01732 759725 44 satisfaction through proactive support, reduced time-to-resolution, and better retention rates. Customers benefit from predictive insights that keep their print infrastructure running smoothly whilst we strengthen relationships through data-driven engagement rather than reactive problem-solving. Mark Asbridge: AI-enabled monitoring and analytics help detect performance patterns and potential issues early, allowing proactive optimisation and maintenance. This reduces unexpected downtime and improves reliability, directly enhancing customer satisfaction. Khalid Aziz: AI-driven predictive maintenance is changing service models from reactive to proactive. Connected devices and data-driven insights allow engineers to identify faults before they happen, rather than responding after an issue occurs. In modern print environments, connected systems such as the latest imageFORCE devices and PRISMA workflow software automatically flag potential faults, order parts in advance and minimise service disruption. The result is higher uptime, fewer unnecessary journeys, improved reliability and time saved for both engineers and customers. Ryan Green: AI-driven predictive maintenance is revolutionising printer servicing by moving from reactive fixes to proactive care. Solutions like Canon’s new imageFORCE series harness realtime telemetry and machine learning to anticipate component wear and convert these materials into actionable insights, improving efficiency and accuracy in technical support. Ian Silvester: AI is currently leveraged in our business in the development, sales and marketing areas. We are investigating how it can aid our support infrastructure to further increase our resolution times and self‑help capabilities. As a company we are using AI now to help in creating marketing materials and to identify sales leads around the globe. During 2026 this will become more integral to our strategies. The key benefits will be efficiency and speed of content creation, and breadth of content that will form that creation. It will also allow us to deliver more personalised content in a reduced timescale. Kerry Rush: Yes, like most businesses, we are adopting AI technology to streamline our own business processes, security and productivity. AI is helping to reduce manual and repetitive tasks, and much like our clients, we’re using tools like Copilot with some of our teams, giving them more time to focus on higher-value work and ultimately what they do best. Our research highlights that while AI adoption is accelerating, 52% of UK leaders believe their business isn’t yet using AI as effectively as it could. That is why we also encourage vendors and partners to explore AI within their own organisations. Doing so helps streamline internal processes and enables them to authentically and credibly communicate the value of AI to their customers. PrintIT Reseller: In what ways are AI-driven predictive maintenance tools changing the way printers are serviced, and how is this impacting uptime and customer satisfaction? Andy Bryant: Whilst we don’t service printers directly, AI transforms how we support customers proactively. Through AI-powered analysis of support ticket patterns, product usage data, and customer health indicators, we predict potential issues before they impact operations. This enables our customer success teams to intervene early with targeted guidance or technical support. AI also identifies expansion opportunities by analysing usage patterns and feature adoption. The result: higher customer Our technical team use it to assist with our support functions through managed print, IT and telephony. It allows us to respond to and resolve support tickets quicker, and the proactive monitoring means sales and service teams are often able to forecast and create plans more efficiently with our customers. As an example, the telephony solution we provide and support our customers with, has AI Calling Assistants. We have the ability to record calls, create a summary of those calls with accurate notes and actions that can be automatically dropped into our CRM system, which is great for improving productivity within our busy teams. Graham Foxwell: Yes. In addition to hardware, we are using AI to enhance workflow automation and document/ content management. AI-driven analytics can enable optimisation of internal processes and deliver better customer experiences. For example, predictive insights into document usage patterns can help us refine service delivery and allocate resources more effectively. These capabilities complement Kyocera Fleet Services (KFS) for device monitoring, creating a comprehensive productivity model that spans both print and digital document ecosystems. We are also exploring how AI can transform technical documentation by making it easier for technicians to access and interact with diverse content sources. This includes service bulletins, knowledge bases, and other repositories that often contain unstructured information. Our goal is to use AI to VOX POP …continued Ryan Green Andy Muskett
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