For practices, firms, contractors, and service businesses

Replace your answering service with AI that actually books the job.

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.

  • Books appointments — not "we'll have someone call you back"
  • No per-minute pricing. No upcharges for after-hours.
  • Hands off to your team with full context — never a cold transfer
  • Speaks multilingual workflows, subject to deployment validation, natively
  • Logs every call, with searchable transcript, in your dashboard
  • Goes live in 2–4 weeks
Flat pricing 24/7 coverage multilingual workflows, subject to deployment validation security controls reviewed during deployment

Compare Claire to your current answering service.

30-minute demo. We benchmark Claire against what you're paying today.

We respond within one business day. No sales pressure.

Why answering services are failing in 2026

The per-minute pricing model rewards talking. You need an answering service that rewards outcomes.

$1.42/min
Average answering service rate (2026)

Costs scaled with call volume. Claire is flat-tier — predictable, regardless of volume.

18%
Answering service calls converted to booking

Most answering services just take messages. Claire books over 60% of inbound bookable calls.

0
Spanish-fluent agents on most overnight queues

If your customers don't all speak English, your overnight answering service is failing half of them. Claire doesn't have shifts.

How Claire replaces your answering service

Same coverage. Better outcomes. Different pricing model.

1

Picks up + identifies

Answers in 1 ring, identifies caller, and decides whether this is a booking, a question, an emergency, or a callback ask.

2

Completes the action

Books the appointment, takes the deposit, collects intake info, verifies insurance — whatever the call actually needs.

3

Routes only what needs you

Sends you a clean handoff for the calls that genuinely need a human — never a generic 'someone called' message.

What Claire does that your answering service does not

Live booking

Reads your real calendar, books the slot, takes deposit, sends confirmation.

Intake forms

Demographics, history, consent — collected by conversation, sent to your system before the visit.

Insurance / eligibility

Real-time payer verification on healthcare calls. Patient responsibility estimate during the call.

Emergency triage

Your escalation rules — by symptom, by keyword, by score. Routed to your on-call line with full context, fast.

Outbound follow-up

Confirmation, reminder, no-show recovery, reactivation. The retention work that human teams skip.

Transcript + search

Every call transcribed, tagged, searchable in your dashboard. Forever.

Enterprise-grade by default.

When your AI receptionist talks to your customers, the audit trail matters.

security controls reviewed during deployment
Encryption requirements reviewed
PII minimum-necessary
Logging and retention configured
No data used for training
Region-isolated residency

Frequently asked questions

How does Claire compare to traditional answering services?
Traditional answering services use shift-based human agents charged per minute. They take messages well but rarely complete the booking, intake, or qualification. Claire works the call to completion — booking, deposit, intake — and only escalates what needs a human.
What does it cost vs. my current answering service?
Claire is priced per seat + call volume tier — typically 40-60% less than equivalent answering service coverage when you factor in conversion lift. We build the comparison vs. your current invoice during the demo.
Can it handle our overnight Spanish-language calls?
Yes. Claire handles Spanish natively (and 80+ other languages) — no shift constraints, no English-only escalation lag.
Will my customers know it is AI?
We don't deceive — Claire identifies as an AI assistant when asked. But we tune voice, pacing, and warmth so most callers can't tell the difference until they ask.
What about emergencies and clinical questions?
Hard escalation rules. Symptom thresholds, keywords, and any explicit ask for a human route immediately to your on-call line with full call context — faster than a human agent typing a message would.
How fast can we switch?
2–4 weeks from contract to live deployment. We run shadow mode (Claire silent, listening) for 1–2 weeks before going live so your team can verify quality.

Stop paying per minute for messages.

30 minutes. We benchmark Claire against your current answering service spend.

Operations professionals coordinating customer work
Human work stays visible. Claire coordinates the request, system steps, communication, and exception path around the people accountable for the outcome.
Built around the people doing the work

What Teams comparing AI answering services should verify.

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.

Normal path

Show the request, required context, configured action, system result, confirmation, and completed state.

Exception path

Show missing information, conflicting records, unavailable systems, policy boundaries, failed actions, and the named owner.

Human path

Keep approval, judgment, safety, relationship risk, and unresolved ambiguity with the accountable person.