An AI phone receptionist built around your real front desk.
Kingstone designs AI phone receptionists that answer in your business's voice, use approved knowledge, capture the reason for the call, and hand the right context to a person or connected system.
Where this helps
The operational problem comes first.
- Calls ring out during busy periods or after hours
- Staff repeat the same answers while higher-value work waits
- Voicemails preserve a number but lose urgency and context
- Callers must repeat themselves after a transfer
How the workflow operates
From customer request to owned outcome.
01
Answer on the approved number
Use a new number, forwarding rule, or supported phone configuration without disrupting the existing operation.
02
Identify intent and urgency
Ask only the questions needed to route the call, using business-approved knowledge and decision rules.
03
Complete or hand off
Answer, schedule, capture a request, send a message, or transfer with the reason and relevant history attached.
04
Record the outcome
Write approved facts to the CRM, practice system, service platform, or internal notification channel.
Inside the solution
Capabilities with an operating boundary.
The exact build is specific to the business. These are the reusable capabilities we combine once the workflow and authority are clear.
Natural inbound conversations
Voice experiences designed for interruptions, uncertainty, corrections, and real caller phrasing.
Multilingual coverage
Language support scoped around the audience, approved content, and staff who receive the handoff.
After-hours rules
Different behavior by time, service, urgency, location, or on-call responsibility.
Transfer with context
Warm transfers and notifications that explain why the caller needs a person.
Connected systems
Built around the stack you already use.
Availability varies by product, plan, API access, geography, and permitted action. Kingstone validates the exact path during scoping.
Controls and ownership
Designed for the exception, too.
- Approved knowledge only
- Explicit prohibited topics
- Fallback when confidence is low
- Call recording and consent rules by jurisdiction
- Human ownership for urgent or sensitive requests
Healthcare deployment
View the deployment
Croatian call handling for a 17-doctor clinic
Calls that previously rang out are answered in Croatian, with the caller's name and reason captured before reception steps in.
Questions
What teams ask before scoping.
Does this replace our phone system?
Not necessarily. The implementation can use forwarding or supported integrations around the phone setup you already have. The exact path is validated before launch.
Can it transfer to our staff?
Yes, when the phone and workflow support it. We define who receives which calls, during what hours, and what context accompanies the transfer.
What happens when the AI is unsure?
Uncertainty is part of the design. The system can clarify, capture a callback request, or hand the conversation to a defined human owner.
Map your version
Bring us the workflow, systems, and constraint.
We will identify the smallest responsible implementation and what it would take to operate it.