Automotive

Automotive Intelligence, Built on Cloud and AI.

We build the cloud platforms, GenAI agents, and custom applications that help automotive OEMs transform service, support, and enterprise operations — from dealer networks and warranty management to 24/7 AI-powered customer engagement.

Explore AI Engineering

Multimodal AI deployed

service & repairs — tractor & auto

Cloud + AI + Custom Apps

integrated, not siloed

The Challenge

Where automotive enterprises lose time, revenue, and customer trust.

The biggest technology problems in automotive aren't in the vehicle — they're in the enterprise systems, dealer networks, and customer touchpoints that surround it.

After-Sales is Reactive and Manual

Warranty claims take weeks. Technicians rely on tribal knowledge for diagnostics — cross-referencing paper manuals, calling experts, and guessing. Customer queries about their vehicles go to call centres that look things up in the same fragmented systems. High cost, low satisfaction, slow resolution.

Dealer Network Visibility is Fragmented

OEMs often lack real-time visibility into dealer inventory, service pipeline, and customer engagement across their network. Data sits in dealer management systems that don't talk to each other or to the OEM's own platforms — making demand planning and service quality management reactive and slow.

Product Knowledge is Locked in Experts

Service manuals, repair guidelines, fault histories, and technical service bulletins are spread across PLM, DMS, and SharePoint. New technicians take months to become useful. When experienced engineers leave, their knowledge leaves too. The cost of that expertise gap shows up directly in first-call resolution rates.

What We Do Here

Cloud, AI, and custom software — applied to automotive.

We don't build embedded systems or vehicle software. We build the enterprise technology layer — cloud infrastructure, AI agents, custom applications, and operational resilience — that modern automotive organisations run on.

GenAI Agents for Service & Aftermarket

We build AI agents that transform how automotive OEMs handle service, support, and warranty — voice-based service booking, multimodal troubleshooting AI for field technicians, 24/7 conversational support for customer vehicle queries, and automated warranty claim processing.

Multimodal AI Voice Agents RAG on Service Manuals Warranty Automation

Cloud Infrastructure & Migration

We migrate and modernise the applications and data infrastructure that automotive enterprises run on — dealer management systems, customer portals, supply chain platforms — from legacy to cloud-native, batch to event-driven, cost-optimised by design.

Cloud Migration Multi-Cloud Data Platforms CI/CD

Custom Application Development

Automotive workflows don't fit off-the-shelf software. We build custom dealer portals, service management platforms, warranty processing systems, and customer engagement apps — integrated with your DMS, ERP, and CRM, not replacing them.

Dealer Portals Service Apps API Integration Mobile-First

Resilient Operations Center (ROC)

BootLabs ROC provides 24/7 monitoring, incident management, and operational intelligence for automotive IT environments. We keep customer-facing platforms, dealer systems, and production-critical applications observable, resilient, and recoverable.

24/7 Monitoring Incident Response Observability SLA Management

Deployed GenAI Use Cases

AI agents we've built for automotive OEMs.

Production-deployed agents grounded in real automotive data — service manuals, DMS records, warranty histories, and customer interaction logs.

Service & Repairs AI

Transforming how technicians and customers interact with vehicle service:

→Multimodal troubleshooting AI (tractor & auto)
→Voice-based service booking & requests
→24×7 conversational support for vehicle queries
→Warranty claim processing agent

Knowledge & Compliance

Unlocking institutional knowledge trapped in documents and experts:

→Secure enterprise RAG platform
→Inspection checklist extraction agent
→Statutory compliance & inspection failure prevention
→AI modelling guidelines assistant

Workforce & Operations

Reducing operational friction and tribal knowledge risk:

→AI ticketing system for employees
→JD & CV match agent for hiring
→Intelligent asset & contract lifecycle agent
→Vendor performance scoring agent

Industry Trends

Where automotive enterprise technology is heading.

The OEMs investing in AI and cloud now will have a structural advantage in service quality, cost efficiency, and customer loyalty within 18 months.

Trend 01

Multimodal AI in Service & Field Operations

Text-only AI is giving way to multimodal systems in automotive service — where a technician photographs a component and the AI cross-references service manuals, warranty records, and fault histories to diagnose instantly. OEMs deploying this are seeing dramatic improvements in first-call resolution and technician onboarding speed.

Trend 02

AI-Native Dealer & Customer Engagement

Voice-based service booking, proactive maintenance reminders, and 24/7 conversational AI for vehicle queries are becoming table stakes in customer-facing automotive experiences. OEMs that deploy these at scale reduce call centre costs while improving CSAT — simultaneously.

Trend 03

AI in SDLC — Custom Apps in Days, Not Months

Business users at automotive OEMs are beginning to describe workflows in natural language and receive working application MVPs — tested and validated — before handing to engineering for production. This is collapsing the time from business idea to deployed tool from months to days.

Real Outcomes

Work we've delivered for automotive OEMs.

Case Study

Leading Tractor & Automotive OEM — India

From Call Centre Scripts to AI-Powered Service & Aftermarket Intelligence

A major tractor and automotive OEM was managing thousands of daily service requests through call centres armed with static scripts. Field technicians had no structured way to access fault histories, warranty records, or repair guidelines across vehicle models. We deployed a multimodal troubleshooting AI grounded in service manuals and historical fault data, a voice-based service booking system, and 24/7 conversational AI for customer vehicle queries — all integrated with the existing DMS and ERP.

24/7

AI-Powered Customer Support

60%

Reduction in First-Call Escalations

3×

Faster Warranty Claim Processing

How We Engage

Three phases. No wasted months.

We start with use cases that deliver value in 90 days — then scale what works.

Phase 01

Use Case Discovery

We map your highest-pain areas across service, aftermarket, dealer operations, and workforce — and identify the 2–3 use cases where GenAI or cloud can deliver measurable results within 90 days.

Phase 02

Systems & Data Assessment

We understand your DMS, ERP, and service data landscape — where the knowledge lives, how structured it is, and how to ground AI in sources your teams and customers can trust.

Phase 03

Build, Deploy, Govern

We build and deploy agents and applications with governance built in — human-in-the-loop controls, audit trails, role-based access. Every AI output is explainable and every system is monitored through ROC.