Five lessons from building AI phone receptionists for small Australian businesses
A developer who builds AI phone receptionists for Australian tradies, clinics and salons shares five early mistakes. The first prototype left about 2.5 seconds of silence before responding, which callers read as a dead line, so the fix focused on faster response times through streaming transcription and filler phrases. Early versions also tried to answer every question, producing confident wrong answers, so the system was narrowed to defined tasks with fast handoffs to humans. Integrating with each business's booking and management software consumed far more effort than the AI itself. The author also argues that systems should be designed for human review, citing benchmark data that current models complete only about 12% of paid professional tasks to a client-payable standard.
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