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RingCentral expands AI Receptionist to handle bookings, orders and messages without human handoff

RingCentral's AI Receptionist now books appointments and processes orders directly via Shopify, Calendly, and WhatsApp-no agent handoff needed. Keller Interiors cut wait times from 12 minutes to 90 seconds across 33 locations after deploying it.

RingCentral AIR Now Books Appointments and Processes Orders Without Human Handoff

RingCentral expanded its AI Receptionist product, AIR, to execute transactions directly instead of routing calls to agents. The system now integrates with Shopify, Calendly, and WhatsApp to handle order status checks, schedule appointments, and respond to messages without human intervention.

The expansion moves contact-center automation beyond call deflection toward end-to-end transaction execution. When a conversational agent both understands customer intent and triggers backend operations-payments, calendar updates, order confirmations-the technical requirements shift from routing reliability to API stability and data accuracy.

Current Deployment and Customer Results

AIR serves roughly 11,800 businesses across healthcare, financial services, construction, and legal sectors. Keller Interiors, which deployed AIR across 33 locations, reduced average wait times from 12 minutes to 90 seconds over four months and lifted customer satisfaction scores by 3 points.

Beth Owens, chief of staff at Keller Interiors, said: "RingCentral AIR solved a problem we didn't have a good human answer for."

What Changes for Sales and Operations Teams

The integrations reduce handoffs between voice systems, human agents, and backend platforms. This changes failure modes: instead of tracking whether a call reached the right person, teams now monitor whether transactions complete, confirmations send, and errors recover without escalation.

For sales operations, the system can qualify leads through conversation, check availability in real time, and book meetings directly into Calendly. For customer service, it processes refund requests and order lookups without agent involvement.

Practical Considerations

Teams deploying this type of automation should examine how the system surfaces confirmations and error recovery when it writes to payment or calendar systems. Audit logging, consent workflows, and compliance scopes-particularly for PCI data and regulated industries-require explicit attention.

The Keller Interiors metrics come from a single customer case reported by the vendor. Independent evaluations of reliability and compliance at scale have not yet appeared in public reporting.

For more on AI for Sales and AI for Customer Support, see our resource guides.

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