What Agentic AI Means for Modern Contact Centers
Agentic AI in contact centers refers to AI-driven agents that can perceive context, decide actions, and coordinate with humans and systems to handle customer interactions end to end, moving beyond static scripts and decision trees toward adaptive, outcome-focused customer service automation. For decades, contact centers relied on IVR menus and scripted bots that forced customers through narrow paths. Today, agentic AI contact centers are shifting to intelligent voice AI agents that interpret intent, pull data from multiple systems, and act autonomously while still handing off to humans when needed. This shift is not just about adding new channels; it is about replacing IVR-style routing with agents that manage work and outcomes. Vendors such as Verint and Five9 are now putting these agents into production, aiming to make self-service more natural, reliable and measurable for enterprises.
Verint’s Agent Factory and Unified Agentic AI Stack
Verint is pushing agentic AI from pilots into production with its Agent Factory and three new intelligence capabilities: Workforce Intelligence, Desktop Intelligence and Quality Intelligence. Built into its CX Automation Platform, Agent Factory lets enterprises design, build and orchestrate prebuilt or custom AI agents and route work to human staff when needed. The goal is to unify how contact centers manage agent behavior, process efficiency and outcomes instead of stitching together point solutions. Verint’s Desktop Intelligence captures desktop activity and turns it into structured data, while Quality Intelligence connects agent speech with system actions to spot outcome discrepancies at scale. According to Verint CEO Dave Rhodes, the company focuses on “modest practical outcomes” and incremental ROI rather than grand promises, reflecting a move toward measurable, production-ready agentic AI contact centers where AI and humans share one coordinated workforce.
From Call Sampling to Full-Coverage Quality and Workforce Insight
Traditional quality assurance in contact centers has relied on small samples of calls, which leaves leaders guessing about the majority of interactions. Verint’s Quality Intelligence aims to change this by automatically examining every interaction, combining conversation intelligence with records of what agents do on their desktops. This shift allows contact centers to match the right agents or AI agents to specific interaction types, identify where digital or self-service options can deflect calls, and surface coaching needs in a data-driven way. Desktop Intelligence supports this by turning multi-system desktop workflows into AI-ready data that can inform workforce management and process redesign. Together with Workforce Intelligence, which adds real-time staffing control, these tools move beyond basic call metrics to a full view of how work flows across human and AI agents, closing the gap between what customers say and what agents actually do.
Five9 Voice AI Agents: IVR Replacement for Complex Self-Service
Five9’s new Voice AI Agents aim to replace legacy IVR systems and scripted bots with voice AI agents that can automate complex interactions for enterprise customers. The release includes AI Agent Studio, a unified environment to build, test, deploy and monitor these agents, giving service leaders a single place to manage voice AI. Five9 highlights features such as multi-agent orchestration across multi-step journeys, human-like low-latency voice, multilingual support, and reliable turn-taking and noise management. Secure tool calling lets the AI connect to enterprise systems for authentication, records and transactions, while context-rich warm handoffs ensure that when a human takes over, the full history travels with the call. According to Five9 research, 65% of organizations are implementing at least one AI use case, and 42% rank self-service automation as a top use case, underscoring demand for IVR replacement with agentic AI.
Toward Learning, Adaptive Voice Agents in Customer Service
The move from legacy IVR to agentic voice AI agents marks a broader shift from rule-based automation to intelligent, adaptive customer service automation. Instead of rigid choice trees and canned scripts, agentic AI contact centers can support dynamic, context-aware conversations that respond to interruptions, clarify intent and handle edge cases. Verint’s orchestration of human and AI agents and Five9’s enterprise-grade Voice AI Agents point in the same direction: a blended workforce where AI handles high-volume, repeatable tasks and humans focus on nuanced or emotional issues. Over time, the data generated by Desktop Intelligence, Quality Intelligence and Voice AI interactions can inform continuous learning, better routing and smarter self-service design. For contact centers, the outcome is not only IVR replacement, but a new operating model built around agents—whether human or AI—that learn, adapt and can be measured by business outcomes, not script adherence.
