Choice1 provides AI‑powered customer service agents that answer calls, book appointments, and qualify leads using a business’s own data. The agents are always available, integrate directly with existing systems, and deliver analytics for each interaction, eliminating the need for costly call centers. By training on a company’s knowledge base, the AI ensures consistent, on‑script responses that help warm up sales and improve customer experience.
Funding
Funding not disclosed
Founders
Product
Problem
Home service businesses often rely on traditional call centers or manual staff to answer inbound calls, leading to high labor costs, missed calls outside business hours, and time wasted on unqualified leads. Inconsistent, off‑script interactions can also damage customer experience and reduce booking rates.
Solution
Choice1 delivers AI‑powered customer service agents that can answer calls, qualify leads, schedule appointments, and respond to knowledge‑base queries without human intervention. Each agent is instantly trained on the business’s own data and integrates directly with existing CRM, calendar, and phone systems. The agents operate 24/7, handling multiple calls simultaneously while staying on‑script and maintaining a friendly tone. All interactions are logged in a secure portal that provides real‑time analytics, lead quality metrics, and performance dashboards, enabling businesses to monitor and continuously improve their call handling.
Target Audience
Primary customers are home‑service companies such as HVAC, plumbing, electrical, roofing, automotive repair, and other residential service providers that need reliable, cost‑effective call handling and lead generation.
Features
- Immediate training on a company’s proprietary data and knowledge base
- 24/7 inbound call handling with simultaneous multi‑call support
- Automated lead qualification and appointment booking
- Seamless integration with CRM, calendar, and phone systems via API
- Real‑time analytics portal with call metrics, lead conversion rates, and agent performance tracking
- Continuous machine‑learning improvement through A/B testing and interaction data
- Secure, compliant data storage and privacy controls