In this article 01. 1. Digital Conversations: Redefining Customer Engagement 02. 2. Messaging as a Primary Service Channel 03. 3. Prioritising Seamless Experiences Over Pursuit of Omnichannel 04. 4. Increased Personalisation: Tailoring Experiences to Individual Needs 05. 5. Uncovering Customer Insights with Interaction Analytics 06. 6. Advanced Machine Learning for Forecasting and Scheduling 07. 7. Generative AI Powers RPA Revolution Ever-evolving technology and customer expectations are driving rapid transformation within the contact centre industry. As we step into the new year, it’s crucial for organisations to stay ahead of the curve. Here’s how to reshape your CX in 2024: 1. Digital Conversations: Redefining Customer Engagement Disjointed and inconsistent experiences across channels is one of the biggest drivers of dissatisfaction among UK consumers. Customers expect seamless and engaging interactions across various channels. The key to success is to invest in digital conversation capabilities, such as building advanced digital assistants with large language models. To meet the growing demand for cohesive customer engagement, crafting intuitive and personalised conversational experiences is essential. 2. Messaging as a Primary Service Channel While many organisations use SMS for one-way communication, the full potential of messaging as a two-way service method remains largely untapped. Given the popularity of messaging as a communication channel, it can act as a powerful two-way service method. Leveraging SMS for proactive support and real-time feedback enhances customer engagement. The advantages of asynchronous communication and a user-friendly interface make messaging a compelling choice over traditional phone calls. 3. Prioritising Seamless Experiences Over Pursuit of Omnichannel While omnichannel access is important, the focus should be on simplifying customer journeys. Providing support across every channel is not always feasible or efficient, nor does it always improve the customer experience. Understanding customer preferences and streamlining interactions across preferred channels ensures a consistent and personalised experience. This might involve consolidating or reducing channel offerings to prioritise efficiency. 4. Increased Personalisation: Tailoring Experiences to Individual Needs Personalisation is a key driver of customer satisfaction and loyalty. By leveraging customer data and insights, organisations can deliver personalised product offerings, service recommendations, and communication tailored to individual preferences. This level of personalisation fosters deeper customer relationships and encourages repeat business. 5. Uncovering Customer Insights with Interaction Analytics The combination of large language models and natural language interfaces is revolutionising the way organisations analyse customer interactions. Businesses can now gain deeper insights into customer needs, pain points, and preferences by harnessing these technologies alongside existing data sources. 6. Advanced Machine Learning for Forecasting and Scheduling Traditional workforce management tools struggle to keep up with the dynamic nature of customer demand and agent availability. Advanced machine learning and predictive analytics can be used to forecast demand, optimise scheduling, and adapt to real-time changes. This proactive approach enables organisations to efficiently manage their workforce and ensure optimal service delivery. 7. Generative AI Powers RPA Revolution While Robotic Process Automation (RPA) has been effective in automating repetitive tasks, the introduction of Generative AI opens new possibilities. By combining Generative AI with RPA, organisations can automate a broader range of tasks and processes, leading to improved efficiency, accuracy, and overall quality. Want to learn more about the trends set to reshape CX in 2024 and beyond? Download the whitepaper. 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