24/7 availability
- Traditional automation
- Voicemail only
- Generic chatbot
- Yes, but shallow
- Semawork
- Chat + voice with context
Who Reception OS is for
- •Service businesses that cannot afford missed leads — clinics, agencies, local operators
- •Teams with high inbound chat and call volume but limited front-desk capacity
- •Operators who tried generic chatbots and need human review and real handoffs
- •Businesses on the French Riviera and across Europe ready for a scoped private pilot
The problems Reception OS is built to solve
Missed calls
Leads go to voicemail while your team is busy.
Slow replies
Chat and form inquiries sit unanswered for hours.
Unqualified leads
Sales time is spent on the wrong conversations.
Repetitive questions
The same FAQs consume staff attention daily.
Inconsistent handoff
Context is lost when a human needs to take over.
Chatbot slop
Generic bots hallucinate, frustrate visitors, and damage trust.
What the system does
An AI reception layer for chat and voice that answers routine questions, qualifies leads, summarizes conversations, and escalates to your team with full context — while learning from reviews and edge cases.
Example workflows
01
Visitor calls or chats
The system meets them on your website or phone line.
02
AI receptionist understands intent
It reads context, asks clarifying questions, and routes by urgency.
03
Answer, qualify, or escalate
Routine questions are handled; complex cases go to a human with full context.
04
Lead and summary in dashboard
Qualification fields, call summaries, and next actions appear in one place.
05
Feedback improves handling
Reviews and edge cases update playbooks so the next conversation is better.
What you see in the dashboard
Operations dashboard
Example pilot view with review gates and feedback memory
12 reviews3 agents2 edge cases
Live conversation
Live- Visitor: Do you take emergency calls?
- AI: Yes — I can route urgent cases now.
Lead score
Live- Research agent: running
- Intent: Book consultation
- Urgency: Same day
Qualification
Needs review- Service type
- Location
- Preferred contact time
Call summary
Live- 2 min voice intake
- Key objection captured
- Follow-up suggested
Human handoff
Assigned to front desk
Context attached
Awaiting approval
Edge-case tracker
Pricing exception flaggedImproving
Playbook update pendingReviewed
Human-in-the-loop safety layer
Not every issue is solved instantly. Edge cases are logged, reviewed, and may require playbook updates before the system handles similar requests confidently.
ConversationReviewFeedbackMemory updateImproved response
Edge cases handled honestly
Unusual pricing, after-hours emergencies, and policy exceptions are logged, reviewed, and routed to humans — then fed back into the system when appropriate.
Integrations
Works with the tools your team already uses — connected during pilot setup.
Website chatTwilio voiceCRMEmail notificationsSlackCalendar
Pilot process
01
Map the workflow
We document how work actually moves through your team, tools, and handoffs.
02
Deploy the agent system
We connect agents to your stack and ship a usable first workflow — not a slide deck.
03
Review and approve safely
Humans stay in control for high-impact actions, escalations, and edge cases.
04
Improve from feedback
Every review and edge case feeds back into how the system handles the next request.
Private pilot for service businesses
Scoped pilot with setup, knowledge capture, and weekly improvement reviews. Pricing is custom based on scope — book a call to discuss fit.
- Setup and business knowledge capture
- Chat receptionist on your site
- Voice receptionist when ready in your stack
- Lead dashboard with summaries and qualification
- Edge-case feedback loop
- Weekly improvement review
How Reception OS compares
Lead qualification
- Traditional automation
- Manual callback
- Generic chatbot
- Basic forms
- Semawork
- Structured scoring + fields
Human handoff
- Traditional automation
- Full manual
- Generic chatbot
- Often missing
- Semawork
- Context-rich escalation
Learns from edge cases
- Traditional automation
- No
- Generic chatbot
- Rarely
- Semawork
- Review → memory → improved response
Voice + chat
- Traditional automation
- Separate systems
- Generic chatbot
- Usually chat only
- Semawork
- Unified intake (pilot-dependent)
| Capability | Traditional automation | Generic chatbot | Semawork |
|---|---|---|---|
| 24/7 availability | Voicemail only | Yes, but shallow | Chat + voice with context |
| Lead qualification | Manual callback | Basic forms | Structured scoring + fields |
| Human handoff | Full manual | Often missing | Context-rich escalation |
| Learns from edge cases | No | Rarely | Review → memory → improved response |
| Voice + chat | Separate systems | Usually chat only | Unified intake (pilot-dependent) |
Frequently asked questions
Is Reception OS fully autonomous?
No. Some issues are handled immediately by the agent. Edge cases are logged, reviewed, and may require playbook or system updates before the next similar request is handled confidently.
Who is this for?
Service businesses that cannot afford missed leads — clinics, agencies, local operators, and teams with high inbound chat and call volume.
Does it replace my front desk?
It augments them. The system handles routine intake and qualification; humans take over when judgment, empathy, or exceptions matter.
What does the private pilot include?
Scoped setup, knowledge capture, chat receptionist, dashboard, feedback loop, and weekly reviews. Voice is included when your stack and pilot scope support it.