Building a sustainable backbone for India's digital workforce

When data sweats less and chips sprint smarter, even silence becomes scalable. Precision beats power, and green becomes the new speed. This isn’t just tech—it’s choreography in kilowatts

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We're now deep into the era where artificial intelligence (AI) isn't just managing backend ops—it's on the frontlines, interacting with customers, resolving complaints, personalizing services, and even making judgment calls. As exciting as that sounds, it comes with a double-edged sword. One mistake—a misread emotion, an opaque decision, a biased recommendation— and customer trust erodes faster than a dropped call in the middle of a Zoom pitch.

For most companies, AI is a shiny new engine powering innovation. But for TeamLease Digital, it's more than just horsepower-it's part of a broader strategy to run leaner, greener, and more responsibly.

At the helm of this mission is Neeti Sharma, CEO of TeamLease Digital, who shares how the company is balancing smart hiring technology with environmental responsibility. In this exclusive interview, Sharma unpacks how a staffing firm is not only embracing Al but also questioning the energy it consumes—and finding clever ways to reduce it without losing performance.

AI can scale smartly-but only if you choose your battles

"As a staffing company, we've integrated Al in all our hiring, selection, and data processes," Sharma begins. But it's not about going all-in blindly. TeamLease Digital takes a selective approach, implementing AI solutions only where the ROI is highest, thus minimizing unnecessary Al workloads.

This careful targeting reduces computational bloat—a quiet but growing concern for any company leaning heavily on machine learning.

The infrastructure behind it? A hybrid setup. Critical systems are hosted on cloud platforms, while less sensitive workloads sit with private data center partners. Both arms have robust sustainability practices in place.