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Browse Attomus insight related to ai, with a focus on programme delivery, operational judgement, and professional execution in demanding environments.
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A growing share of the traffic arriving at any organisation’s website is no longer human. Some of it is the familiar crawling of search engines. But an increasing fraction is something newer: AI agents acting on behalf of specific people – researching a purchase, evaluating a supplier, summarising a market, shortlisting firms for a piece of professional work. The recommendation that once came from a colleague’s memory or a page of search results now frequently comes from a model’s synthesis of what it read.
Read articleGenerative AI is already part of day-to-day business. Staff use it to summarise meetings, draft documents, write code, analyse data, speed up research, and automate routine tasks. Some of that use is sanctioned. Some of it is not. That is the problem with shadow AI. It gives employees a useful shortcut, but it can also move client information, source code, personal data, and internal decision-making into services the organisation has not assessed.
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