New custom integration streamlines the lead-to-appointment process with AI
CallRail, the AI-powered lead engagement platform, announced a powerful integration between its AI voice agent, Voice Assist, and Calendly, the world’s leading scheduling automation platform. Small businesses can now convert high-intent callers into confirmed appointments 24/7, without a human ever picking up the phone.
Inbound calls are the highest-intent touchpoint for service-driven businesses, yet 28% of business calls go unanswered, according to CallRail research. Many of these missed leads never call back. By seamlessly integrating Voice Assist and Calendly, businesses provide an always-on front line that answers inbound calls, qualifies leads, and books appointments in real time, even after hours or during peak rushes.
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“Every minute matters when a customer contacts your business,” said CallRail Chief Product Officer Ryan Johnson. “This integration eliminates any extra steps after the phone call that often cost them leads. By booking appointments instantly, on the call businesses can deliver the fast, seamless experience customers expect.”
Historically, small businesses have struggled with manual follow-ups and friction-filled booking processes. This integration removes those hurdles by allowing the AI voice agent to:
- Identify intent: Recognize when a caller wants to book an appointment.
- Check real-time availability: Access connected Calendly calendars instantly.
- Close the loop: The caller leaves the interaction with a confirmed appointment.
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“We’re excited to partner with CallRail to help small businesses reduce friction and make the most of every customer interaction,” said Calendly Chief Technology Officer Chirag Chheda. “It highlights the power of our platforms in helping shared customers turn interest into action through a seamless scheduling experience.”
Early users of Voice Assist reported a 44% increase in answered calls. Now amplified with Calendly’s automated 24/7 booking feature, customers can further increase operational efficiency and conversion rates.
