Staying in the loop: How AI could improve customer communication in consumer credit

Artificial intelligence is increasingly being used across financial services to manage customer interactions and streamline internal processes. In consumer credit, where firms communicate with customers about borrowing, repayments, and financial difficulty, AI tools have the potential to improve both efficiency and clarity.

As AI adoption increases, firms must ensure these technologies are used responsibly within a regulatory environment shaped by the FCAs Consumer Duty and its emphasis on delivering good outcomes for customers.

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Andrew Marsh

CEO

Marsh Finance

Improving customer service responsiveness

Customer service teams in consumer credit firms often handle large volumes of routine enquiries. Customers may contact lenders to check payment dates, request settlement figures, or better understand their agreements.

AI-powered chat or messaging systems can quickly answer straightforward questions, giving customers faster access to basic information and reducing wait times. This can be particularly useful outside of normal business hours.

Importantly, automated systems should not replace human support. Customers must still be able to speak with an adviser when issues become more complex or sensitive, such as when they are experiencing financial difficulty.

Supporting better complaint handling

Complaint handling is another area where AI can provide support. Modern AI tools can analyse written complaints and identify common themes, recurring issues, or potential regulatory risks.

This type of analysis can help firms detect emerging problems earlier and address root causes rather than simply responding to individual complaints. In turn, this may help improve processes, customer communication, and product design.

While AI can support analysis and triage, decisions about complaint outcomes should always involve appropriate human oversight.

Enhancing affordability conversations

Affordability assessments remain central to responsible lending. AI tools can assist advisers by analysing customer data and highlighting potential indicators of financial stress.

For example, systems could flag unusual changes in payment behaviour or patterns that may suggest a customer is struggling. This insight can help advisers ask more relevant questions and offer appropriate support where needed.

AI may also help simplify complex financial information. Tools that translate technical agreement terms into clearer, plain language explanations could make it easier for customers to understand their commitments.

Balancing innovation with responsibility

While AI offers clear opportunities, it also raises important ethical and regulatory considerations. Firms must ensure that automated systems do not introduce bias, reduce transparency, or create barriers for vulnerable customers.

Customers should understand when they are interacting with automated tools and always have the option to speak with a person. Used thoughtfully, AI can help firms communicate more clearly, respond more quickly, and identify customer needs earlier.

Ultimately, technology should enhance human judgement, not replace it. In consumer credit, trust and clear communication remain at the heart of good customer relationships.

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