Handling Customer Feedback with AI Sentiment Analysis

Using AI-powered sentiment analysis to enhance customer service and improve operational efficiency

HTB

The challenge

Hampshire Trust Bank (HTB) is a specialist lender known for providing award-winning products and services across development, bridging and wholesale finance, specialist mortgages and savings, with impressive 4.6-star ratings on review platforms.

All financial institutions must meet regulations to identify and address customer complaints within specific timeframes and also provide appropriate support to vulnerable customers. HTB’s complaint identification process was manual and reliant on simple keyword searches. It was dependent on specific team members and limited to weekly reviews of the relevant mailboxes. HTB wanted to find a way of managing this which totally negated the risk of missing any potential complaints and took less staff time to manage.

Focus: Where it matters

With vast experience in Liberty Create, our low-code solution, HTB approached Netcall about implementing an AI-powered sentiment analysis application. This would enhance their customer service operations by quickly and efficiently identifying and addressing emails showing customer dissatisfaction, which might lead to formal complaints, and it would also help to prioritise urgent customer issues, enabling them to react quickly to resolve the issue.

HTB

“Our AI-powered sentiment analysis solution rapidly processes vast amounts of email data. Its efficiency allows our team to focus on resolving customer enquiries and issues rather than sorting priorities. The streamlined process ensures swifter responses and better customer outcomes, upholding our reputation for exceptional customer service.”

Ed Eames

Head of Customer Savings Operations, Hampshire Trust Bank

The solution

HTB

“Liberty Create has enabled my development team to work with remarkable agility. The ability to rapidly create and refine applications to meet ever-evolving business needs has significantly enhanced our efficiency, allowing us to deliver a wealth of new features to end users and customers with speed. With the integration of AI, we’ve been able to advance our processes while ensuring exceptional customer service, our Sentiment Analysis application launch is a prime example of this.”

Trina Burnett

Development Lead, Hampshire Trust Bank

The result

  • Reduced manual processes: Automated processes have increased efficiency and team capacity and manual report production
  • Better prioritisation: Customer Service Teams focus on the most urgent cases first
  • Faster response for customers: Identifies negative sentiments early, allowing for quicker intervention
  • Reduced escalations: In many cases, addressing customer concerns early, prevents them becoming formal complaints
  • Increased support for vulnerable customers: Helps identify customers who may need additional assistance
  • Monitors multiple mailboxes: Monitors all relevant mailboxes instead of just one primary inbox
  • Reduced manual effort: Time is saved in running reports and prioritising cases
  • Audit trail: Provides a clear audit trail of how each case was handled
  • Regulatory adherence: Ensures complaints are identified and addressed within required timeframes and minimises the risk of missing complaint handling deadlines
  • Complete documentation: Comprehensive records for regulatory audits.
Inspiring future enhancements

The success of the initial implementation quickly inspired plans for expanding sentiment analysis capabilities further across other channels and departments. HTB are planning to add functionality to raise formal complaints directly from the sentiment analysis interface by integrating with the Complaints System. They are looking at voice call analysis, converting phone calls to text for sentiment analysis, and expanding to other customer communication channels.

Leveraging technology to enhance customer service

HTB’s implementation of AI-powered sentiment analysis demonstrates how financial institutions can leverage technology to enhance customer service, improve operational efficiency and ensure regulatory compliance. By automatically identifying and prioritising customer communications based on sentiment, HTB can respond more quickly to potential issues, support vulnerable customers more effectively and maintain their reputation for exceptional service.

Impact

Faster Response Times

faster identification of emails with negative sentiment, enabling urgent customer emails to be prioritised

Operational Efficiency

reduced time spent manually reviewing emails frees staff to focus on meaningful customer interactions

Seamless Compliance

meeting strict regulatory requirements and eliminating any risk of overlooking critical cases

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