Interview: Ashish Kauleshnam
Associate Director & Vertical Head - Automotive Design, Engineering & Manufacturing at Tata Elxsi
Ashish Kauleshnam, Tata Elxsi on How AI, Digital Engineering, Advancing Sustainable Mobility
August 05, 2026. By Abha Rustagi
Que: How is Tata Elxsi helping automotive companies embed sustainability across the lifecycle?
Ans: Sustainability in mobility is being shaped much earlier than production and the industry is moving from treating it as a compliance exercise to embedding it across design, engineering, manufacturing, supply chains, and lifecycle management.
At Tata Elxsi, we help OEMs make better decisions earlier in the development cycle through immersive 3D visualisation and digital prototyping, enabling stakeholders evaluate concepts in the virtual world, reduce physical iterations, and shorten decision cycles. This is complemented by AI based virtual validation, cloud-based testing and Hardware-in-the-Loop Simulation (HILS), allowing manufacturers to improve development efficiency. This helps reduce material, energy consumed and cost implications of large prototype builds. Beyond product development, supply-chain intelligence is increasingly central to sustainability.
Beyond product development, sustainability increasingly depends on supply-chain intelligence. Tata Elxsi’s ViTEL™ enables organisations identify alternative and bio-sustainable materials, evaluate sourcing dependencies, and improve compliance readiness. TETHER™ provides visibility into resource consumption, energy usage, and operational efficiency, and Mobius further enables battery lifecycle traceability, reuse, and circularity. Together, these capabilities help organisations embed sustainability across the value chain, from concept to circularity.
Que: How can digital twin technology help automotive manufacturers reduce energy consumption, improve resource efficiency, and lower emissions?
Ans: Digital twins are evolving as enterprise-wide sustainability enablers and not only engineering tools. By bringing together design intent, operational performance and lifecycle intelligence within a single decision framework, automotive manufacturers can create virtual replicas of products, manufacturing systems and operations to evaluate performance, energy consumption and resource allocation before committing to physical deployment. Thus, it reduces rework, optimises processes and minimises waste throughout development and production.
Their value increases further when the model stays connected to operational data. This creates a continuously updated digital representation that helps manufacturers identify inefficiencies, predict failures, optimise maintenance schedules, and improve asset utilisation. All of this has have a direct impact on energy consumption and emissions over the product lifecycle.
At Tata Elxsi, Lexi™ enables software and system-level digital twins, while immersive digital environments and analytics platforms such as TEdAX™ support predictive decision-making for both product and factory sustainability.
Que: Vehicle lightweighting remains one of the most effective ways to improve efficiency. What advancements are you seeing?
Ans: Lightweighting is no longer solely a material challenge, but is becoming an architecture, manufacturing and systems engineering challenge as the industry moves away from component-level optimisation to vehicle-level efficiency. One of the strongest trends is gigacasting and part consolidation, where fewer integrated structures replace multiple assemblies.
This reduces vehicle weight, simplifies manufacturing, reduces energy consumption and reduces production complexity.
Materials innovation is also accelerating. OEMs are achieving better strength-to-weight ratios, while still supporting sustainability objectives, with high-strength steels, aluminum alloys, recycled materials and multi-material structures.
At the same time, simulation-led development is enabling engineers to evaluate alternatives earlier and identify the most efficient structures with minimal material usage. The impact goes well beyond vehicle efficiency: lightweighting helps reduce embedded carbon, simplify supply chains, improve manufacturability, and lower lifecycle emissions, making it one of the most powerful levers for sustainable mobility.
Que: As vehicles become increasingly software-defined, how can software contribute directly to sustainability and emissions reduction?
Ans: Software is quietly becoming one of the most practical ways to make vehicles more sustainable. Unlike hardware, which often requires new materials, new parts, or changes on the production line, software can keep improving a vehicle long after it has left the factory.
That matters even more in Electric vehicles (EVs). A lot of efficiency gains come from how intelligently the system manages the battery, charging behavior, thermal conditions, regenerative breaking, and overall energy flow. Small improvements in these areas can translate into better range, lower energy consumption, and more efficient ownership experience across thousands or even millions of vehicles.
The benefits also go beyond day-to-day vehicle operation. Predictive maintenance can flag issues before they become serious, helping avoid unnecessary part replacements and extend product life. Over-the-air updates add another layer to this by improving features or performance without bringing the vehicle back for hardware changes. In simple terms, the vehicle can get better without consuming more resources each time.
As vehicles become more connected, software’s role becomes even larger. A vehicle is no longer operating in isolation; it is increasingly linked to charging networks, mobility platforms, fleet systems, and energy infrastructure. That opens opportunities to plan routes better, charge at the right time, use assets more efficiently, and reduce avoidable energy use. So, sustainability is no longer just something engineered into the vehicle at the start. It becomes something that can be managed, measured, and improved throughout the vehicle’s life.
Que: Sustainability is becoming a key business metric alongside performance and profitability. How can engineering teams better align product development decisions with broader ESG objectives?
Ans: For engineering teams, sustainability can no longer be treated as a separate checkpoint at the end of product development. It must sit alongside performance, quality, safety, and cost from the very beginning.
That means asking sustainability questions early: What materials are we choosing? Can they be recycled? How much energy will the product consume? What impact will manufacturing have? And what happens at the end of its life? When these questions are part of the design conversation, teams are much better placed to avoid difficult and expensive trade-offs later.
The same applies to the supply chain. As regulations become more stringent, engineering teams need a clearer view of where materials come from, what compliance risks exist, how dependent they are on certain suppliers, and what environmental impact those choices carry. Sustainability cannot remain only a reporting responsibility; it must influence engineering decisions on the ground.
This is where tools such as ViTEL™ can help by giving teams better insight into materials, alternate sourcing options, and compliance requirements. The larger goal is to make sustainability practical and visible in everyday product development, not something that is checked only after the major decisions have already been made.
Que: How important is collaboration between policymakers, OEMs, technology providers, and infrastructure developers in achieving net-zero mobility goals?
Ans: Net-zero mobility is fundamentally an ecosystem challenge because a large share of environmental impact sits outside the vehicle itself, in energy generation, supply chains, infrastructure, raw materials, and lifecycle management.
That is why collaboration matters so much. Policymakers can set the right standards and incentives, OEMs can bring sustainable technologies to market, technology partners can provide the engineering, digital, and software capabilities, and infrastructure developers can make sure charging, energy, and connectivity networks are ready to support real-world adoption.
This becomes even more important as the industry moves toward battery passports, initiatives such as Battery Aadhaar, better traceability, circular economy models, and more detailed carbon reporting. These efforts will only work if different manufacturers are working from shared standards and connected systems. Digital platforms and data-sharing frameworks will bring in universal standards, helping stakeholders understand what is working, where the gaps are, and how sustainability performance can be improved over time.
Ultimately, net-zero mobility won’t come from one breakthrough alone. It will depend on how well the entire ecosystem works together, makes decisions with a shared view, and keeps moving toward the same sustainability goals.
Que: If you could identify one engineering innovation or technology trend that has the potential to fundamentally transform green mobility over the next decade, what would it be?
Ans: If there is one transformative trend to highlight, it is that of AI-powered lifecycle intelligence: a digital thread that runs continuously through all stages of the mobility value chain from concept and design, to manufacturing and operations. In the past, these stages have functioned in silos. Now, the industry is taking steps toward a future where digital twins, engineering intelligence, software, analytics and manufacturing systems learn from each other continuously.
It starts with immersive digital twins and virtual product development, where engineers can assess design alternatives and sustainability impacts early on. That leads to AI-led Computer-Aided Engineering (CAE), cloud-based validation and HILS testing, which allow for faster and better data-driven engineering decisions with less reliance on physical prototypes.
The same intelligence then extends into manufacturing through platforms such as TETHER™, which provide visibility into energy, resource, and operational efficiency, and IRIS, which uses vision-based intelligence to improve quality and reduce waste. The real breakthrough is not any one technology, but a continuously learning, self-optimising mobility ecosystem where sustainability becomes the outcome of every engineering and operational decision.
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