AI Telephone Reception

Every call.
A connection that counts.

AI Telephone Reception connects three-language conversations, approved knowledge and human support. From common questions to booking guidance, service starts with the first hello.

Explore AI telephone reception

Project assessment · Voice, carrier and integrations require validation

廣東話普通話English
AI Telephone ReceptionExample conversation
Caller

I’m planning a day camp for a school group.

AI assistant

Of course. What date are you considering, and how many people will be joining?

Answers from approved knowledge
Text conversation example · No call or microphone access
Answers from approved knowledgeA person when it mattersContext for the next step

One conversation.
Four connected steps.

Your AI receptionist answers from approved knowledge and connected information. When the information is insufficient or a caller needs a person, it follows your handover or message-taking process.

  1. 01

    Answer and introduce

    Explain AI identity and relevant recording arrangements.

  2. 02

    Understand and check

    Identify the enquiry and consult approved sources.

  3. 03

    Respond or hand over

    Give a grounded answer or bring in a person.

  4. 04

    Keep the context

    Prepare the summary and outcome for the next step.

AI Telephone Reception

Every part has a place.

Cantonese, Mandarin & English

Support enquiries in three languages and switch language during a conversation. Speech and recognition quality are validated for your deployment.

Knowledge you control

Turn documents and calls into candidate knowledge for staff review and publication. Only published, valid information becomes an answer source.

Read-only information & guidance

Read from enabled website or spreadsheet connections and guide callers to booking links. Messaging depends on the integration and caller consent.

A person when it matters

Authorised staff can monitor and take over calls, with transfer or message-taking based on service hours, the enquiry and your organisation’s settings.

AI + YOUR TEAM

From answering a call
to knowing what comes next.

Review call summaries, outcomes and service performance. Manage knowledge updates and caller records, and turn conversations into work your team can follow up.

  • Live call and human takeover workspace
  • Call summaries and outcome records
  • Knowledge review, versions and publishing
  • Permission-based caller and service settings

The initial scope is enquiries and booking guidance. The AI does not create, hold, change or cancel bookings, or make payments on a caller’s behalf.

A handover with contextExample

Know the context before you take over.

The caller is exploring a school day camp and would like to discuss the arrangements with your team.

  • Enquiry: group day camp
  • Context: preferred date and estimated group size
  • Next step: hand over to authorised staff
Example flow · Subject to your service settings
Concept illustration, not actual customer or operational data

Part of your service.
Built around your team.

Start with your telephone setup, common questions and human support arrangements. Assess knowledge, information sources and deployment step by step, with each organisation retaining its own service policies and data boundaries.

  • Three languages
  • Approved knowledge
  • Human handover

A few useful answers

A little clarity before we begin.

Can the AI make bookings or take payment?

The initial scope is enquiries and booking guidance. It does not create, hold, change or cancel bookings, and it does not process payments.

What if it cannot answer, or a caller wants a person?

The system follows your configured process: transfer to staff, take a message, give service hours or end the call. Human support arrangements are confirmed before deployment.

Can it answer directly from recordings or unapproved material?

Knowledge must be prepared, reviewed and published before becoming an approved answer. Recording, notices, retention and access are configured for your policies and applicable requirements.

Your next step
starts with a conversation.

Tell us what you want to improve, or let’s explore where AI could make a useful difference.

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