March 31, 2026
B2B CX Teams Are Paying a Hidden “Coordination Tax” and AI Is Making It Worse
AI was supposed to mean faster responses, smarter routing, and less manual work. In many B2B customer experience teams, the investment has followed the pitch while the results have not. The tools multiplied, the dashboards filled up, and the workload stayed exactly the same. In some cases, it got worse.
New research from customer operations platform Front, based on a study of 700 B2B customer service, operations, and account management leaders, applies the concept of the Coordination Tax to describe the compounding cost of chasing context, switching tools, and aligning across departments only to move a single customer issue forward.
AI Has Added to the Problem
Despite 93% of companies currently using AI in customer operations, 71% reported significant issues in the past three months, and the nature of those issues points to something more structural than a tooling problem.
Rather than eliminating coordination friction, AI appears to have introduced new layers of it. Almost a third of respondents said AI created more coordination work, 22% reported lost context during handoffs, and 20% saw requests routed incorrectly. The promise of automation compressing the distance between a customer issue and its resolution has, for many teams, produced the opposite effect.
As CX leaders themselves have acknowledged, the disconnect between AI ambition and execution remains substantial, with organisations continuing to invest in infrastructure that does not reliably translate into outcomes. The Front research adds a more specific explanation for why: in B2B, the underlying problem was never response speed or automation coverage. It was coordination, and no amount of AI layered on top of a fragmented system addresses that root cause.
The Human Cost
According to the report, the coordination burden is driving people out. More than one-third of teams reported losing a high performer to what the report terms “coordination burnout” in the past year. This links the abstract problem of process overhead to the very concrete reality of attrition. When experienced team members spend the majority of their time chasing information across inboxes, Slack threads, and disconnected tools rather than solving customer problems, the frustration builds up until leaving becomes the rational choice.
In B2B, where relationships are built on a small number of high-value accounts and where resolution quality carries far more weight than it does in consumer contexts, that attrition has a direct effect on the experience customers receive. Institutional knowledge walks out the door, and the coordination problem deepens for the people left behind.
Front CEO Dan O’Connell said: “Companies end up layering on more systems and more AI, while the real work of coordinating people, context, and decisions still happens manually. Teams are working around broken systems. AI won’t fix that.”
Flying Blind
Almost half (42%) of organisations do not track coordination overhead at all, leaving the single largest source of inefficiency in their customer operations entirely invisible to them. Resolution time metrics improve on paper, while the actual effort required to achieve resolution stays the same or increases. As a result, investment decisions divert, and surface-level gains appear as genuine progress.
Executives have increasingly admitted that organisational silos and leadership misalignment rank among the most commonly cited barriers to CX improvement, yet without any visibility into coordination costs, those structural problems remain unquantifiable and therefore easy to defer indefinitely.
What then separates the outliers? The report does identify a minority that has inverted the ratio. Fourteen percent of organisations now spend more time resolving customer issues than coordinating them.
What sets these teams apart is not a better AI tool or a bigger automation budget, but a decision to redesign how work moves between people and systems, so that context travels with the issue rather than getting lost between teams. For everyone else, the lesson is that adding technology on top of a fragmented process will not reduce the overhead. The process itself has to change first.
