Organizations running on-premises UCCE and private cloud environments face a critical challenge: how to adopt generative AI without compromising security, data sovereignty, or control. This session provides a technical and strategic framework for deploying AI agents in high-security contact center environments while preserving the integrity of existing infrastructure.
We will explore four key areas. First, you'll learn how Customer Voice Portal (CVP) and existing call flows integrate with Cisco AI Studio, including the technical handoffs and orchestration between legacy logic and modern AI services.
Next, you'll learn how to address data sovereignty and security by defining clear boundaries between private cloud environments and externally processed workloads to help close the trust gap.
We'll then explore strategic AI orchestration and how to move beyond a single-bot model toward a multi-agent architecture. Topics include Silent Transfer, Announced Transfer and MCP handoffs, as well as how to establish boundaries for agent specialization.
Finally, we'll cover governance and advanced observability, including how to implement Cisco's AI Impact Assessment framework to manage fairness and safety while proactively monitoring for hallucinations, accuracy drift, and system prompt changes.
You'll leave with a clearer path for modernizing UCCE with secure, observable AI while maintaining control over infrastructure, data, and deployment-and a practical framework for bridging legacy reliability with autonomous customer experience.
CE credits: 2