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CX/CS

CX/CS

CX/CS

How CS leaders are finding the balance between using AI to spot churn while leaning on human connection for loyalty

How CS leaders are finding the balance between using AI to spot churn while leaning on human connection for loyalty

Lorikeet News Desk

Jun 23, 2025

TL;DR

  • AI can identify customer dissatisfaction with precision, but human interaction remains crucial for resolving issues.

  • Chris Rule, Head of CS at short-term rental management platform Turno, discusses the need for human engagement in customer retention, despite AI's ability to flag potential churn.

  • AI excels in handling routine inquiries, resolving 40-50% of support tickets at Turno, allowing staff to focus on complex issues.


There's a real opportunity for AI to identify who's at risk by learning from the behaviors of those who've left. But even if AI tells you exactly who to talk to with incredible accuracy, who is going to speak with them?

Chris Rule

Head of Customer Success | Turno

AI can now pinpoint customer dissatisfaction with near-surgical precision, ushering in an era of automated efficiency. But identifying a problem is one thing, resolving it with empathy and trust is another. That final, human leap is where AI strategies still fall short.

We spoke with Chris Rule, Head of Customer Success at Turno, a platform for short-term rental cleaning and maintenance. In a field where guest experience is everything, Rule balances tech efficiency with a firm commitment to the human element.

AI spots, humans save: "There's a real opportunity for AI to identify who's at risk by learning from the behaviors of those who've left," Rule says. "But even if AI tells you exactly who to talk to with incredible accuracy, we hit a ceiling: who is going to speak with them? I haven't seen AI that can engage with a customer at a level that will bring them back from the brink." While AI can flag potential churn, Rule identifies a crucial boundary when it comes to the nuanced work of retention. "You still need to go talk to that customer, you still need to be able to pick up the phone and have that conversation. That core of customer success isn't going away anytime soon," says Rule.

Answers on tap: For more routine interactions, Rule sees AI excelling as a kind of "content concierge." "AI is doing a fantastic job taking content we've already created and surfacing it reactively," he says. "The answer to the question was always there; AI just removes the customer's burden of seeking it out."

At Turno, AI handles initial triage for most support tickets and resolves a significant portion—around 50%—of common inquiries. The key is speed and accuracy for these simpler matters, which then frees up his staff. "Our AI bot gets very similar CSAT scores to our human agents. They're just answering faster."

Our product is very human. It’s connecting people for a service that has a lot of emotionality tied to it. AI and robots aren't cleaning Airbnb properties yet; you need to trust a person.

Chris Rule

Head of Customer Success | Turno

The human safety net: "Our product is very human," Rule says. "It’s connecting people for a service that has a lot of emotionality tied to it. AI and robots aren't cleaning Airbnb properties yet; you need to trust a person." Such direct human connection reveals where automation hits its ceiling.

While AI capably handles basic questions, certain sensitive situations necessitate immediate human involvement. "When it detects a triggering phrase, the AI just immediately sends it to a human. We don't want an artificial barrier," explains Rule. For the "inevitable 0.02% of issues," Rule turns to humans for the solve. "It's a very human approach. We find another cleaner, we do what it takes, because a guest's experience is on the line."

Retention takes heart: "You can't really take humans out of hospitality. You have to meet, if not exceed, customer expectations," explains Rule. That commitment to quality care drives their tiered approach to AI and human support. "Maybe a year from now I'll be eating my words, but I think we're still at a place today where AI can't engage with customers to try to bring them back or to try to reduce the churn risk," says Rule.

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We're building an AI system that’s capable of providing high quality, human assistance because every company should be able to scale exceptional CX.

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