Has AI reduced your operating cost by 70%? Or perhaps you've lost customers without seeing it or knowing it.
Photo source: Interactive Powers
Has AI reduced your operating cost by 70%? Or perhaps you’ve lost customers without seeing it or knowing it.
Every quarter, CX dashboards reflect the same thing:
✅ Your cost per interaction has decreased.
✅ Your “AI-resolved” cases are in the majority.
✅ Your CSAT surveys have slightly improved.
The metrics are positive, everything seems to be heading in the “right direction”… saving operational costs.
What doesn’t appear in any report is the customer who tried to resolve their complex problem with the bot, couldn’t, requested a transfer to an agent, stopped interacting, and didn’t return. This customer doesn’t generate a complaint or trigger any alerts. They simply disappear silently, and the bot may even classify them as attended to or even resolved.
The problem isn’t automation. It’s how its real impact is measured.
Well-designed AI services generate legitimate results:
→ An AHT reduction between 25% and 40%
→ An annual ROI between 150% and 250%
→ A break-even target in less than six months.
These general figures justify the investment but only in the right segment of the interaction.
The problem is that these indicators don’t reflect what happens when automation doesn’t scale to human agents in real time.
Studies show that 55% of customers systematically reject being served by a bot in complex situations or complaints. This segment doesn’t disappear when implementing AI: it remains, enters the automation funnel, accumulates answers that don’t help them, and finally gives up on the brand because they feel processed, and their request hasn’t been answered as required with smooth real-time escalation.
🤔 Is your organization evaluating the interactions that AI doesn’t actually resolve?
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