Transformation in action: Why AI deployment depth makes the difference

Summary

AI adoption is widespread in customer service, but the report identifies a deployment gap between organizations experimenting with the technology and those integrating it deeply into operations. Based on a survey of 2,470 global support professionals, it finds that 82% of senior leaders invested in AI in the past year and 87% plan to invest in 2026, while only 10% report mature deployment. Mature teams put AI at the core of workflows, give it meaningful responsibility, and use continuous improvement to achieve higher-quality, more consistent support; 43% report that outcome, nearly double the rate for teams at initial deployment. Lightspeed illustrates the approach by combining tailored training, executive alignment, content investment, and AI operations discipline, reaching 72% Fin resolution without human intervention across 43,000-plus monthly requests and 12-plus languages.

Takeaways

1. 1

   Only 10% of organizations report mature AI deployment, despite 82% of senior leaders saying their teams invested in AI in the past year and 87% planning to invest in 2026.

2. 2

   Mature teams integrate AI into critical workflows, use it for proactive engagement and customer tasks, and report higher-quality, more consistent support at nearly twice the rate of teams in initial deployment.

3. 3

   Lightspeed combines foundational and in-house training, leadership alignment, content investment, and ongoing improvement; Fin resolves 72% of conversations without human intervention and handles 43,000-plus customer requests monthly.

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