Insights
Perspectives on AI, automation, and what is actually working for business.
Practical thinking on AI, workflow automation, and Private GPT, written for business leaders who want to know what actually works.
Insights
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When AI companies carry out comparisons they use imprecise and unverifiable statements concerning data privacy, such as saying "your data will be safe" or "we have enterprise-grade security." This kind of language is easy to come up with and
Somewhere in your business, right now, an employee is pasting something into an AI tool to get help with it. A contract summary. A client email. A financial model. They are not doing anything wrong. The problem is not
When businesses talk about automating manual work, they usually start with time. They discuss how many hours it takes and how many hours they could save. This is a reasonable approach, but it misses much of the bigger picture.
Most automation projects don't fail because of the technology. They fail because no one took the time to define the real workflow before starting. This is the main goal of discovery, along with the scope error that often derails