Away from the more dramatic AI headlines, the most common practical use cases in businesses right now are fairly unglamorous, and that is exactly why they work. Document processing is a good example: pulling structured data out of invoices, forms or receipts that used to require manual data entry.
Internal support assistants are another common case, a tool that can answer common employee questions about policies or processes by referencing internal documents, reducing repetitive questions to HR or IT teams.
Customer-facing chatbots that qualify leads before handing off to a human are also increasingly common, particularly for businesses that get a high volume of similar repetitive enquiries.
The common thread across all of these is that AI is applied to a specific, well-defined, repetitive task, not asked to replace judgment calls that genuinely need a person. That is usually where it delivers real value rather than becoming a novelty that gets abandoned after a few weeks.