Small-business AI is a workflow cleanup problem

Reddit r/AI_Agents News

Summary

This opinion piece argues that AI for small businesses is less about replacing employees and more about cleaning up individual workflows, emphasizing the need to define key workflow components before delegating to AI.

I think small-business AI is less about getting an "AI employee" and more about cleaning up one workflow at a time. AI vendors are starting to package assistants around the tools small businesses already use: accounting, payments, CRM, docs, email, design, reporting. That direction makes sense. But connecting AI to business software does not automatically make the workflow reliable. Before delegating a recurring task, I would define five things: * source of truth * owner * exception path * review point * done state If those are unclear, AI mostly accelerates ambiguity. The best first workflows are boring: * draft invoice follow-ups * classify support requests * summarize weekly numbers * extract document data * clean up call notes * prepare lead summaries Repeated input. Low-risk output. Human review. Obvious exceptions. That is a much better starting point than "let AI run the business." What small-business AI workflows have actually lasted for you?
Original Article

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