01732 759725 44 Mark Asbridge: Key barriers include data privacy concerns, multi-vendor integration challenges, organisational readiness, and the need for clear and trustworthy AI outputs. Ensuring secure handling of digitised and classified data, along with user education, is essential for broader adoption. Ryan Green: From my perspective, while AI in MPS and document workflows offers huge potential, there are still some real challenges across the industry. The biggest hurdles tend to be around integrating AI with older, legacy systems, managing data security and compliance requirements, and the upfront investment that advanced technologies often demand. There’s also a definite skills gap when it comes to setting up AI platforms and making sense of the insights they produce, which can limit the impact. On top of that, cultural resistance to change and the difficulty in clearly proving ROI can also possibly slow decision-making and make widespread adoption harder than it should be. Daniel Gilbert: As with any change in a business, it will be met with a level of resistance from staff members. AI reporting can then be hampered if these solutions are not being used as intended. Any AI model - large language or single source - will struggle to deliver accurate, actionable results if learning from bad practice. Data privacy and the use of personal data will no doubt be a barrier for The result is lower environmental impact without compromising productivity, and sustainability becomes an ongoing, intelligent process rather than a one-time initiative. Kerry Rush: AI is beginning to play a meaningful role in supporting sustainability goals, particularly through better insight and smarter decisionmaking. For example, by detecting print errors earlier and automating quality checks, AI can help reduce unnecessary reprints and material waste. AI also contributes through improved device efficiency. Predictive insights can help keep equipment running optimally, reducing downtime and avoiding resource-intensive issues. Beyond this, AI-powered dashboards are becoming increasingly important, particularly when it comes to environmental reporting. Real-time visibility into energy usage, carbon data and, over time, broader emissions metrics allows organisations to better understand their impact and identify opportunities for reduction. This is an area we expect to grow significantly as AI capabilities continue to mature. PrintIT Reseller: What barriers do you see to wider adoption of AI in MPS delivery, document workflows or other areas? Andy Bryant: Implementation complexity remains the primary barrier, CPA setup failures, printer compatibility issues, and identity configuration frustrate customers during deployment, whilst organisational resistance emerges when end-users perceive new security or automation steps slow their workflow. However, Vasion’s AI capabilities directly address this, our Print Agent simplifies queue management through natural language prompts, removing complex manual configuration; Scan-toNetwork and Delegated Release reduce friction by streamlining workflows rather than imposing rigid controls; and our analytics reveal actual usage patterns, helping resellers build compelling adoption cases tied to measurable outcomes. When implementation feels fast and workflow impact is minimal, adoption sticks, that’s where resellers differentiate by focusing on change management and ongoing value realisation, not just initial deployment. Graham Foxwell: AI supports sustainability by reducing waste through smarter print policies and automated document routing, optimising energy consumption via predictive device management and driving digital transformation, reducing reliance on physical output and enabling secure, paperless workflows. Looking to the future, we see exciting potential in combining AI with the Kyocera devices’ control panel reporting on CO₂ emissions and energy consumption. Imagine a system where real-time device data is analysed by AI to uncover patterns, forecast environmental impact, and deliver intelligent recommendations for reducing energy use and carbon footprint. This could transform sustainability from a static reporting exercise into a dynamic, predictive process, empowering organisations to make proactive decisions that accelerate progress toward their ESG goals and create smarter, greener workplaces. Ian Silvester: AI plays a critical role in turning sustainability from high-level aspiration into measurable, operational reality. In print environments, where waste and energy use are often invisible or underestimated, AI provides the intelligence needed to make smarter, more sustainable decisions at scale. By analysing print usage and device data, AI helps reduce waste through smarter print behaviours, optimise energy consumption by right-sizing fleets and improving device efficiency, and support datadriven decision making with accurate sustainability reporting. VOX POP …continued Ian Silvester Daniel Gilbert
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