Toma

NEW: Missed appointments are costing dealers 💸💸💸. We built a fix. Our Automated Appointment Reminder feature is now live! Toma's AI doesn't just remind customers about appointments—it actually reschedules them on the spot when they try to cancel. Now you can sit back and let AI make all of your appointment reminder calls. Giving back valuable time to your team and drastically reducing no-show rates. Read the full update and listen to a live demo ⬇️ #ServiceDepartment #FixedOps #DealershipAI #AutomotiveAI

Most legacy enterprises retroactively apply AI features to their products. The results are suboptimal: ❌ One-size-fits-all AI workflows across customers ❌ Slow agent improvement feedback loops ❌ Difficult to migrate to newer, smarter LLMs ❌ High prompting overhead At Toma, we built an agent workflow orchestration platform that relies on ✨C͟a͟p͟a͟b͟i͟l͟i͟t͟i͟e͟s✨, rather than prompts. Think of an AI agent as a tuple of: - P͟e͟r͟s͟o͟n͟a͟l͟i͟t͟y: a prompt describing how the agent talks and operates - C͟a͟p͟a͟b͟i͟l͟i͟t͟i͟e͟s: a collection of customer intents the agent can satisfy Then, each C͟a͟p͟a͟b͟i͟l͟i͟t͟y becomes a tuple of: - I͟n͟s͟t͟r͟u͟c͟t͟i͟o͟n͟s: prompt describing how to complete a task - T͟o͟o͟l͟s: an input/output definition and accompanying script - K͟n͟o͟w͟l͟e͟d͟g͟e: human-generated instructions to reinforce the capability From following this pattern, we are able to iteratively build, test, and improve various end-to-end workflows that used to be reserved for humans even just a matter of months ago. --- Like solving complex agentic architecture problems and building tooling for AI agents to use in production? We're hiring TWO critical roles on our engineering team: ⭐️ Software Engineer (Product) ⭐️ Software Engineer (Integrations & Partnerships) See our jobs link below.

After a year of traveling the country and building Toma alongside dealers, I'm excited to share our journey at DMSC 2025! I'll be on the panel kicking off the event, "Tech Talk: New Solutions For Progressive Dealers". Please check the comments to learn more about Toma and the event. Also, thank you to Brian Pasch and his team for hosting the event and helping us introduce Toma to the industry! Brian Pasch #DMSC25 #AutomotiveAI #DealershipAI #VoiceAI #DealershipAutomation

Of course the fastest voice AI in auto is bringing the F1 racing simulator back to ASOTU CON 🏎️🏁 Toma is thrilled to make our introduction to the ASOTU Community and cannot wait to meet everyone! We've been in the trenches with dealers nationwide, building solutions that address your actual pain points—not just adding AI everywhere for the hype. Check the comments to demo Toma live on our site before the event! ASOTU | More Than Cars #ASOTU #ASOTUCON #DealershipAI #AutomotiveAI #DealershipAutomation

Your outie turns legacy software into agentic workflows for the nation's largest underserved niche. Come join us in doing work that is the MOST mysterious AND important. Jobs link below.

Appointment Rescheduling? Automated by Toma 🔈Listen in on this call where Toma seamlessly reschedules a customer's appointment. Let Toma handle routine appointment calls while your advisors focus on what technology can't replace

Well hello automotive 👋 We're excited to announce Toma is sponsoring the 2025 Digital Marketing Strategies Conference! We're kicking off the event on the opening panel: "Tech Talk: New Solutions For Progressive Dealers" alongside Carol Marshall, Glenn Pasch, and Matthew Davis. Before we connect at the conference, take Toma's interactive demo for a test drive (link in the comments). Looking forward to introducing Toma to some of the most advanced dealerships in the industry! Pasch Group PCG Digital TradePending ActivEngage #DMSC25 #AutomotiveRetail #DealershipAI #AutomotiveAI #DealershipAutomation

What can AI actually do for dealerships beyond basic chatbots? After hundreds of hours on dealership floors, we discovered the real transformation happens deeper in the operations. Our latest article reveals what's working TODAY: automating parts inquiries, converting recalls into revenue opportunities, eliminating no-shows, and retiring those dreaded phone trees. Check the comments for our full breakdown👇 #AutomotiveRetail #DealershipOperations #DealershipAI #FixedOps #AutomotiveAI

History doesn't repeat, but it rhymes. Today's AI boom is unfolding a lot, just as car production did in the early 20th century. 🏎️💨 Hear me out. ⭐️ Startup Explosion → Brutal Consolidation In the 1900s, over 3,000 automobile companies emerged in the US. By 1929, the "Big Three" (GM, Ford, Chrysler) controlled 75% of the market. Today's thousands of AI startups (including us at Toma) will *probably* face the same mathematical reality. ⭐️ Technology Wars On top of that, early cars saw fierce competition between electric, steam, and gasoline technologies. Gasoline won decisively in the 1910s. The current debates between home-grown vs. foreign models, LLMs vs. SSMs, and open- vs. closed-source will eventually have a decisive victory. ⭐️ Capital Intensity Ford's assembly line innovation required massive capital but reduced the Model T's price from $850 to $290. Similarly, training today's frontier AI models requires billions in compute. The winners aren't just those with the best ideas, but those with sufficient capital to scale and iterate. ⭐️ Market Cycles Matter The Great Depression ruthlessly culled auto manufacturers, leaving only the strongest standing. With fears of recession, a similar shakeout looms for AI startups that raised funds recently but haven't found sustainable revenue models. ⭐️ Speed of Change What took decades in the automotive era happens in months with AI. ChatGPT reached 100M users in two months; the auto industry needed decades to reach similar penetration. This acceleration means both opportunities and threats materialize faster, giving companies less time to adapt. ⭐️ Core Difference: Digital vs Physical Unlike cars, AI models can be distributed globally instantly at near-zero marginal cost. This fundamentally changes scaling dynamics and competitive moats. The barriers aren't manufacturing capacity but data, talent, and compute access. ⭐️ Prediction By 2030, we'll look back at 2022-2025 as the "Model T moment" for AI – when the technology transitioned from novelty to necessity. Most AI startups from this era will be footnotes in history, acquired for talent or defunct. The handful of winners will become the economic engines of the next half-century, just as the auto giants defined the 20th century. Sounds gloomy. What can we learn from all this? Execution trumps innovation. Having the first AI breakthrough is like building the first car – historically interesting but commercially irrelevant if you can't build something people truly want.

At Toma, we love hearing from customers that we're the best AI service scheduler they've ever used (especially when they're coming to us after churning 3 or 4 other solutions). But it wasn't always that way. When we released our Service Scheduling feature almost a year ago, we trusted our AI to book services in our customer's scheduling software. For instance, if Bob from Waukesha sees "OIL" lit up on his dashboard, he will call our AI, and the AI will book him for an oil change service. Easy, right? That was until we booked one of our customers' entire main drive up for weeks with transmission fluid changes. That meant the express drive––the lanes with technicians that actually do oil changes––was a ghost town, and vehicle owners with serious car problems had to wait a month or more. It was a disaster. Then, our system alerted us just hours before our customer noticed what was going on. We started digging deeper. It turns out that our customer accidentally deleted the "oil change" opcode in their scheduler. To make matters worse, LLMs have little context of the automotive industry. Hence, our AI believed "transmission fluid change" was closest to an oil change, and it was booking that for everyone. We quickly built a customer-facing tool that checks to ensure ALL common services are supported in their scheduler and available to their custom AIs. Even better, we got the AI to analyze each service and intelligently pick the right one based on customer requests with high accuracy. Now, over 80% of all customers who call a Toma dealer wanting to book a non-recall appointment get it done with no human intervention, and it's only getting better. --- Wanna learn more about how we enable the best dealers in the U.S. to fill their service drives while also boosting customer satisfaction? Check out our site below.