Seven custom agents for dealers, OEMs, and EV aftersales. Each one finishes work in your systems instead of dumping another FAQ transcript.
Hero Motocorp needed a site and app so workshops could order spare parts with dark-store delivery. That delivery work sits next to the parts and aftersales agents we build today.
Live in 28 days, 800+ SKUs onboarded, six dark stores for 30-40 minute delivery, then scaled to eight cities as published on our portfolio.
Missed calls, RO chase, and warranty packet gaps burn advisor time. Agents help when they act inside your policy, not when they invent coverage.
You need agents that survive peak service weeks and security review. We build custom software for your stack, not a locked dealer chatbot product.
Automotive customer journeys sit inside larger ecosystems. We map agent patterns to the sectors your OEM or dealer network already serves.
You get a clear path from one automotive KPI to monitored AI agents for automotive that service and sales desks will actually use.
Start with one agent on one KPI, expand to an automotive suite, or embed a dedicated team. Pricing stays Custom until we see your DMS landscape. Quality means scoped tools, HITL gates, and ISO 27001 certified delivery when security reviews the build.
Published portfolio results you can verify. We do not invent dealer conversion or warranty ROI for AI agents for automotive.
A chatbot-only FAQ answers automotive questions. Scripted bots follow fixed trees. BigOhTech Automotive AI agents also draft bookings, warranty packs, and voice hand-offs with approval when risk is high.
Six high-frequency places for agentic AI automotive programs - each with a human exit when stakes rise.
Stack choice follows your DMS and CRM landscape and which systems agents may touch. We stay on tools BigOhTech already delivers with.
Agents only help when they meet automotive systems where work already runs - DMS, CRM, messaging, and cloud.
We build Automotive AI agents so service and sales desks get bounded actions - not another FAQ widget that explains policy while bookings and warranty packets stall. How far has automotive moved from mentioning AI toward agentic systems that execute multi-step customer and ops work?
Features that make AI agents for automotive useful in production - retrieval, tools, voice, warranty packs, and audit gates together.
We pick one KPI and one workflow, wire limited tools, and score task success and overrides inside about 40 free hours. You decide whether to expand without a long contract first.
No. They capture routine intents and draft hand-offs. Advisors still own empathy-heavy and safety-sensitive conversations.
Typical scope covers discovery, journey mapping, DMS/CRM integrations, HITL gates, a pilot on one KPI, and production monitoring. First agents often own customer care, service booking, parts, voice after-hours, warranty assists, or fleet desk chase.
OEMs often start with warranty, recall, and brand CX agents. Dealer groups often start with booking, voice after-hours, and parts counter agents on DMS and CRM.
Only if you explicitly allow it - and even then we prefer draft-plus-HITL for payments. Most teams keep payment capture behind human approval at first.
We offer ongoing monitoring, prompt and tool updates, and incident support so agents stay accurate as catalogs and policies change. See our IT Support and Maintenance services for how post-launch ownership works.
A chatbot answers. Agentic AI in automotive also calls tools - book a slot, open a case, flag a missing warranty doc - and stops for approval when risk is high.
They draft slots from approved calendars and escalate when capacity, loaners, or goodwill exceptions need an advisor. Ops approve paid job commits.
Custom work product is handled under your MSA and SOW. We work under NDA for customer and vehicle data discussions.
You get pilot-first delivery, permissioned tool use, and honest adjacent proof - not invented dealer ROI. We build custom agents on your stack as an IT agency, not a locked chatbot product.
No. It speeds checklist audits and packet status. Advisors and warranty teams keep final coverage judgment.
A simple pilot can start after discovery and scoped connectors - often weeks, not a multi-year platform rewrite. Multi-rooftop suites take longer when DMS landscapes are complex.
Share your project goals, timeline, and technical requirements. We'll review your requirements and send a tailored solution with an indicative estimate within 48 business hours.
