Sinch Study Finds 74% of Enterprises Rolled Back Live AI Customer Agents Due to Governance Failures
Sinch announced in a press release findings from its global research report, *The AI Production Paradox*, showing that 74 percent of enterprises have rolled back or shut down an AI customer communications agent after deployment due to governance failures. That figure rises to 81 percent among organizations with mature governance frameworks.
The study surveyed 2,527 senior decision makers across 10 countries and six industries. It found that 62 percent of enterprises already have AI agents live in customer communications, but many encounter reliability and control issues after deployment. Despite these challenges, 98 percent of respondents plan to increase AI investment in 2026.
According to the report, enterprises invest more in trust, security, and compliance than in AI development, with 76 percent prioritizing governance measures over the 63 percent focused on building AI systems. The research also found that 84 percent of AI engineering teams spend at least half of their time maintaining safety infrastructure.
Sinch noted that communications infrastructure satisfaction was the strongest predictor of successful AI deployment. While 87 percent of respondents viewed high performance infrastructure as essential, more than half said their current provider falls short, and 86 percent are evaluating new communications providers.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
More from: Regulation
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Market report
AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation
The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.
Read more