Fifty-one percent of consumers say businesses fall short of their service expectations, up from 46% the year before. Verint put that number on a screen at MGM Grand on June 24, and Anna Convery, Verint's chief marketing officer, spent the first thirty minutes of Day 2 making the case that the problem is execution, not investment. Eighty-seven percent of businesses plan to increase customer-facing AI spend, and the same percentage plan to increase agent-assist AI (Verint State of Customer Experience, 2026). Convery put it plainly: broad investment does not guarantee broad results.

The Verint State of Customer Experience report, now in its fifth year, surveyed 5,000 U.S. consumers between January and February 2026. The headline finding that most coverage will focus on is the 51% dissatisfaction rate. The more useful finding sits one layer down: 69% of consumers who currently prefer a human agent say they would switch to AI if it fully resolved their issue. Among 18- to 34-year-olds, that figure rises to 93% (Verint, 2026). The push for human agents is a performance accountability signal, not a sentiment shift.

The Busy Work Tax Is a Structural Problem

Convery broke down where the nine minutes per call go: 3.2 minutes gathering context, 2.7 minutes searching for knowledge mid-interaction, 3.0 minutes writing after-call summaries. None of that time serves the customer. All of it is addressable with tools that exist today.

The customer-reported outcome slides put dollar figures on what removing that tax looks like across a customer base. One customer saved $10 million through improved self-service containment. Agent capacity savings across customers reached $70 million. Supervisor capacity, an often-overlooked cost center, generated $6 million in additional savings. These are Verint-reported, unaudited customer figures presented on stage.

The churn and revenue numbers were specific. Customers reported a 16% reduction in churn, a 48% increase in sales, and a 12-times improvement in Net Promoter Score (Verint, 2026). The sales number is the one most contact center operators will pause on, because it repositions the contact center from a cost line to a revenue line. That repositioning is the strategic argument Verint is making to their customers, and it is one that boards and CFOs will engage with in a way they will not engage with handle-time metrics.

BT Built the Business Case Twice Before Scaling

Anthony Cass, Director of Contact Centre Sales and Digital Commerce at BT Group, walked through a three-year deployment of agent-assist coaching tools across BT's sales contact centers. The entry problem was cognitive load. BT had been launching fixed-mobile convergence products, insurance, and subscriptions simultaneously, asking agents to handle up to seven legacy systems in a single call. Sales pitch rates were declining as agents struggled to manage the complexity.

The Verint agent-assist coaching bot surfaced real-time prompts during calls, first focused on selling cues, then expanding into conversational quality signals tied to BT's sentiment tracking. The initial deployment covered 100 agents over 12 weeks. BT then rotated in a different cohort of 100 agents for a second 12-week pilot, specifically to rule out false positives from concurrent system changes. Only after that second proof did they scale to operational communities.

At full deployment across the sales contact center, BT's cross-sell rates increased by 10%, translating to approximately $9 million annually in additional revenue (customer-reported, unaudited). Three weeks came off new-agent onboarding time to competency. BT has since completed rollout of the conversation summarization bot across 15,000 agents, cutting an average of 30 seconds per interaction across a base handling several million calls per month.

The figure Cass cited on onboarding time reduction matters beyond its face value. Contact centers with high first-time employee volume, which BT specifically identified as a growing share of their agent base, are paying a hidden productivity tax on every new hire. Cutting three weeks of ramp time across that population is a capacity number that compounds.

Columbia Bank Ran a System Conversion With Zero Headcount Added

Laura Green, SVP Director of Digital Onboarding and Contact Center at Columbia Bank, came to the contact center role without a contact center background. Her first diagnostic problem was that she could not identify why call volumes were high. Agents were selecting wrap-up codes alphabetically, not accurately. "Account balance" appeared at the top of the dropdown list and was the most common code. It had nothing to do with why customers were calling.

Trending Topics, the Verint analytics tool that surfaces call drivers from interaction data rather than from agent-coded wrap-ups, identified the real driver within weeks. One routing change, informed by that data, produced an immediate reduction in call volume. Green described the feedback loop: Trending Topics surfaces the pattern, the team takes action in the interactive voice response system, and the effect is visible the next day.

The operational proof came during a major core banking platform migration in February. Green expected the conversion to spike call volume and wait times. By day two of the conversion, wait times had dropped to nine seconds. Since then, Columbia Bank has not added a single net contact center headcount.

That outcome is the kind of figure that reframes the vendor conversation. Headcount containment during a major system conversion, in banking, with inbound volume uncertainty, is a board-level risk management outcome, the kind that gets a contact center leader a seat at the table.

The Merger Integration Model Is Worth Watching

The integration approach Verint is taking with Calabrio, the workforce management platform brought into the portfolio under Thoma Bravo. The model described in the analyst briefing and in customer conversations is a back-office unification with customer-facing pathways kept intact. Calabrio customers continue working with Calabrio products and contacts. Verint customers do the same. The combined platform capability becomes available to both bases without requiring customers to change how they engage with the vendor.

This matters for mid-market buyers in particular. Calabrio's installed base skews smaller than Verint's enterprise concentration. A combined portfolio that covers enterprise and mid-market without forcing either segment into a different product experience gives Verint addressable market expansion without the integration friction that typically drives customer churn during acquisitions.

My own read, which I noted on the floor and not from any briefing: workforce management and CX automation share enough underlying data, interaction records, agent performance signals, scheduling inputs, that the longer-term platform play is likely to extend well beyond the contact center. The patterns that optimize agent scheduling in a contact center are close cousins to the patterns that optimize field service dispatch, back-office queue management, or branch staffing in financial services. Whether Verint moves in that direction is a roadmap question, not a current product question. But the data foundation they are building from 25-plus years of contact center interaction records is a reasonable starting point for it.