A Medium post from The Ai Consultancy says terms written for an internal AI tool may not fit once it is sold to customers, so buyers should recheck them.
A company's in-house AI tool can change a lot when it goes on sale. A Medium post from The Ai Consultancy, published in November 2026, makes that point. Its advice is simple: if an internal tool becomes a product, read the small print again before you rely on it.
The post argues that terms written for an internal tool may not fit a product sold to customers. An internal tool is built for the people who made it. A product has outside buyers, and their needs and risks are different. The old terms may never have been meant for them.
The post names three things to look at before you sign:
Any business that buys or relies on an AI tool is touched by this. That includes a tool that began life inside another company and is now offered to the public. Data use, liability and support all matter more once your own work depends on the tool.
The full text of the post was not available, so details are thin. The material does not say which tool or company prompted the piece. It also does not say what any specific terms contain. The advice is general, and it applies to any tool that changes from internal use to a paid product.
Before you depend on an AI tool, recheck its terms for data ownership, liability for errors and support, especially if it began as an internal tool.
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