Toma builds Voice AI agents specifically designed for automotive dealerships to handle customer conversations and operational tasks. These AI agents serve as an operating system for dealership communications, answering inbound calls and managing customer interactions automatically.

The system provides comprehensive inbound automation with real-time responses, booking appointments, qualifying leads, and routing complex inquiries to human team members. Key features include service scheduling that integrates directly with service schedulers and DMS, full-store receptionist capabilities for handling regular inquiries, automated reminders via text and calls to reduce no-shows, and dropped call SMS follow-ups that instantly text customers who hang up or lose connection.

Toma operates using a methodology called ART (Adoption, Resolution, Tailor) to build and deploy AI agents personalized to each dealership. The system focuses on building AI agents that customers actually want to speak to, with customized voices, tones, and ultra-low latency. It integrates with dealership systems to resolve customer requests rather than just acting as conversational voicemail, and tailors each agent to mimic the dealership's best employee while understanding individual dealer preferences.

The product protects revenue by ensuring no missed calls or service opportunities, saves significant staff time (with examples showing 43+ hours saved monthly), and improves customer satisfaction metrics. Dealerships benefit from reduced workload for service advisors and BDC teams, increased appointment bookings, and additional revenue generation while maintaining high-quality customer experiences.

Toma is specifically designed for automotive dealerships and their service departments, with integrations to dealership management systems and service schedulers. The system includes safeguards like transfer triggers that route calls to humans when needed, transfer clawback that re-engages customers if transfers go unanswered, and follow-up alerts that notify team members with full context for timely responses.