Key Group Case Study

Scaling Quality, Not Headcount: The 6x Efficiency Leap at Key

greater efficiency compared to human-only assessment.

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A QA process that used to take 90 minutes per case, now takes 15 minutes using Aveni Detect

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📢 The Challenge

With a customer base of over-55s, Key is acutely aware of the need to support potentially vulnerable customers, with Quality Assurance (QA) forming an important part of this. On a monthly basis, Key handles thousands of client interactions with a typical meeting time of around 90mins. Manual review of these calls by QA teams means only a small portion of these interactions are able to be assessed. Their existing process relied on random sampling and listening to a full call to catch any issues.

Due to multiple lines of defence, at times manual reviews were being duplicated by different teams. Key also wanted to improve the way it identified and served its vulnerable customers. Historically, identifying customer vulnerability or those who are at high risk has been the role of an adviser, requiring them to flag a potential issue for further investigation. The challenge there is that identification of vulnerability is often subjective and case reviews were lengthy.

💡 The Solution

Key’s calls are uploaded to Aveni’s platform where they’re turned from speech to text. Our platform uses advanced Natural Language Processing and AI and is trained with Key’s data to meet their specific needs. After analysis, the data is presented to assessors on an intuitive dashboard where they can quickly and easily navigate through calls, search them for specific terms and prioritise the review of ones that have been scored and flagged. Specific keywords and phrases can be automatically flagged and routed to the correct team at Key for review. For example, certain topics mentioned in conversations such as a bereavement or illness, may be an indication that a customer is potentially vulnerable and requires support from one of Key’s ‘vulnerability champions’.

🎯 The Result

Feedback from QA assessors reported a significantly more efficient review process with up to 6x greater efficiency compared to human-only assessment; users noted they now have greater visibility across their customers and are equipped with a tool that allows a more strategic approach to emerging trends such as those related to the pandemic. Improvements in efficiency reflect only the early value of speech analytics, and the more Key uses the platform, Aveni’s embedded learning capabilities will continue to improve efficiency gains and unlock greater value across the operating model.