Scoped pilots & custom projects
AI Receptionist & Inbound Customer Service in Singapore
Turn incoming calls into a clear next step.
AI receptionist and inbound phone answering pilots in Singapore. Handle routine enquiries, capture service requests and plan human handover with ADSM.
An AI phone assistant or AI receptionist can support your front desk and customer-service team. ADSM is currently building an inbound AI calling workflow for appointment booking, giving the team practical experience with enquiry capture, booking steps and staff handover. Each new pilot is still assessed around its own call types, approved information, phone setup and system connections.
AI phone answering for everyday customer enquiries
Start with a repeatable enquiry that has a clear answer, a clear owner and a safe next step. The following are potential pilot use cases, subject to assessment.
Routine customer enquiries
Answer agreed questions about opening hours, locations, services and preparation instructions using approved company information. Unclear questions should move to a person.
After-hours and overflow calls
Assess a call-answering workflow for times when staff are unavailable or lines are busy. Capture the reason for calling and a callback request, with an agreed fallback route.
Service request intake
Collect the details needed to start a support case, such as a product reference, issue description and preferred contact time. Confirm important details with the caller.
Appointment requests
Capture a preferred date, service and location for staff confirmation. Live availability checks and direct booking require a separately assessed calendar integration.
Order or job-status enquiries
Where an authorised integration and suitable identity checks are available, assess retrieval of approved status information. Avoid disclosing account details based only on an incoming phone number.
Department routing and handover
Identify the reason for the call and the right team. Test live transfers where the phone setup supports them; otherwise collect a message or callback request with clear ownership.
From an incoming call to a useful next action
A proposed call-answering workflow, designed around your operating hours and team responsibilities.
- STEP 01Customer calls
An agreed number or forwarding route receives the call.
- STEP 02AI greeting
Identify the assistant and explain relevant call notices.
- STEP 03Understand the request
Clarify the enquiry and confirm key details.
- STEP 04Answer or capture
Use approved information or record a request for review.
- STEP 05Human handover or fallback
Transfer where supported, or arrange a callback request.
- STEP 06Record the next action
Provide a summary and route the task through the agreed workflow.
A human handover must be more than a promise in the script. Before rollout, test what happens when the recipient is busy, the transfer fails or an integration is unavailable.
Example: a customer calls about a service request
Illustrative script — not a customer recording
Assistant: “Hello, you’re speaking with the company’s AI assistant. How can I help?”
Customer: “I need someone to check my equipment.”
Assistant: “I can take the details for the service team. Which equipment is this about, and what problem are you seeing?”
The assistant confirms the details and, within the agreed workflow, prepares a service request or attempts a supported transfer. It should not invent a diagnosis, confirm an unbooked visit or promise a response time the team has not agreed.
Connect the call to your existing workflow
An automated phone-answering service is useful when the information reaches the right person or system. Each connection is scoped and tested separately.
Phone number and call routing
Review your current number, provider, forwarding options or PBX before choosing a connection method. Number retention, transfer behaviour and simultaneous-call capacity need testing.
CRM and helpdesk
A scoped integration can create a lead or ticket, attach a call summary and assign an owner. Required fields, duplicate handling, permissions and integration failures need clear rules.
Calendar and service systems
Check whether the system exposes suitable interfaces. The pilot should distinguish a booking request from a confirmed booking, and avoid confirming an action that failed.
WhatsApp and email follow-up
Optional follow-up can send agreed information or pass a task to staff. Channel permissions, approved messages and provider requirements are assessed separately.
Keep staff in control of important decisions
- Approved answers: define the information the assistant may use, how updates are approved and which questions it must refer to staff.
- Clear handover: let callers ask for a person and define a fallback when no one is available.
- Bounded actions: do not let the assistant authorise refunds, change contracts or disclose restricted information without the required checks and approval.
- Call-data choices: agree caller notices, whether recording or transcription is needed, access permissions, retention and deletion before the pilot.
- Operational fallback: plan what callers hear if the voice service, knowledge source or business system is unavailable.
- Human review: review misunderstandings and unresolved calls before expanding the assistant’s scope.
Begin with routine, non-emergency enquiries. Urgent or sensitive cases need the appropriate existing response process and qualified staff.
A practical way to start
1. Review the current calls
Identify the most common questions, missed-call patterns, languages, operating hours and current handover process. Use anonymised examples where possible.
2. Define one pilot workflow
Agree approved answers, required caller details, escalation rules, fallback routes, data handling and acceptance criteria.
3. Test realistic scenarios
Test interruptions, unclear speech, names and reference numbers, requests for a person, unavailable staff and failed system actions. Confirm details before recording or acting on them.
4. Review before expanding
Review answer quality, complete request capture, transfer outcomes, unresolved cases and staff correction effort. Expand only when the agreed checks are met.
The aim is a dependable workflow for a defined set of calls. A pilot does not establish that every enquiry can be automated or that every incoming call will be answered.
Questions before an inbound AI calling pilot
Is this a ready-made subscription or a custom project?
ADSM currently assesses inbound AI customer-service calling as a scoped pilot or custom project. We first review the call types, phone setup, company information and integration requirements. Scope and commercial terms are agreed before implementation.
Can we keep our existing business phone number?
This depends on your provider and phone setup. Forwarding or integration may be possible, but number retention and routing should be checked before any commitment or change to the live line.
Can it transfer calls to our team?
Live transfer can be assessed where supported by the telephony setup. The pilot should test answered, busy and unanswered transfers, with a callback or message fallback when a person cannot be reached.
Can it book appointments or check order status?
Capturing a request can be part of the initial scope. Confirming a booking or retrieving account information requires suitable system access, validation and, where relevant, caller verification. These integrations are assessed separately.
Which languages and accents can it handle?
Required languages, Singapore accents, names, addresses and noisy calls should be tested with representative examples. Supported languages and acceptance criteria are confirmed for the pilot; universal understanding is not promised.
How much does an inbound pilot cost?
Pricing depends on setup, call usage, peak concurrency, phone connectivity, integrations and support requirements. ADSM provides a scoped proposal. Existing outbound calling prices do not automatically apply to this service.
What happens when your customers call?
Tell us which calls take up your team’s time and what should happen next. ADSM can assess whether an inbound AI assistant is suitable for a focused pilot.
Useful details for your enquiry
Share what you know; these are discussion prompts, not extra mandatory form fields.
- Your industry and the main reasons customers call
- Approximate daily call volume and peak periods
- Operating hours and required languages
- Current business number, phone provider or PBX, if known
- Who should receive transfers or callback requests
- Existing CRM, helpdesk or booking system
- Your preferred pilot scope and target timeline
Please remove sensitive customer information from examples you share.