Curley is an AI voice agent built specifically for waterproofing companies. Its core purpose is to automatically answer calls and complete bookings, helping waterproofing, restoration, remediation, and roofing businesses capture leads around the clock and reduce business loss caused by missed calls or slow follow-up.
Main capabilities include: 24/7 automatic answering and lead qualification; specialized training for the waterproofing, restoration, remediation, and roofing industries, enabling it to accurately answer customer questions; automatic booking and adding appointments to the calendar; customized responses based on the company's services; generating detailed call summaries and lead information; integration with existing CRMs; support for intelligent routing (coming soon); and weekly email reports with actionable insights.
How to use it: Curley's AI voice agent connects to a company's phone and automatically answers incoming calls. If the AI encounters a question it cannot answer, it can be configured to transfer the call to a designated team member, or to record a message and immediately notify them via email/SMS. Appointments can sync directly to Google Calendar, Outlook, and popular calendar and CRM systems such as Jobber, Salesforce, ServiceTitan, Housecall Pro, and Zoho CRM, reducing administrative work and the risk of double bookings. The AI agent's script, voice tone, and answers can all be highly customized to the company's brand and services.
Use cases: Suitable for businesses in the waterproofing, restoration, remediation, and roofing industries, especially companies looking to improve answer rates, booking conversion rates, and customer satisfaction. Example scenarios include foundation work quote requests, inspection appointments, emergency basement flooding, and appointment cancellations.
Limitations and notes: Pay-per-performance, with no minimum call commitment, and flexible scaling up or down; a 30-day money-back guarantee; the support team responds to inquiries within 24 hours. The current information does not provide details such as specific pricing, implementation step duration, or supported languages, and these are not yet available.