Following the publication of the 2024 1LoD Surveillance Benchmarking Survey & Report, which includes feedback from over 30 leading global banks, Wordwatch has helped produce a In-depth Report that outlines the next steps banks should consider to modernise their current voice surveillance practices. The Wordwatch-sponsored paper, “The biggest risk in voice surveillance isn’t surveillance”, looks in detail at both the operational and financial risks of running and maintaining multiple legacy systems, particularly those nearing the end of their life cycle. Banks are increasingly recognising the need to retire outdated systems and transition to a single, integrated platform to help combat a number of challenges, including: Compliance: Regulatory bodies require banks to retain specific sets of interaction records for up to seven years, which must be readily accessible and, importantly, in their original, unaltered state. Those with fragmented and outdated systems may struggle to meet these requirements, creating a compliance risk. Archiving & Retrieval Issues: Legacy systems can often complicate the archiving, indexing, and retrieval of voice data, hindering compliance efforts. Over-Retention Risks: Outdated systems often lead to over-retention of data, meaning banks may retain voice recordings that are no longer required, inadvertently expanding the scope of regulatory scrutiny. This is a big issue that not only increases data storage & maintenance costs but exposes banks to additional regulatory risks. In the paper we offer insights into integrating a centralised solution that manages all data capture, migration, storage and retrieval needs, emphasising the importance of scalability, to anticipate data volumes and the ability to search hundreds of millions (or even billions) of call and interaction data within seconds. It is possible and action is needed to keep one step ahead of regulatory rules and requests. The main take-away in our report is that “doing nothing is not an option.” There is significant risk and cost residing in banks’ legacy voice-retention programmes, and without good foundations, no amount of machine learning or AI will help banks with their core compliance requirements. For those looking to invest in this area, the message is clear: look at your voice programme from beginning to end – and prioritise that spend where the true risk is highest. To download the report, click here. 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