Kavita Kulwant doesn’t just talk about her approach—she implements it. After studying computer science and later earning an MBA in human resources, she began her career with a strong grasp of technology alongside a deep curiosity about human behavior. Two decades later, those two fields have merged in her professional focus.
AI agents designed for HR
At Tata Consultancy Services (TCS), where she leads total rewards initiatives, Kulwant has developed two AI-driven tools designed to handle repetitive HR tasks. Her goal isn’t just to speed up workflows but to challenge why HR experts should waste time on duties machines can handle when their expertise is better spent elsewhere.
While administrative tasks are unavoidable, they often drain time that could be spent tackling challenges, supporting staff, or influencing business strategy. For Kulwant, the true benefit of automation lies in what it allows HR professionals to do differently rather than just doing existing tasks more efficiently.
She argues that AI’s greatest strength isn’t just efficiency—it’s the opportunity it creates for people to rethink their roles, support innovation, and deliver greater impact.
While time saved, process efficiency and output quality are important measures, she also wants to examine whether automation creates greater capacity for strategic HR work. It is an important test because efficiency gains do not automatically translate into more meaningful work. Time released from one activity can easily be absorbed by another unless organisations deliberately rethink how people use it.
Her engineering training has sharpened her focus on structured problem-solving and measurable results, but her HR experience has taught her that numbers alone can’t fully explain employee behavior. She tracks metrics like engagement, retention, internal mobility, leadership development, and productivity; but insists they must be paired with direct employee conversations and qualitative insights.
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While technology can uncover trends and process data, understanding those patterns requires context, an awareness of relationships, and an acknowledgment of data’s limitations. For Kulwant, improved data should enhance, not replace, human judgment.
Trust, she believes, hinges on employees knowing technology is used responsibly while human oversight remains in place.
Technology can eliminate unnecessary workloads, but companies must decide how to use the extra capacity it creates. If automation only raises expectations without easing workloads or improving employee experience, its benefits may never fully materialize. This tension between efficiency and well-being is central to her vision for modern HR.
Human Focus Amid Change and Technology
Employees experience organizational changes through altered expectations and unfamiliar processes. Kulwant believes HR must understand both business requirements and the human consequences of these shifts. She argues that people are more receptive to change when they understand its purpose and feel included.
Kulwant wants to build an HR function where AI improves efficiency and employees contribute ideas, with human judgement central to decisions.
