How call screening works
Automated screening happens in the network. In the US, the FCC requires voice providers to support STIR/SHAKEN caller ID authentication, which helps carriers label or block likely spoofed robocalls. Phones and carriers then show warnings such as “Spam likely.” The risk is false positives: a real customer’s call labeled spam.
Conversational screening is what a good receptionist does: ask the caller’s name and reason for calling, then decide whether it is urgent, routine, a sales pitch, or for someone else. That kind of screening never rejects the caller outright; it sorts them, so customers always get somewhere.
Example: an insurance agency’s front line
An independent insurance agency gets claims calls, quote requests, and a steady stream of vendor pitches. A screening assistant asks each caller what they need: claims callers get the carrier’s claims number and a note for the agent, quote requests get their details captured for a producer, and sales pitches get a polite email address. This scenario is illustrative.
How InsertChat screens calls
InsertChat screens by conversation. The AI receptionist asks for each caller’s name, number, and reason for calling, answers what it can, and sorts the rest: urgent situations trigger an alert, requests for a person are marked needs-you, and high-intent callers are flagged. Your team can move junk conversations to the Spam view in the shared inbox.
InsertChat never rejects a call because it might be spam, so a wrongly flagged customer still gets answered. It does not record calls; every call has a transcript and summary instead. See the insurance agency setup.
