Work in organisations has changed noticeably in recent years as AI applications have moved into daily tasks, data analysis, report writing and even administrative decisions. The first place this showed up was productivity. Routine tasks that used to take up much of an employee's day are now done faster and with fewer errors, which leaves more time for work that needs their expertise and analytical thinking, and sometimes some creativity. What matters more to managers, though, is decision support. These systems can process large amounts of data quickly, pick out patterns and relationships that are hard to see with conventional methods, and set out the available options with indicators that help in judging risk and comparing solutions. Decisions can then rest more on evidence and less on personal impressions. Organisations do not all benefit to the same degree: it depends on the kind of work they do, the quality of their data, and whether the tools they chose actually suit them. There are also problems that are hard to ignore. Intelligent systems can produce inaccurate information or biased results when they are built on incomplete or unbalanced data. Handling the data of employees and service users raises serious questions about privacy and information security. Many workers also worry that wider automation will eliminate some jobs or change the skills the labour market asks for. What concerns me most is that staff may get used to accepting system outputs without checking them, so that their professional judgement weakens over time. Organisations therefore need clear policies on where AI may be used and where it may not. That means training employees to use these tools with care, protecting sensitive data through strict procedures, and leaving the final decision on important matters with a person. Success should be judged by the effect on the quality of work and the accuracy of results, and not only by how much faster things get done. In my view, AI can improve the workplace, raise productivity and lead to better decisions, provided that an organisation strikes a sensible balance between what the technology offers and the experience of its staff. Used responsibly, it remains a tool that helps people work and decide, and the final decision stays with them.