Verint's 2026 research exposes a critical gap between AI investment appetite and operational readiness in contact centers. Whilst 87% of leaders plan to increase spending on automated agent assistance and 94% report performance gains from AI tools, the underlying infrastructure remains fragmented. The average contact center operates across three or more technology providers, with 20% managing five or more—a configuration that prevents AI from accessing complete customer context. This fragmentation directly undermines the shift from cost-center thinking to value-center positioning, which 62% of leaders now claim to embrace. The performance metrics look compelling on paper: 75% see gains in agent training, 78% in evaluation and performance management. Yet these gains remain isolated within individual systems rather than connected across the full customer journey. For CX teams already running multi-vendor stacks—whether combining Zendesk with Salesforce, Freshdesk with workforce management tools, or layering in quality platforms—this finding should trigger immediate audit questions about data flow and integration discipline.
The real measurement challenge emerges when organizations attempt to prove value-center status. Claiming improved business outcomes requires demonstrating better resolutions, stronger loyalty, and cleaner journeys—not simply lower handle times. This demands systems that track outcomes across channels and touchpoints, yet most contact centers lack that visibility. Supervisors, identified as the next battleground for AI investment, face particular risk: a dashboard pulling from incomplete data creates false confidence rather than actionable insight. Rebecca Wettemann's production readiness concern—ensuring AI interactions are genuinely positive and cost-efficient—cuts to the heart of the problem. Teams cannot control what they cannot measure, and fragmented data prevents measurement at scale. The customer perception gap reinforces this: whilst 64% of consumers have seen AI's impact, only 62% view it positively, suggesting that performance gains within isolated systems do not translate to meaningful experience improvements.
For CX professionals, the strategic implication is stark. The highest-leverage investment in 2026 is not another automation layer but integration discipline and data unification. Teams must audit their technology stacks ruthlessly, prioritise API connectivity and data governance, and define AI success through business outcomes rather than operational metrics alone. The vendors winning this cycle will be those enabling seamless data flow across platforms—making the case for consolidation or deep integration partnerships increasingly difficult to ignore. Without this foundation, AI spending becomes a cost centre expense dressed in transformation language.
Verint has found that contact center AI investment is accelerating, but fragmented data still threatens its business value. The company’s State of Contact Center AI 2026 report found that 87% of contact center leaders plan to increase spending on automated agent assistance. It also found that 62% no
Verint Warns AI Value Needs Better Data CX Today