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AI is reshaping engineering, research, and development (ER&D) with advancements in generative AI, agentic AI, and automation. In a recent discussion, host Leena Kanickaraj and co-host Rajkumar Paira spoke with Rajaneesh, CTO of Cyient, about how AI-driven solutions are revolutionizing design, stress analysis, regulatory compliance, and manufacturing processes. By integrating LLMs, SLMs, and AI-powered workflows, companies are improving efficiency in software development, plant automation, and technical documentation while reducing human intervention.
Rajaneesh emphasized that industries like aerospace, healthcare, and manufacturing are leveraging AI to streamline aftermarket services, diagnostics, and operational insights. Cyient’s Plant Advisor solution, for instance, uses multimodal AI to optimize supply chain management and predictive maintenance, delivering significant cost savings and efficiency gains. However, challenges such as legacy system integration, AI model costs, and accuracy concerns remain key hurdles.
As AI adoption accelerates, businesses must prioritize problem-solving over technology hype. Rather than forcing AI into workflows, companies should focus on enhancing engineering processes, ensuring compliance, and improving long-term ROI. With agentic AI bridging automation gaps and augmenting human expertise, the future of ER&D is set to be more efficient, scalable, and innovation-driven.
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