Insights
What I see in projects, the questions they raise, and what I learn from them.
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Applied AI
Why keeping a human in the loop isn't excessive caution, but a condition for success
When it comes to AI in a business, human validation is sometimes presented as a temporary step, to be removed once the system becomes reliable enough to operate on its own. That view is too simple. For tasks that can have consequences for the business, keeping someone able to check, correct or take over is part of the system's design, not just a feature of its early stages.
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Applied AI
What AI can genuinely do in an SME today
Artificial intelligence is part of almost every business conversation, yet few companies know exactly what it can do for them today. Between the claims that promise to automate everything and the caution that leads companies to do nothing, there is a more practical middle ground. It is narrower than the promise, but already useful for certain types of business work.
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Applied AI
AI project in business: 8 questions to ask before you start
An AI project that starts with choosing a tool often starts on the wrong foot. Before comparing technical solutions, eight straightforward questions can help establish whether the problem is genuinely suited to AI, whether the necessary data exists, and whether the organisation is ready to test a solution under the right conditions.