Answer common questions
Give consistent answers about your services, hours, locations, pricing ranges, and next steps.
AI Receptionist
A practical AI voice agent that answers calls, captures details, responds to common questions, and helps turn enquiries into booked work.
Built by Logic Sculptor — practical AI systems for real businesses.
What it does
Give consistent answers about your services, hours, locations, pricing ranges, and next steps.
Collect names, phone numbers, enquiry type, job details, urgency, and preferred follow-up times.
Connect to your calendar or booking workflow so callers can move from enquiry to action.
Ask the right questions before a human gets involved.
Deliver call summaries by email, CRM, spreadsheet, or task system.
Handle calls when staff are busy, unavailable, or out in the field.
Who it is for
If calls interrupt your day, go unanswered, or disappear into voicemail, an AI receptionist can act as the first layer of response.
Simple example flow
Every business is different, so the script, questions, escalation rules, and integrations are customised.
Why Logic Sculptor
This is not a generic chat widget. Logic Sculptor designs the full working flow around your business: the conversation, data capture, handoff, calendar rules, notifications, and backend integrations.
Pricing / starting point
Most businesses do not need a complex AI system on day one. Start with a focused receptionist flow, test it with real calls, then improve the script and integrations based on what happens.
Setup and monthly pricing depend on call volume, integrations, and complexity.
Book a setup discussion View other live systemsCommon questions
Yes. It can be configured for business hours, after-hours handling, or both.
Yes, depending on the booking system or calendar setup.
Yes. Escalation and handoff rules can be designed into the flow.
It usually works best as the first response layer, reducing interruptions and missed calls while still handing important work to people.
Yes. The questions, tone, service information, and follow-up process are customised.
Final step
Start with one practical call flow. We will map the caller journey, build the first version, and improve it from real usage.