AI Fails to Fix B2B CX as ‘Coordination Tax’ Slows Teams
Despite massive investments in AI tools, a new report shows that most B2B teams are stuck paying a high “Coordination Tax” while managing disconnected customer work behind the scenes.
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For years, AI has been positioned as the definitive solution to CX inefficiencies, promising faster responses, seamless workflows, and reduced operational strain.
Yet, beneath this narrative, a different reality is unfolding, one where increased automation is exposing deeper structural gaps, leaving B2B teams grappling with complexity rather than clarity.
That’s according to a study of 700 B2B customer service, operations, and account management leaders conducted by Front, a customer operations platform built for B2B complexity, for its new report, The Coordination Tax: The Invisible Line Item in B2B Customer Operations.
The findings point to a largely ignored failure in modern customer support: the systems companies rely on weren’t built for how B2B work actually gets done. Layering AI on top has done little to solve the problem.
B2B CX Isn’t Broken by Speed. It’s Broken by Coordination
The report finds the real challenge in B2B CX isn’t answering questions, like it often is in B2C, where requests are simple and come from a single channel. It’s in coordinating the people, systems, and context required to actually resolve them.
In B2B, issues can originate anywhere and span multiple teams, leaving teams chasing information, switching tools, and aligning across the business just to move work forward.
“For years, companies have been sold the idea that faster responses and more automation would fix customer support,” said Dan O’Connell, CEO of Front.
“But in B2B, customer issues don’t live in one inbox or one team. They cut across the entire business. Most support tools ignore that reality. So 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. Until companies address the coordination gap, the problem won’t go away.”
AI Adoption Is Rising, But So Are Operational Frictions
What emerges from the data is a paradox: the more AI is introduced, the more visible the cracks in underlying systems become. Rather than removing complexity, AI often amplifies it when the foundation isn’t designed for coordinated work.
New data from the report shows just how widespread this breakdown has become.
- When AI breaks, coordination is usually the culprit. 24% said AI created more coordination work, 22% reported lost context during handoffs, and 20% saw requests routed incorrectly.
- AI is everywhere, and it’s creating new headaches. 93% of companies use AI in customer operations, yet 71% reported significant issues in just the past three months.
- Teams spend nearly 3x as long coordinating work than solving customer issues. B2B organisations report spending three hours coordinating work for every hour spent resolving customer problems, a dynamic that has quietly become the norm.
- Top performers are burning out. More than one-third of teams lost a high performer to “coordination burnout” last year.
- Most companies aren’t even measuring the problem. 42% don’t track coordination at all, leaving the biggest source of inefficiency completely invisible.
Even as companies upgraded their tools and layered in AI, the research found the core work didn’t get easier.
Resolution times improved on paper, but the effort required to solve complex issues stayed the same or increased. As systems multiplied, so did the need to jump between them, pushing more work into side channels like email, Slack, and meetings, where critical context gets fragmented and lost.
Burnout, Broken Workflows, and the Hidden Cost of Coordination
What the report ultimately surfaces is not just an operational inefficiency, but a structural one.
Coordination has become an untracked cost embedded in everyday workflows. It shows up in the time spent switching between tools, in repeated conversations to recover lost context, and in the growing reliance on informal channels to get work done.
Over time, this invisible layer of effort compounds, slowing teams down while masking the true cost of customer operations.
While many organisations continue to struggle with coordination overhead, the report finds that one in seven organisations has flipped the equation—spending more time solving customer issues than coordinating them.
These organisations are taking a different approach: building coordination into their systems, rather than layering on task automation.
“In B2B, customer issues bounce between support, operations, finance, and account managers before anyone can fully resolve them,” said Jakari Robinson at Flex-Tec.
“Before Front, keeping track of that context meant digging through inboxes and Slack threads. Now we handle more than 700 customer emails a day with shared visibility across teams, so everyone sees the same conversation and we can resolve issues faster without things falling through the cracks.”
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