The news: AI is now standard practice in customer experience—90% of organizations use it, but there's no shared playbook for how to deploy it, govern it, or earn customers' trust in it, per Five9’s 2026 Business Leaders CX Report.

Companies are split on the right setup: 34% prefer end-to-end platforms, 34% favor hybrid stacks, and 30% are committed to best-of-breed tools.

Infrastructure shows the same pattern; most are moving to the cloud but still running hybrid environments, keeping options open as the technology and customer expectations keep changing.

Why it’s worth watching: The findings show AI is paying off almost everywhere it's used, especially for self-service and quality checks. But trust hasn't kept pace with adoption.

• ROI is real. Nine in 10 respondents report positive returns across every AI use case, with self-service (42%) and quality assurance (41%) leading deployment, per Five9.
• Handoffs expose the gap: 96% of decision-makers believe they preserve context during most AI-to-human transfers, but 83% of consumers say they have to repeat information after a transfer takes place. That friction erodes trust and threatens efficiency gains.
• Data security is the biggest concern holding companies back from further expanding AI use, and customers are saying they want to know clearly when they're dealing with a bot instead of a person.

Implications for brands: Brands that can assess their CX flow and determine where AI is most effective could reap the benefits of improved customer experience, increased satisfaction rates, and brand trust.

Brands investing in AI CX should also invest in visible human escalation paths. Consumer trust in AI nearly doubles from 26% to 55% when a human option is clear and accessible.

• Match automation to risk: Use AI for status lookups and summaries, reserve human judgment for high-stakes issues like charge disputes, where 60% of consumers prefer human-only handling, per Five9.
• Measure handoff quality by repeat-information rates, not internal assessments. Fund next-year AI budgets based on execution metrics, not deployment counts. 
• Prioritize cloud migration without closing phone lines; voice remains the trust channel for every generation.

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