Author: Richard Farrell, CIO at Netcall
\n After a year of rapid adoption and high expectations surrounding artificial intelligence, 2026 is shaping up to be the year CIOs apply a more strategic lens. Not to slow progress, but to steer it in a smarter direction.
\n In 2025, we saw the rise of AI copilots across almost every platform imaginable. From browsers and CRMs to productivity tools and helpdesks, the tech world raced to embrace assistance-on-demand. But while vendors marketed \u201cmagic,\u201d CIOs were left with the clean-up. Multiple pilots. Multiple platforms. Multiple promises. Few results.
\n Now the honeymoon period is over. It\u2019s time to assess what worked, what didn\u2019t, and what truly matters. The role of the CIO is shifting from tech enthusiast to strategic outcome architect. That means moving from disconnected experiments to holistic thinking \u2013 aligning people, process, and technology to drive sustainable results. Process mapping will become an essential starting point: identifying pain points, inefficiencies, and areas for AI and automation that directly link to measurable outcomes. And that shift comes with a new set of priorities. Here are five that will define 2026. <\/p>\n
Process intelligence will replace fragmented copilots<\/p>\n
The early promise of AI copilots was appealing: save time, reduce manual work, and supercharge productivity. But reality has been far more grounded. Independent evaluations, including a detailed UK Department for Business and Trade trial, found minimal measurable productivity improvements[1]. Despite glowing self-reports, actual gains were either negligible or non-existent. Why? Because these tools were designed for individual users, not organisations. They sat on top of workflows, rather than improving them. In too many cases, the top use case was summarising meeting notes \u2013 useful, but hardly transformative.
\n In 2026, CIOs will shift focus from point solutions to end-to-end platforms. The goal will be clear: use AI to optimise business processes, not pad out software features. This pivot from individual utility to organisational efficiency will be the biggest AI reset of the year. <\/p>\n
Consolidation will beat complexity<\/p>\n
CIOs have long battled sprawling tech estates and overlapping solutions, often held together by fragile integrations. In 2026, that complexity will come under fresh scrutiny. Too many tools chasing too few outcomes is no longer sustainable.
\n There will be a marked shift towards simplification \u2013 rationalising technology stacks and working with partners who can demonstrate true interoperability. CIOs will favour vendors who collaborate rather than compete, and who can clearly show how their solutions integrate within the broader ecosystem. Less will be more, especially when it comes to driving efficiency and speed.
\n This change is as much about procurement strategy as it is about technology. CIOs will look to platform-based approaches that offer the flexibility to build applications tailored to real-world processes. The ability to generate apps directly from mapped processes \u2013 refining and improving iteratively \u2013 will empower digital teams to deliver faster and smarter. It means building long-term partnerships that are based on shared goals and business value, not short-term sprints or siloed innovation. <\/p>\n
Governance will take centre stage<\/p>\n
The more AI scales, the more governance matters. In 2026, successful CIOs will build guardrails into every intelligent system. This means moving away from retrofitting rules after the fact, and instead embedding governance by design \u2013 from the very beginning of deployment. That includes audit trails, escalation rules, and privacy protocols, all built into the user journey through intuitive, adaptable frameworks. Proper escalation and human-in-the-loop models will be essential, alongside data stewardship \u2013 knowing where data is stored, how it\u2019s accessed, and ensuring privacy by design.
\n Governance isn\u2019t a drag on progress; it\u2019s the foundation of trust. Low-code platforms are emerging as powerful enablers in this shift. They don\u2019t just speed up development \u2013 they allow CIOs to embed controls directly into the build process. This approach supports the democratisation of development, empowering teams to iterate, improve, and scale quickly, without compromising on oversight.
\n That means compliance can\u2019t be tacked on later; it must be built in from the start. This accelerates delivery while reassuring regulators, customers, and internal teams alike. This shift will ensure that automation supports human judgement, not overrides it \u2013 building systems people trust, not just systems that work. <\/p>\n
Prediction must be followed by action<\/p>\n
AI is good at pattern recognition. But unless those patterns trigger interventions, they don\u2019t change outcomes. A shining example of this shift is the work at Rotherham NHS Foundation Trust. By embedding AI directly into its workflows, the Trust saw attendance among those most at risk of missing appointments improve significantly, with a 67% reduction in missed visits. It was not just that the model could identify at-risk patients; it was that this insight triggered an additional reminder, leading to better outcomes. The value was not in the model alone but in how it changed communication in a meaningful, practical way.
\n That\u2019s what CIOs will demand in 2026. Prediction engines must be paired with platforms that empower action. Whether it\u2019s preventing missed appointments or spotting security anomalies before breaches occur, success will be defined by what AI enables teams to do differently. <\/p>\n
Value must be proven, not assumed<\/p>\n
A dangerous trend emerged in 2025: building business cases on feelings. CIOs were pressured to prove AI success based on user satisfaction or time-saving estimates, often self-reported. The problem? These metrics are vague, inconsistent, and impossible to verify. In 2026, that won\u2019t be good enough. CIOs will be expected to show clear cause and effect. If AI is being used, what has it replaced? What has it improved? What cost has it avoided?
\n We need to replace the tick-box mindset with a value lens. That means thinking beyond the tech and tying initiatives back to outcomes CEOs care about \u2013 growth, resilience, customer satisfaction, and efficiency. Crucially, this demands a holistic approach. It\u2019s not just about technology. CIOs must align people, process, and platform \u2013 starting with detailed process mapping to understand how work gets done, where inefficiencies lie, and how those insights translate into smarter applications. These maps become blueprints for building, offering a framework to generate applications that deliver measurable value. <\/p>\n
The resolution: outcome-led leadership<\/p>\n
CIOs have spent the last decade digitising the enterprise. In 2026, their role will evolve again \u2013 from technologists to outcome architects. This year isn\u2019t about pulling back on AI or slowing innovation. It\u2019s about getting clear. Clear on priorities. Clear on governance. Clear on impact.
\n The best CIOs will ask the toughest questions. Are we solving a real problem, or just deploying tech? Can we measure the benefit, not just hope for it? Are we building something sustainable, or chasing hype? 2026 is the year we stop experimenting for the sake of it and start delivering for the business. The age of shiny objects is over. It\u2019s time for substance. And that starts with us.
\n Author: Richard Farrell, CIO at Netcall
\n(Image source: \u201cApollo classic concept art: Parachute deployment\u201d by Mooncat.Drew is marked with Public Domain Mark 1.0.)
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The post AI dominated the conversation in 2025, CIOs shift gears in 2026 appeared first on AI News.<\/p>\n","protected":false},"excerpt":{"rendered":"
Author: Richard Farrell, CIO at Netcall After a year of rapid adoption and high expectations surrounding artificial intelligence, 2026 is shaping up to be the year CIOs apply a more strategic lens. Not to slow progress, but to steer it in a smarter direction. In 2025, we saw the rise of AI copilots across almost [\u2026]<\/p>\n
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