SILA and Xempla have joined forces to pilot and validate India’s first AI-first Facilities Management (FM) delivery model. The initiative aims to demonstrate how artificial intelligence can enhance both hard and soft services across India’s built environment. The collaboration brings together SILA’s operational expertise and national reach with Xempla’s AI platform for autonomous maintenance, decision support, and predictive operations. The partners intend to validate the model’s scalability and value across India’s diverse FM landscape. Commenting on the partnership, Raghav Kapur, Executive Director – Services, SILA, said: “The FM industry in India is at a critical inflection point — one where technology and data can unlock real performance gains. Our partnership with Xempla is a significant step toward proving that AI-first delivery is not just the future of FM, but an operational reality that brings measurable value to our clients. By enabling smarter resource allocation and predictive operations, this model will help us drive higher efficiency and material cost savings across facilities.” The initiative seeks to reduce reactive maintenance through autonomous fault detection, optimise manpower planning, enable data-driven procurement, and promote outcome-based management with measurable energy and cost savings. Umesh Bhutoria, Founder & CEO, Xempla, added: “We’ve built our AI platform to accelerate decision-making and empower on-ground teams, not replace them. Working with an industry leader like SILA will help validate the model at scale and demonstrate how autonomy and predictive operations can reshape FM outcomes across India.” The AI-first model will span the full spectrum of FM operations, from engineering and maintenance to housekeeping, security, and other services. Unlike global off-the-shelf systems, Xempla’s AI platform is tailored to India’s unique operating conditions, accommodating diverse data sources from advanced Building Management Systems to manual records. Upon validation, the model will serve as a scalable framework for SILA’s portfolio and clients seeking measurable performance, reliability, and sustainability gains — establishing a new benchmark for data-driven FM operations in India.