The Trust Gap
New research from Five9, surveying 3,000 consumers and 600 CX and contact center decision-makers across the US, UK, and Germany, finds that half of consumers believe AI can handle most customer service tasks they need help with. But that confidence collapses sharply once money enters the conversation: under a quarter of consumers said they trust AI to accurately approve refunds, make financial adjustments, or determine when a case needs escalation, and only 18% believe AI can understand complex issues or handle sensitive situations appropriately.
Why This Matters for BFSI and Collections
This is not a general AI skepticism problem; it is specific to financial decision-making, which puts it squarely in collections’ territory. A payment plan approval, a settlement negotiation, or a hardship determination is functionally the same category of decision customers say they do not trust AI to make alone. The data offers a clear mitigation, though: 55% of consumers said they trust AI more when there is an obvious option to reach a human, and just over half said they are less likely to do business with a company that removes human support entirely. For collections operations, the message is not that AI should stay out of financial conversations. It is that visible, easy human access has to be part of the design, not a fallback discovered only after something goes wrong.
What the Numbers Do Not Say Out Loud
The most revealing finding in this research is not about AI accuracy at all; it is about a perception gap between leadership and customers. Ninety-six percent of CX leaders believe their organization preserves context when a conversation moves from AI to a human agent. Meanwhile, 83% of consumers say they often or sometimes have to repeat themselves during that same handoff. That is not a small measurement error; it is two groups describing what looks like a different system entirely. CX leaders report the technical symptoms clearly enough: human agents lacking visibility into the AI interaction, glitches in the transfer itself, and context or data getting lost mid-channel-switch. But if leadership genuinely believes context is being preserved 96% of the time while customers experience the opposite, that gap itself is the actual risk.
The Practical Read
For collections and BFSI operations, the handoff moment deserves as much design attention as the AI conversation itself, arguably more, given that 87% of consumers report frustration by the time they reach a human after an AI interaction. A customer escalating from a voicebot mid-payment-negotiation should not have to restate their account details, their hardship situation, or what has already been discussed. The human agent needs that context waiting for them, not assembled after the fact. This matters even more given that 52% of consumers said an AI-powered channel was their only support option available to them. Getting the AI-to-human transition right is not a secondary concern behind getting the AI conversation right. For anything touching money, it is the more important half of the design.