For those of you that missed it we had a great response to our latest guide on quality monitoring (QM). During our research phase it transpired that there are still a number of contact centres out there using live agent monitoring during calls as their main means of evaluating performance instead of tried and tested quality monitoring technology. We firmly believe this is down to a lack of understanding of how the technology has evolved and how costs to implement it have decreased in the last couple of years. Many of the arguments which held true in the past around not having the time to evaluate enough calls to be truly representative and not being able to target the ‘right type’ of calls for evaluation are no longer valid thanks to significant developments in QM technology. The guide goes on to highlight how features like faster replay and bolt on audio analytics can be used alongside quality monitoring applications to find the calls worth evaluating quicker and subsequently play them back quicker, meaning more calls can be sampled in a given time frame. The development of agent learning centres in these tools, also facilitates self-coaching and speeds up knowledge transfer as evaluators can tag and comment on calls without having to wait for weekly or monthly reviews.Covering off areas such as the seven pitfalls to avoid when implementing a quality monitoring system, this informative guide is a must-read for anyone wanting to understand how today’s quality monitoring technology can add real value to the contact centre. Contact us now for your complimentary copy. Written by: Business Systems UK
Blog 28 August, 2025 What is Conversational AI? A Beginner’s Guide to Smarter CX In today’s fast-paced digital landscape, businesses are under increasing pressure to deliver seamless and efficient customer experiences (CX). Customers expect quick responses, personalised interactions, and 24/7 availability. This is where Conversational AI comes in. By leveraging artificial intelligence (AI) and natural language processing (NLP), Conversational AI enhances customer service, automates interactions, and significantly improves operational
Blog 23 July, 2025 Mike Wardell Appointed Executive Chairman We are pleased to announce that Mike Wardell, former CEO of Business Systems Ltd, has transitioned to the role of Executive Chairman of both Business Systems and Wordwatch. This strategic move marks a significant milestone for both brands as they continue to strengthen their market-leading positions in customer contact solutions and communications governance and archiving.
Blog 16 July, 2025 Unlocking the Power of Conversation: How Interaction Analytics Is Reshaping Contact Centre Workforce Planning Contact centres are no longer just cost centres – they’re goldmines of actionable insight. And in 2025, forward-thinking customer contact leaders are discovering that the most untapped resource in their operations isn’t in headcount or tech—it’s the conversations they’re already having. Welcome to the era of interaction analytics. With the power to transform how you
Blog 8 July, 2025 From Hype to Impact: AI Strategies for Maximum ROI AI is revolutionising customer contact – but for many contact centres, the results aren’t matching the promise. Despite a surge in experimentation, too many organisations find themselves in “pilot paralysis”: high on potential, low on return. Contact centres need to adopt AI, but many are hitting the same wall: inconsistent ROI. Why? Because not all
Blog 3 June, 2025 Why Workforce Engagement is Key to Retaining Contact Centre Agents Call of Duty: Why Engaged Agents Stay in Contact Centres One repeat challenge our consultants see when we partner with new organisations is Agent retention. With increasing customer expectations, hybrid working models, and AI-driven efficiencies reshaping the contact centre industry, there is always an ongoing pressure for organisations to keep agents engaged and motivated in
Blog 15 May, 2025 How OpenAI’s o3 and o4 Mini Models are a major step forward in Conversational AI for Contact Centres The release of OpenAI’s latest large language models – o3 and o4 mini – represents a major step forward in the evolution of enterprise-grade AI for customer service. These new models are purpose-built to handle complexity, improve reasoning, and scale automation without compromising control or compliance. For contact centres looking to enhance customer experiences and
Blog 1 April, 2025 AI Agents in Contact Centres: Are You Ready for the Future? The Future of Customer Service is Here The contact centre industry is undergoing a significant transformation. Rising customer expectations, increasing operational costs, and workforce shortages are putting immense pressure on businesses to deliver seamless customer experiences while maintaining profitability. The companies that embrace AI agents today are the industry leaders of tomorrow – those that
Blog 10 February, 2025 What is Agentic AI and Why Does It Matter to You? Agentic AI is transforming contact centres by enabling systems to act autonomously, adapt to new situations, and proactively achieve goals – much like a human agent. But how does it differ from traditional automation, and why should contact centre leaders take notice? What is Agentic AI? Unlike rule-based automation, Agentic AI makes independent decisions, learns