Normal path
Show the request, required context, configured action, system result, confirmation, and completed state.
Traditional answering services take a message. Claire takes the appointment, the deposit, the intake form, the insurance verification — and routes the rest. Same coverage. Better outcomes. No per-minute pricing surprises.
30-minute demo. We benchmark Claire against what you're paying today.
The per-minute pricing model rewards talking. You need an answering service that rewards outcomes.
Costs scaled with call volume. Claire is flat-tier — predictable, regardless of volume.
Most answering services just take messages. Claire books over 60% of inbound bookable calls.
If your customers don't all speak English, your overnight answering service is failing half of them. Claire doesn't have shifts.
Same coverage. Better outcomes. Different pricing model.
Answers in 1 ring, identifies caller, and decides whether this is a booking, a question, an emergency, or a callback ask.
Books the appointment, takes the deposit, collects intake info, verifies insurance — whatever the call actually needs.
Sends you a clean handoff for the calls that genuinely need a human — never a generic 'someone called' message.
Reads your real calendar, books the slot, takes deposit, sends confirmation.
Demographics, history, consent — collected by conversation, sent to your system before the visit.
Real-time payer verification on healthcare calls. Patient responsibility estimate during the call.
Your escalation rules — by symptom, by keyword, by score. Routed to your on-call line with full context, fast.
Confirmation, reminder, no-show recovery, reactivation. The retention work that human teams skip.
Every call transcribed, tagged, searchable in your dashboard. Forever.
When your AI receptionist talks to your customers, the audit trail matters.
30 minutes. We benchmark Claire against your current answering service spend.

A basic answering service captures a message or transfers a call. Claire is relevant when the work continues: identify the customer or job, collect required facts, check configured rules, retrieve authorized context, schedule or update a system, send confirmation, wait for a response, and route exceptions.
Buyers should ask vendors to demonstrate failed matches, unavailable slots, after-hours policies, duplicate requests, failed writes, and human takeover. A polished greeting is not proof that the downstream work is correct.
Start with a bounded request that has a named system of record and a measurable completed state. Keep human judgment where policy, safety, money, or relationship risk requires it, and expand only after normal and exception paths are observable.
Show the request, required context, configured action, system result, confirmation, and completed state.
Show missing information, conflicting records, unavailable systems, policy boundaries, failed actions, and the named owner.
Keep approval, judgment, safety, relationship risk, and unresolved ambiguity with the accountable person.