Identify intent
Ask a short, neutral question that distinguishes customer needs from vendor or automated solicitation.
Systems built / 02
Receptionist with spam-call filtering
Private client deployment
A reception layer that separates real customer intent from repeat solicitations, robocalls and calls that do not need the operations team.
The operating problem.
Teams lose focus when every ring has the same priority. Useful filtering must protect the customer experience while making it harder for unwanted calls to consume staff time.
How the system moves.
Apply routing rules
Use deterministic business rules for known categories instead of guessing from an open-ended model response.
Serve real callers
Continue customer intake, booking or human handoff without making the caller repeat context.
Review exceptions
Keep uncertain classifications visible so a person can correct the rules rather than silently losing a call.
Human and system safeguards
- Conservative filtering when intent is uncertain
- No permanent blocking based on a single automated classification
- Human-review queue for ambiguous calls
- Audit trail for routing decisions
What the system measures
- Customer calls routed correctly
- Non-customer calls contained
- Ambiguous calls reviewed
- Front-desk handling time
Related system
AI Voice ReceptionistStart with a conversation
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