Many businesses add a chatbot to save money. Fewer have stopped to ask what happens to the conversation that the bot can’t resolve, because that conversation doesn’t disappear. It gets handed to a human member of staff, and by the time it arrives, the customer is angrier than it needed to be. Chatbots can increase customer conflict.
That’s the piece missing from most conversations about AI and customer service. The debate is usually framed as “will AI replace agents?” The more useful question for anyone running a customer-facing team is: “what condition is the customer in by the time your human agents actually speak to them, and has your team been trained in conflict management to handle them?”
The evidence is now hard to ignore – chatbots can increase customer conflict
Recent consumer research puts the scale of the problem in stark terms: 85% of consumers say they’d rather speak to a real person than an AI system, and only 5% actively prefer AI interactions. Nearly six in ten (59%) report feeling frustrated when dealing with an AI agent, and almost a third (31%) say they’d simply disconnect rather than continue if routed to a bot. Perhaps most telling of all for those weighing up the business case for automation, 57% say their confidence in a company would fall if they believed it relied primarily on AI for support, and 73% report more loyalty to businesses that keep humans in the loop.
Escalated conflict is a different job than first-contact conflict.
This matters for training because de-escalating a customer who is angry is a different skill from de-escalating a customer who is angry and feels they’ve had to fight through automated barriers just to reach a person who can help. The second customer arrives primed to distrust the process, more likely to interpret delay or caution as another attempt to fob them off.
Many conflict management programmes were built around a single interaction: customer calls, agent responds, conflict resolved or not. That model doesn’t reflect how a growing share of contact now actually happens, bot first, human second, if the human even gets involved at all. Teams that haven’t updated their training for that reality are, in effect, training for a customer journey that no longer exists, for a large proportion of their most difficult conversations.
Our conflict management training can take this into consideration, allowing delegates the space in a safe training environment to practise and hone their skills. This will enable them to confidently manage and resolve conflict that has escalated due to the involvement of AI Chatbots.
What this means in practice for training and processes:
Agents handling escalations need to open differently. Acknowledging that the customer has likely already tried to solve this another way and been unsuccessful, defuses a layer of frustration that a standard opening doesn’t address. “I can see you’ve already been through our system for this, let’s sort it properly now” lands very differently to a generic greeting.
Any conflict training should explicitly cover the “already failed once” conversation as its own category, not assume every escalation starts from a neutral baseline.
Conflict obviously has a high emotional content. It’s not what has happened, it’s more how the customer feels about what has happened (ignored, not listened to, disrespected, powerlessness, lack of control, exhaustion, etc.). Often these emotions are not recognised by the customer agent, let alone acknowledged. Emotions that are not acknowledged continue to fester and grow. How to acknowledge these emotions in the correct way can transform the tone of the conversation, reducing emotion, rebuilding trust and creating the conditions for a constructive conversation.
Handling an escalated call is mostly about having skills to control and de-escalate the interaction. If the angry customer maintains control over the call, there is a good chance it will escalate.
If your automation strategy is measured purely on containment rate, the percentage of enquiries the bot resolves without a human, you may be hitting your numbers while making every escalated conversation harder, longer, and more likely to end badly. Given that a large majority of customers say they’d trust a business less for relying too heavily on AI, and that loyalty measurably rises with human availability, treating your escalation team’s training as an afterthought to your automation rollout is a false economy.
The businesses getting this right aren’t the ones avoiding AI. They’re the ones who’ve recognised that automation changes the starting conditions for every human conversation that follows it and have trained their people accordingly.
If your business is experiencing these issues and wants to fully equip your teams to handle and resolve conflict satisfactorily, then get in touch with our conflict training experts today.