PRINTITRESELLER.UK 45 Ian Silvester: The main barriers are data maturity, legacy infrastructure, and trust. Many environments still lack consistent data or modern devices needed to fully benefit from AI. There’s also a skills and change management gap, and some hesitation around complexity and ROI. When AI is introduced incrementally with clear, outcome-based use cases, those barriers quickly diminish. Kerry Rush: Education remains the biggest barrier. While AI adoption is accelerating, our research shows that 43% of UK SME leaders still need clearer guidance on how to adopt and use AI securely and effectively. Concerns around skills, governance and security continue to slow progress. As a technology partner, our role is to provide clear guidance, training and support that makes AI practical and accessible. When businesses understand how AI can reduce costs, improve productivity and be implemented securely, both clients and resellers become far more confident in embracing AI-driven solutions. www.vasion.com www.MyQ-solution.com www.canon.co.uk www.carbon-group.co.uk www.key-digital.co.uk www.xerox.co.uk www.commercebusinesssystems.co.uk www.kyoceradocumentsolutions.co.uk www.ekmglobal.com www.sharp.co.uk block; people still don’t trust everything about AI’s ability. We know the old saying, ‘to err is human’ but no-one is ever comfortable if self-learning technology can’t be reliable. Graham Foxwell: The main barriers are integration complexity - aligning AI-driven tools across hardware, cloud platforms, and legacy systems; data security concerns, especially in regulated industries; and change management – moving from print-first to workflow-first requires cultural and operational shifts. How AI helps: Data integration & pipeline automation: AI builds connective infrastructure between isolated repositories, enabling unified access to documents across silos. Natural language processing (NLP): AI can read and interpret textheavy documents (service bulletins, contracts, manuals), extracting key facts, relationships, and context. Classification & tagging: machine learning models automatically categorise and label documents, making them searchable and reducing reliance on manual indexing. Semantic search & retrieval: AI enables technicians or analysts to query documents in plain language and retrieve relevant insights, even from poorly structured sources. Governance & compliance: AI-driven tools enforce data quality, lineage, and security policies, ensuring that sensitive information in silos is properly managed. Generative AI applications: once integrated, unstructured data can fuel summarisation, Q&A systems, and predictive analytics, turning raw documents into actionable intelligence. Kyocera’s hardware, combined with intelligent workflow automation and robust document management capabilities, delivers secure, scalable, and interoperable solutions that integrate seamlessly with existing infrastructure. Unlike legacy platforms where AI is bolted on as an afterthought, MDI Cloud is AI-native, built from the ground up to harness intelligence across document ecosystems. This foundation enables capabilities that go far beyond simple automation. some. Recognisable data and usage patterns being fed into an AI model may deliver some questionable results if not handled correctly. A data readiness assessment needs to come first before any AI platform can start to deliver accurate results back. Andy Muskett: One of the main challenges to wider adoption is ensuring organisations are ready to apply AI in a meaningful way. The quality, consistency and availability of data is critical, as AI delivers the most value when it is applied to mature, wellunderstood processes. There is also a need for clarity around where AI can deliver practical, operational benefits, rather than being seen as a standalone technology. Successful adoption often depends on combining AI with existing workflow, automation and service models, supported by the right tools and expertise. As organisations build confidence and experience, adoption typically accelerates, particularly when AI is applied to clearly defined use cases that deliver measurable improvements in efficiency, service delivery and sustainability. John Green: With AI being the hottest subject in the industry, we are conscious that many businesses and schools aren’t prepared to adopt AI just yet. Everyone is still cautious and concerned about where it could lead. People feel uneasy about the unknown – especially how much control AI will have in the future. We are also aware that AI ‘can make mistakes’ and this is another stumbling VOX POP Andy Muskett Graham Foxwell
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