamless relationship—regardless of whether they're speaking with someone in sales, billing or customer support. Yet most organizations today struggle to meet this expectation because their systems operate in silos, failing to share customer information across different channels and departments. This gap has prompted technology vendors to reimagine the traditional contact center as something new: a context center that maintains a customer's full history and context as they move between touchpoints.

Vinod Muthukrishnan, vice president and general manager of Webex customer experience at Cisco Systems Inc., has spent recent months developing this concept as part of what Cisco terms agentic CX. Muthukrishnan cautioned against loose use of the term "agentic" in the industry, noting that a simple bot handling a single transaction falls short of the definition.

An AI agent that can fill a slot or fulfill a transaction is not agentic. Agentic is much more of a framework of tools and products and processes. The big thing around agentic is going away from just voice agents that can answer a question, fulfill a transaction, to orchestrating a journey, to now evolving all the way to be able to orchestrate a relationship.

Vinod Muthukrishnan, Cisco

Muthukrishnan shared these insights during an exclusive interview at "The AI ROI in Contact Center Summit" with theCUBE Research's Bob Laliberte and ZK Research's Zeus Kerravala, broadcast on theCUBE, SiliconANGLE Media's livestreaming platform. The conversation explored how context centers differ from conventional contact centers and how Cisco is embedding observability and security into every AI agent it releases.

Building Enterprise-Grade AI at Machine Scale

A relationship-centric model only succeeds if it remains secure and reliable at scale, since systems managing entire customer relationships autonomously carry substantially greater risk than those designed to answer isolated questions. Cisco's response is AI Agent 360, a unified control plane that integrates observability, security and agent management rather than treating them as separate offerings from different vendors.

It's never been easier to build an AI agent. It's never been harder to make it enterprise-grade.

Vinod Muthukrishnan, Cisco

Muthukrishnan articulated a core principle guiding this approach: "autonomy without accountability is a liability." This philosophy extends to what he describes as the intelligent front door—Cisco's AI Concierge, designed to preserve customer context across every channel and handoff. He referenced feedback from a Cisco customer workshop that crystallized the vision.

They said there is no wrong door. No matter which touchpoint, what channel, where in the enterprise you knock, the door opens and miraculously it's almost the same person on the other side. The context is continuous, and you're picking up the conversation from where it left off.

Vinod Muthukrishnan, Cisco

Openness Over Lock-In

Cisco is coupling this vision with a commitment to industry-wide openness, endorsing standards including Agent2Agent and the Model Context Protocol to enable Webex agents to operate alongside third-party systems. Rather than binding customers to a proprietary ecosystem, Cisco aims to position itself as the platform on which enterprises build.

https://www.youtube.com/embed/VELxXyeGx9k?feature=oembed

Savings, or what have you, is the entry point, not the exit point. Have a very ambitious North Star, but build a framework where you've understood the risk, the mitigation of the risk and the governance of the platform before you try to scale it.

Vinod Muthukrishnan, Cisco