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In a pioneering move for India’s facilities management (FM) sector, SILA and Xempla have announced a strategic initiative to trial and validate the country’s first AI-led FM delivery model. The collaboration brings together SILA’s operational depth and national reach with Xempla’s intelligent platform for autonomous maintenance, predictive operations, and decision support.
The initiative aims to demonstrate how artificial intelligence can drive measurable improvements across both hard and soft services—reducing downtime, optimizing manpower, and enhancing service reliability. From engineering systems and maintenance to housekeeping and security, the model will be tested across diverse facility types including industrial, commercial, and multi-tenant buildings.
“The FM industry in India is at a critical inflection point,” said Raghav Kapur, Executive Director – Services, SILA. “Our partnership with Xempla is about proving that AI-first delivery isn’t just aspirational—it’s operational. Smarter resource allocation and predictive operations will help us deliver higher efficiency and material cost savings.”
Unlike global off-the-shelf systems, Xempla’s AI platform is built for India’s operating realities—where data inputs range from advanced Building Management Systems to handwritten logbooks. This flexibility allows the model to adapt across environments and scale with minimal disruption.
“We’ve built our platform to empower on-ground teams, not replace them,” said Umesh Bhutoria, Founder & CEO, Xempla. “Partnering with SILA allows us to validate the model at scale and show how autonomy and predictive intelligence can reshape FM outcomes across India.”
The initiative is positioned as a blueprint for scalable, data-led FM operations—one that can be integrated across SILA’s portfolio and offered to clients seeking performance, reliability, and sustainability gains. If successful, it could redefine how India’s FM industry approaches efficiency, accountability, and long-term value creation.
