LTM launches AI 1000, a strategic workforce transformation anchored by a Center of Excellence to develop over 1,000 AI-certified engineers, including Forward Deployed Engineers (FDEs), to help clients adopt, deploy, and scale AI solutions.

Success will be measured by real business outcomes, not just training numbers or certifications.

The program follows a four-stage model—Identify, Enable, Deploy, and Govern—starting with an AI Readiness Index to identify high-potential engineers, then curated learning journeys, validation through hackathons and real-world use cases, and deployment into client AI programs.

A governance framework will monitor performance, capture insights, and feed learnings back into the system, enabled by an integrated platform ecosystem for transparent, fast, and adaptable delivery.

This governance framework supports continuous capability building and measurable client impact through an integrated platform that ensures transparency and adaptability.

The governance system emphasizes continuous learning, performance tracking, and insight capture to drive ongoing capability development within an integrated platform.

The Center of Excellence operates within an integrated platform ecosystem that prioritizes transparency, speed, and adaptability to empower FDEs to deliver client impact.

The CoE focuses on transparency, speed, and adaptability to help FDEs produce measurable business outcomes for clients.

LTM stock rose modestly to 3,831.10 rupees, up 0.16% as of 11:36 IST on June 12, 2026, amid ongoing AI services expansion.

FDEs bridge AI models and business outcomes by working with clients to produce production-ready solutions and measurable ROI.

The announcement comes amid rising enterprise demand for generative and agentic AI solutions and mirrors moves by peers in the Indian IT services sector, including partnerships and expanded training initiatives.

The governance framework will track performance, operational delivery, and measurable business impact to ensure outcomes extend beyond training metrics.