A customer contacts support after a failed transaction. The agent is ready to help, but resolving the issue requires approval from another team. So the customer waits, gets frustrated, and the agent becomes the face of a problem they cannot resolve alone.

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Situations like this reveal an important truth about customer experience (CX). What customers experience at the frontline often reflects decisions made behind the scenes.

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At our webinar, Investing in the Frontline: The correlation between Employee Experience (EX) and Customer Experience (CX), we brought together industry leaders to explore how organisations can empower frontline teams, use AI more effectively and turn customer feedback into meaningful business improvements.

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The panel featured: 

• Chidinma Asuni, Enterprise Customer Experience and Operations Transformation Leader
• Adeola Omoebokhae, Customer Experience & Business Transformation Consultant
• Temitayo Agboola, VP, Account Management (Merchant Experience)
• Lawrence Idems (Convener & Founder, Customer Success Essential)

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Here are three takeaways from the conversation.

1. Empower frontline teams to solve problems, not just pass them on

Giving employees autonomy sounds straightforward until businesses must decide how much authority to grant them, particularly in financial services, where compliance and risk are critical.

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Chidinma Asuni argued that autonomy should depend on the nature of the request and its associated risk.

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“It doesn’t, to me, translate to giving them unlimited discretion to do whatever they want.” 

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Instead, she advocated a tiered approach. Agents should be able to resolve some requests independently, initiate actions on others and complete initial checks on more complex cases before escalating them to specialist teams.

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“If you give the agent access to the right systems, they can do this and get this off your operations queue.”

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This approach reduces unnecessary handoffs and gives employees greater ownership of customer issues. But authority alone is not enough. Frontline teams also need the training and support to handle difficult interactions.

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Adeola Omoebokhae, drawing on her contact centre experience, outlined a framework for preparing employees: prepare, equip and recover.

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“The process of preparing people is to train them for the emotional reality,”.

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That means exposing new employees to realistic customer scenarios, equipping them with the right tools and helping them recover after emotionally demanding interactions.

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2. Use AI to make customer interactions more relevant

As organisations introduce AI into customer support, the priority should not be automation for its own sake. It should be identifying where technology can improve service without compromising the customer experience.

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Lawrence Idems challenged the assumption that better service necessarily means more human interaction.

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“Customers don’t want more human interaction. They want more relevant human interaction,” he said.

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AI can help agents understand customer history, identify recurring issues and reduce repetitive administrative work. This gives employees more time to focus on cases that require context, judgement and empathy.

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Lawrence offered a simple principle for deciding what to automate:

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“I teach this simple principle: automate the task, not the relationship.”

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Automation can make an inefficient process faster without making it better. Businesses need to consider not only which tasks AI can handle, but also where human involvement remains essential.

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That requires training beyond teaching employees how to use new tools. They need opportunities to practise difficult scenarios, learn from mistakes and develop the judgement to know when to rely on AI and when to step in themselves.

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3. Turn frontline feedback into business improvements

Frontline employees hear customer frustrations firsthand. They often spot recurring problems before they show up in performance reports. Yet organisations can miss this valuable source of insight when they treat customer support as the final step in a process rather than a contributor to business decisions.

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Temitayo Agboola highlighted the importance of recognising this knowledge.

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“Most companies need to recognise the customer intelligence that actually sits with frontliners, because they are the ones speaking to customers every day,”

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For that insight to drive improvements, businesses need a structured way to capture feedback, assign responsibility and track what happens next.

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Temitayo recommended recording customer feedback in a CRM or ticketing system, then reviewing recurring themes with teams such as product, engineering, compliance and settlements. Issues need clear owners and agreed timelines, and customers should hear about relevant fixes.

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This turns individual complaints into actionable information that helps businesses identify patterns, improve products, and address the causes of repeated frustration.

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Frontline involvement also matters before changes reach customers. Product and engineering teams may understand what a feature is designed to do, but support teams often know which questions customers will ask and where confusion is likely to arise.

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Better customer experiences start with better-supported teams

At the end of the day, empowering frontline employees, using AI thoughtfully and acting on customer feedback are all connected to the same busienss challenge: giving people the authority, tools and support to deliver better outcomes.

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Technology can make service faster, but lasting improvements depend on the decisions organisations make about their people, processes and products.

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Watch the full discussion on YouTube to hear the speakers share practical examples and explore how businesses can build stronger frontline teams and improve customer experiences.

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