LTM announced a multi-million-dollar agreement with a leading North American specialty engineering and construction company. The engagement consolidates infrastructure, cybersecurity, and application administration managed services from multiple providers to LTM, with an initial three-year term.

The partnership focuses on building and deploying an AI-led managed services operating model designed to deliver outcome-driven services. This model incorporates observability and automation to ensure resilient technology services for the client.

Strategic consolidation of IT operations

The engagement marks a significant step in the client's technology modernization journey. It consolidates critical IT operations under a unified governance framework designed to enhance operational efficiency, improve service quality, and reduce management complexity. Leveraging its deep domain expertise and AI-centric managed services capabilities, LTM will consolidate infrastructure, cybersecurity, and application services into a streamlined, outcome-driven operating model that accelerates modernization while strengthening operational resilience.

Executive commentary on AI-driven innovation

"As enterprises modernize their technology landscapes, they are increasingly seeking strategic partners that can combine operational excellence with AI-driven innovation," said Rajesh Sundaram, Chief Business Officer, Manufacturing and Retail CPG, LTM. "This engagement reflects our ability to help clients unlock greater value from their technology investments, enhance business agility, and create a foundation for sustained growth through AI-enabled operations."

About LTM

LTM is a Larsen & Toubro Group company and an AI-centric global technology services provider. The company brings human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Its capabilities span integrated operations, transformation, and Business AI. With over 87,000 employees across 40 countries, LTM owns outcomes for clients, helping them outperform the market.

LTM has expanded its collaboration with Google Cloud to accelerate enterprise adoption of Gemini Enterprise. The move aims to help organizations build, deploy, and scale AI-powered solutions by integrating advanced AI capabilities with LTM's industry expertise.

Partnership overview

The collaboration positions LTM as a key enabler for enterprises seeking to integrate Google Cloud's Gemini capabilities into their business operations. By combining Gemini Enterprise features with LTM's engineering talent and global delivery network, the partnership targets organizations looking to move beyond isolated AI pilots to operationalize intelligent workflows at scale.

Strategic significance

By aligning with Google Cloud, LTM strengthens its portfolio in cloud and artificial intelligence services. The tie-up reflects a broader industry move toward enterprise AI adoption, with technology service providers partnering with hyperscalers to deliver scalable AI solutions to corporate clients. Krishnan Iyer, Chief Growth Officer at LTM, stated that the collaboration combines advanced AI capabilities with specialized talent to help clients accelerate transformation and realize business value faster.

Key pillars of collaboration

The expanded partnership focuses on three core areas designed to support enterprise-wide AI adoption:

• Gemini Enterprise Center of Excellence (CoE): A dedicated unit providing AI, cloud, and industry expertise to enable enterprise-scale deployments of Gemini Enterprise.
• Specialized Talent and Delivery: Deployment of Forward Deployed Engineers and specialists in Google's Gemini AI models, supported by advanced training and certification programs to move high-value AI use cases from concept to production.
• Industry-Focused AI Solutions: Tailored AI-powered solutions for key sectors including BFSI, Manufacturing, Retail & CPG, Media & Entertainment, and Energy & Utilities. These will be showcased at an upcoming state-of-the-art Gemini Enterprise Customer Experience Center.