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To enable a leading Indian automotive manufacturer to accelerate generative AI adoption, streamline workflows, and empower employees across departments by building a secure, scalable, and user-friendly AI platform.
Mahindra and Mahindra Limited is a 20 billion dollar Indian multinational automotive company headquartered in Mumbai, with more than 150 consolidated companies operating across over 100 countries. Recognized for innovation and industrial leadership, the organization sought to leverage generative AI to enhance employee productivity, creativity, and operational efficiency across its workforce of more than 150,000 employees.
As interest in AI adoption grew internally, Mahindra and Mahindra required a centralized, secure platform that could democratize access to AI models while maintaining enterprise-grade governance, compliance, and performance.
BootLabs partnered with Mahindra and Mahindra as a strategic AI consulting and platform engineering partner to design and implement a secure, scalable, and resilient generative AI platform.
The engagement focused on enabling enterprise-wide access to pre-trained AI models through a centralized model marketplace, delivering reusable AI applications for tasks such as text generation, enterprise search, and call summarization, enforcing strict data security and privacy controls, and creating an intuitive user experience to drive adoption across diverse business functions.
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Managing and distributing multiple AI models across more than 150,000 employees while maintaining performance, reliability, and operational efficiency.
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Protecting sensitive enterprise data and ensuring that only authorized users could access AI models and applications.
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Designing a platform that could be effectively used by employees with varying technical backgrounds and different levels of familiarity with AI tools.
Implemented a centralized model marketplace providing access to pre-trained AI models and reusable applications, enabling employees to leverage AI without deep technical expertise.
Built the platform on Google Kubernetes Engine and Cloud Storage to ensure secure, reliable scalability for thousands of concurrent users.
Applied strict identity and access management controls to maintain data privacy, governance, and regulatory compliance.
Designed a simple, user-friendly interface to lower adoption barriers and encourage AI usage across departments.
Enabled more than 150,000 employees to access and use generative AI models across business functions.
Pre-trained AI models automated routine tasks and improved productivity at scale.
Successfully delivered a secure, scalable generative AI platform built on Google Cloud and Vertex AI.
Democratized AI usage across the organization, fostering an innovation-first mindset and experimentation culture.
Employees spent less time on repetitive tasks and more time on strategic and creative initiatives.
A centralized and secure AI platform reduced workflow friction and accelerated execution across teams.
The platform supports new AI models and evolving enterprise use cases without architectural rework.
Broad employee participation in AI-driven initiatives encouraged cross-functional creativity and collaboration.
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