Toma IQ: The AI that actually learns how your dealership operates
Toma IQ learns your dealership's policies, processes, and preferences over time, turning every call into institutional knowledge.
By Chris · March 2026
Every AI vendor says their system "gets better over time." Here's what that actually means, and why Toma IQ is different.
Voice AI can outperform humans on service calls until edge cases emerge. The Pied Piper 2025 Service Telephone Effectiveness Study examined over 2,100 dealerships and discovered AI handling end-to-end calls scores 72, eight points above the dealer group average. When transferring to humans, that same AI drops to 50, falling 14 points below average and 22 points below its standalone performance.
The technology itself isn't the problem; handling exceptions is. Most dealership AI lacks knowledge about when to escalate, who to route calls toward, or how to maintain customer engagement during resolution. The system was never taught how that specific dealership operates. Critically, failed edge cases repeat weekly because the AI learned nothing from the failure.
Why "AI that gets better over time" is only half the story
Most AI vendors speak truthfully but incompletely. They rely on global model updates from foundational model companies, real and powerful improvements that reduce hallucinations and improve intent recognition.
However, global updates cannot know that F-150 recall customers need two-week scheduling minimums or that fleet account mentions warrant commercial team routing. Those details come exclusively from your calls, the workflows your team developed, the edge cases your managers solved, and the preferences your service director embedded into operations. The genuine gap in dealership AI isn't the underlying model; it's the learning loop.
Introducing Toma IQ
Toma IQ operates as an intelligence layer using reinforcement learning with human feedback (RLHF), the technique powering the most advanced AI systems globally, now applied to dealership operations specifically. Rather than improving through generic training data, the AI learns from actual outcomes in its specific environment, guided by human judgment. Successful scenarios are repeated; when humans intervene and handle situations differently, the system learns why that approach worked better.
Toma's founding team built careers on this technology at Scale AI, Uber, and Amazon before applying it to automotive. Toma IQ represents one of the earliest dealership AI products explicitly integrating human feedback into how agents learn real-world workflows, policies, and edge cases specific to each dealership location.
How Toma IQ works in practice
Toma IQ executes three continuous background functions:
- It analyzes your calls. Every call receives review for patterns: scenarios involving specific human intervention, recurring edge cases, and situations where particular responses consistently delivered superior outcomes.
- It generates plain-language policy recommendations. When codifiable patterns emerge, Toma IQ drafts specific, actionable recommendations your AI Coworker can adopt: plain-English policies your service manager can read and approve or reject.
- It puts you in full control. Every recommendation lands in your My Policies hub, and nothing changes until a manager approves it. One click accepts. One click rejects. Every change logs, and every policy reverses at any time.
A sample recommendation: "When a customer asks about loaner vehicle availability and mentions needing it for more than five days, offer to check with the service manager before confirming." The entire process requires less time than reviewing a single call.
The difference between global intelligence and yours
The intelligence Toma IQ builds belongs to your store, not Toma's platform. When competing vendors release updates, all customers receive identical improvements. Toma IQ operates differently. Every policy recommendation originates from your calls, reflects your team's handling preferences, and requires explicit manager approval before implementation. A Honda store policy doesn't affect your adjacent Chevrolet store unless you apply it.
This generates compounding advantage. Extended Toma use means your AI Coworker has been progressively shaped by how your operations actually function. That gap between your AI and generic systems widens weekly, and cannot be replicated because it builds from your data and your call patterns.
Included in base pricing. Available today.
Toma IQ comes included with base Service Agent and Full-Store Receptionist pricing. It's not a tier upgrade or an add-on. Admins access it through My Policies in Team Settings, where long-running customers likely have policy recommendations awaiting review.
After turning Toma on and listening to the first few recordings, it felt like we have another member of the team on the phone.