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Toma

Toma

AI agents for automotive dealerships Cars • CRM 7 121 getviktor.com An AI coworker that actually does the work Productivity • Artificial Intelligence • Business Matt Swulinski I run growth at Wispr Flow, so I spend most of my time deep in AI tools and automation. I'd been following Fryderyk and the Zeta Labs team since Jace, their AI email assistant, and was impressed by how fast they shipped product. When Fryderyk showed me Viktor, it clicked immediately. I'd been spending hours building automations in Claude Code - stitching together context, writing scripts, trying to make things persistent and scheduled. Viktor did all of that natively. It just lives in Slack, already has the context from your tools and conversations, and runs on its own. But the thing that genuinely blew me away was the proactive behavior. Viktor doesn't just wait for you to ask. It observes how your team works, chimes in when it spots something relevant, and suggests automations you didn't think to set up. I've never seen an AI tool take initiative like that. I ended up advising the team on growth strategy because I believe this is how every team will work within a few years. Not another tab. Not another tool. A coworker that lives where your team already communicates. If you're skeptical, give it your worst task. That's what convinced me.

Overview

What it is

Toma builds Voice AI agents for automotive dealerships that answer every call, automate service scheduling, and protect revenue with dealer-specific safeguards. Improve CSI, reduce missed calls, and streamline customer communication.

Intent

I need it when

Improve customer satisfaction index (CSI) and response times for service inquiries

Toma provides real-time responses to customer calls, transfers complex issues to advisors with full context, and sends follow-up alerts. The unified inbox consolidates all customer interactions (calls, texts, messages) with transcripts and sentiment analysis, enabling faster resolution and better CSI scores.

Handle OEM recall inquiries and seasonal call spikes without overstaffing

Toma detects recall-related inquiries, provides dealership-specific responses, alerts staff for parts availability, and manages customer expectations. The AI scales elastically during peak periods (seasonal surges, recall events) without requiring permanent headcount increases.

Reduce service advisor workload and missed calls during peak call volume periods

Toma's AI voice agent handles 50%+ of inbound service calls autonomously, booking appointments directly into DMS and scheduling systems. This frees service advisors to focus on in-person customers while eliminating missed calls, as demonstrated by Boulder Nissan saving 43 hours monthly and booking 180 additional appointments.

Automate appointment scheduling and reduce no-shows without hiring additional BDC staff

Toma integrates with dealership scheduling software and DMS to book appointments in real-time, send automated reminders via SMS/calls, and follow up on dropped calls. This eliminates the need for outsourced BDC labor while maintaining 24/7 availability, as shown by Middletown Honda avoiding $100K+ in annual BDC costs.

Capture service revenue from inbound calls that would otherwise be missed or mishandled

Toma's AI qualifies leads, books appointments, and routes complex inquiries intelligently. Case studies show $23,400+ in captured repair order revenue monthly and $3M+ in annual service revenue generation through improved call handling and appointment booking.

Drop

Not a fit when

  • Dealership does not have inbound phone volume or service call operations to automate
  • Organization requires on-premise deployment or cannot use cloud-based AI solutions
  • Dealership uses legacy DMS or CRM systems with no API integration capability
  • Business model does not involve automotive retail, service, or fleet management
  • Organization requires pricing transparency before demo and does not accept custom enterprise quotes
Commercials

Pricing

Pricing not specified