The Indian Army on Wednesday outlined an ambitious roadmap to integrate artificial intelligence into its operational backbone, focusing on smarter engineering support, predictive maintenance and data driven logistics to enhance battlefield effectiveness.

At a specialised seminar titled Engineering Support for the Indian Army: Smartising the Kill Chain during the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, senior military leaders, industry experts and academic researchers examined how AI can improve equipment readiness and mission outcomes across combat operations.

Turning Data Into Combat Advantage

Delivering the keynote address, Director General of Electronics and Mechanical Engineers Lt Gen Rajiv Kumar Sahni highlighted how advanced analytics can transform vast streams of sensor data into actionable intelligence.

He said AI tools could help predict emerging threats, upgrade legacy weapon systems into intelligent platforms and improve operational precision. “Industry has a major opportunity to leverage AI to convert large volumes of sensor data into actionable insights and predict emerging threats,” he noted.

Lt Gen Sahni also emphasised the importance of predictive interventions in logistics and engineering support to maintain operational momentum. He pointed to the growing role of AI in unmanned aerial systems, counter drone technologies and robotic platforms, areas expected to define future warfare.

Focus On Predictive Maintenance And Smart Platforms

Discussions at the seminar revolved around four major themes: smartisation of legacy platforms using sensors and analytics, AI enabled predictive maintenance to anticipate equipment failures, adoption of advanced technologies such as digital twins and anomaly detection, and stronger collaboration between industry and academia.

Experts from Tata Elxsi, Deloitte India and the Indian Institute of Science presented frameworks for scalable AI architectures, reliability modelling and mission critical applications.

Participants noted that embedding intelligence into existing systems could significantly improve reliability without requiring prohibitively high capital investment. Real time diagnostics, predictive alerts and condition monitoring could reduce downtime and accelerate repair cycles, ensuring sustained operational tempo.

From Reactive Repairs To Predictive Logistics

The seminar also examined how AI can strengthen the entire military kill chain, from detection and deployment to recovery and redeployment.

Officials discussed integrating equipment health dashboards into command decision systems to provide real time visibility of readiness across formations. Such tools would enable commanders to move from reactive maintenance models to predictive engineering support, including advance positioning of technical resources and optimised provisioning of spare parts.

AI driven demand forecasting and real time tracking of assets were identified as key enablers for more responsive logistics, greater transparency and faster turnaround of repairable equipment.

The event concluded with a reaffirmation of the Army’s commitment to technological modernisation and indigenous innovation. Participants stressed that structured collaboration between defence forces, industry and academia will be crucial to developing secure, scalable AI solutions aligned with national priorities and future battlefield requirements.

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