This year, we have teamed up once again with The Forum to find out if and how contact centres in the UK have improved in streamlining their Quality Monitoring. With the help of our expert ‘Quality Management and Training consultant’ – Brent Bischoff, we’ve handpicked a selection of some of the most interesting results drawn from our annual survey – ‘The State of Quality Monitoring – 2017′. The most surprising result from this graph is that contact centres are failing to evaluate and monitor non-voice customer touchpoints, with less than 50% evaluating webmail and web chat, both pivotal channels in today’s customer journeys. Missing out on evaluating these channels will prove detrimental to the contact centres operation. Although the figure has slightly decreased from last year, contact centres are still using manual evaluation forms (like Microsoft or Excel) for their Quality Monitoring (QM) process instead of utilising tools and technologies available. For example, only 6% are using Speech Analytics and less than 40% are using actual QM software. Although there are technologies out there to help embed the process into the organisation it seems contact centres still perceive QM as a cost centre to the business and are reluctant to invest in streamlining the process. Only 53% of agents and 44% of the QM team are being trained in Quality Monitoring. What is important to remember here is that Quality Monitoring and the processes behind it, are all skills that need to be learnt. Without investing time and effort into developing the people who will be delivering your Quality Monitoring programme, it will be a struggle to improve service level as well as customer satisfaction. To read more about what we uncovered surveying over 100 contact centres in the UK download your very own copy of ‘The State of Quality Monitoring – 2017’. Written by: Business Systems UK
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Blog 20 November, 2025 Proactive AI vs Reactive AI: Understanding the Difference Artificial intelligence is changing the way organisations across the UK engage with customers, but all AI solutions aren’t created equal. Many still rely on reactive models that respond only once a customer makes contact. Proactive AI takes a more advanced approach, identifying needs and acting before the customer does. Understanding the key differences between proactive
Blog 20 November, 2025 5 Ways Proactive AI Can Reduce Manual Workload in Contact Centres Contact centres today face a familiar challenge: maintaining exceptional service while managing high volumes, rising costs, and limited resources. Agents are spending valuable time on repetitive, manual work instead of focusing on complex, high-value interactions that truly build customer loyalty. This is where Proactive AI makes a measurable difference. By combining automation with intelligence, it