SunPath Energy: Solar Sales AI Appointment Setting
Brief project description (6 bullet points):
● Deployed outbound AI calling within 60 seconds of web form submission
● Built custom solar sales script covering tax credits, financing, and savings
● Integrated with Salesforce CRM and Calendly scheduling system
● Created qualification scoring algorithm (0-100) based on 8 buyer criteria
● Automated consultation booking and confirmation with calendar invites
● Added SMS nurture sequences for leads not ready to book immediately
Project overview: SunPath Energy spent $180 per lead but lost 60% due to slow, inconsistent follow-up. ActionOne.ai deployed an AI calling system that contacts leads within 60 seconds, answers solar-specific questions, and books consultations automatically. The company cut cost-per-appointment by 50% and doubled monthly consultations. ActionOne helped save $480,000 in avoided hiring costs while generating $4.2 million in new annual revenue.
Process and Key Outcomes:
One sentence: ActionOne.ai enabled SunPath Energy to contact leads 240x faster and book over 200 additional consultations monthly without hiring new staff.
One paragraph: ActionOne.ai began by recording 50 hours of SunPath’s top sales reps to capture winning conversation patterns. After building the AI script and training it on 200+ solar FAQs, integration with Salesforce and Calendly was completed in week four.
Following a soft launch and refinement period, full deployment across eight states occurred in week six. After six months, lead contact rates within one hour jumped from 22% to 89%, cost-per-appointment dropped from $380 to $190, and sales rep hours on qualification fell by 60%. Inside sales turnover also dropped from 60% to 35%.
Summary: ActionOne.ai helped SunPath Energy respond 240x faster, cut appointment costs in half, and free 1,200 sales rep hours monthly while adding $4.2 million in annual revenue.
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