Live Speech Analytics Could Have Saved Banks Millions on PPI Pay-Outs
Banks could have been in a better position to identify costly PPI (Payment Protection Insurance) miss-selling mistakes by using new live speech analytics, saving them hundreds of millions, if not billions of pounds on customer pay-outs.
New, emerging speech analytics technology can help any organisation, and in particular highly regulated banks, be in a position to know exactly what is being said, or sold, during or straight after every phone call handled by their call centre agents.
Analysing all calls as they are occurring gives supervisors the ability to identify errors or omissions and help agents rectify calls to protect the customer, and at the same time save the company millions in regulatory fines or customer compensation.
New Live Speech Analytics can identify miss-selling – innocent or otherwise
Speech analytics solutions have been around for a number of years, providing post-call trend analysis for call centres. Due to limitations in processing speed and prohibitive costs, only a selection of all voice recordings were actually analysed to provide valuable insight into customer and agent behaviour.
Now a new generation of speech analytics technology is emerging via specialist vendors which is taking ‘first call resolution’ to the next level, enabling companies to avoid any risk of miss-selling earlier, to recover quickly from mistakes, or at worst detect them. New speech analytics solutions include the ability to analyse every call as it is happening, in turn triggering live prompts to an agent’s or supervisor’s screen. Any keyword or phrase can be searched for. Any question and answer combination can be used as a trigger to prompt an agent to change the course of their conversation during a call. And all the time supervisors can see a real-time picture of what is being said in their call centre without having to physically listen to calls. Future enhancements will even see speech analytics identifying different customer emotions, giving supervisors the ability to flag up angry or distressed customers or agents in real-time.
Applying new live speech analytics technology could have helped identify the most inappropriate sales of PPI, giving agents the chance to rectify a miss-sell, thus saving the banks an embarrassing apology and hundreds of million of pounds worth of pay-outs.
Yesterday Barclays, HSBC and RBS (via the BBA, British Bankers Association) followed Lloyds’ example and chose to back down in their legal fight over the miss-selling of payment protection insurance (PPI). The insurance policies are designed to pay out for customers who have been made redundant, or are on long term sick leave in order to cover mortgage, loan or credit card payments. However the self- employed can never be made redundant and those with existing health issues are not necessarily eligible for policy redemption claimed due to extended sick leave.
Compliance is paramount in avoiding fines and compensation
Miss-selling is just one of the many issues around compliance affecting banks, insurance companies and financial enterprises today. Such companies need to demonstrate to the Financial Services Authority (FSA) that they are trading compliantly including voice recording calls made and received over traditional landlines, and in some cases mobile phones. Live speech analytics can ensure 100% compliance on every phone call handled by every call centre agent in a cost effective way that does not require expensive professional services or costly integration with existing voice recording equipment. Indeed the Return on Investment (ROI) of deploying such a solution can be realised, in some cases, in less than a year!
For more information on next generation live speech analytics and how it can help save your company millions of pounds, contact GemaTech on 0845 345 3333 or visit our website at www.gematech.com.
Tags: live, live speech analytics PPI, PPI, speech analytics
Wednesday, 3 August 2011
Live Speech Analytics Could Have Saved Banks Millions on PPI Pay-Outs « GemaTech Technology Blog
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