Three-Quarters of Companies Roll Back AI Customer Service Tools After Launch
Most enterprises have moved beyond pilot programs for AI customer service. They're now discovering the hard way that deployment at scale reveals problems that testing missed.
According to data from Sinch, 62% of companies already have AI communication agents running in production. Yet 74% of organizations have rolled back or shut down at least one of these agents due to governance concerns.
The rollbacks aren't a sign of failure. They're evidence of better monitoring. "Higher rollback rates reflect better monitoring and control, not weaker performance," said Daniel Morris, Chief Product Officer at Sinch. The most advanced organizations aren't failing less - they're catching failures sooner.
The Real Problem: Operational Reliability
The challenge isn't building AI agents. It's keeping them reliable once they're handling actual customer interactions at scale.
Engineering teams are spending most of their time building safety systems instead of improving customer experience. Morris calls this the "guardrail tax" - the hidden cost of managing AI risk that should be handled by the communications infrastructure itself.
Where Companies Are Actually Investing
AI spending has shifted dramatically. Enterprises now invest more in trust, security, and compliance (76%) than in AI development itself (63%).
Nearly all respondents (98%) plan to increase AI investments in 2026. But the bigger shift is structural: 86% are evaluating or considering new communications providers, and 55% are building custom infrastructure to maintain context across different channels.
For customer support teams, this means the focus is moving from "do we have AI?" to "can we trust it?" and "can we control it?"
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