Service · AI Receptionists

Always-on intake infrastructure — not a chatbot.

Answer instantly, qualify cleanly, and route work into your systems with transcripts, tags, and next actions attached.

AI receptionist intake flow from calls/chat/SMS to qualification, routing, and CRM output
Intake flow — the receptionist turns first contact into CRM-ready, structured context.

What you’re installing

A front-line routing layer that turns demand into structured work.

The win isn’t “having conversations.” The win is clean intake → consistent qualification → reliable routing → measurable outcomes.

Voice · SMS · Web · 24/7CRM + Calendar integratedTranscripts + audit trail

Systems map

Built for production behavior, not demos

Designed to remove ambiguity and make handoffs clean — not to “sound smart.”

See the automations layer →

Layer 01

Voice · SMS · Web

Interface

Answers instantly, stays on-brand, and handles FAQs without creating dead-ends.

  • Greets + confirms intent + captures contact
  • Verifies service area / zip / eligibility
  • Uses your tone + boundaries (not improvisation)

Layer 02

Structured intake

Qualification

Collects the right info in the right order so the lead is usable — not a vague message.

  • Job type + urgency + constraints
  • Pricing/availability guardrails
  • Filters junk leads politely and early

Layer 03

Booking · Dispatch · Handoff

Routing

Routes into the next action with clean context attached — not a loose conversation.

  • Booking logic + confirmations
  • Dispatch triggers + owner assignment
  • Escalation rules for high-urgency cases

Layer 04

Logs · transcripts · accountability

Governance

Everything is measurable and reviewable. You can see what happened, why, and what’s next.

  • Transcript + summary stored with the lead
  • Tags + fields for search and reporting
  • Fallback rules that protect the experience

Speed

Instant answer + response

Quality

Structured intake fields

Control

Rules + escalation paths

We define tone, boundaries, escalation rules, and the exact intake fields your team needs — so the output is operationally useful.

AI receptionist escalation decision logic flowchart
Escalation logic — urgent cases route to humans fast; non-urgent routes to booking/qualification.
Example of AI receptionist saving structured intake into a CRM record
CRM-ready output — structured fields, summary, tags, and context you can search later.

Example transcript

Conversation is the UI — routing is the product

The receptionist captures intent and pushes structured context into your systems.

Capturing

Caller

“Can you help today? I’m in Winter Park.”

Intent: high · Next: verify service area + capture contact.

AI receptionist

“Yes — we can help. What’s the best number to text updates, and what’s the zip or address?”

Action: lead created · contact verified · next: qualify job type.

Output to CRM

  • Name + phone
  • Service area verified
  • Job type + urgency
  • Transcript + summary

Auto follow-up

  • Confirmation text
  • Booking link / ETA
  • Reminder sequence
  • Escalation if urgent

Quick win

If you want immediate lift while we map intake: start with the review templates.

Operator questions

The stuff that matters after launch

What happens when it doesn’t know the answer?

It follows your fallback rules: ask clarifying questions, offer a safe next step, or escalate to a human with the transcript attached.

Can it stay on-brand?

Yes. We define tone, phrase libraries, and boundaries. The goal is consistency — not improvisation.

How does handoff work?

Handoff is a workflow: notify the right person, attach the transcript, and include a recommended next action.

Will it spam customers?

No. Follow-up runs on defined rules (time windows, max attempts, opt-out). It should feel intentional.

Call · Text · WhatsApp407-437-0454