Lokesh Nigam stands at the forefront of transforming human capital through AI-powered intelligence and behavior science. As the CEO of Konverz AI, he is redefining how organizations make talent decisions at scale—building technology that blends psycholinguistics, behavioral data, and contextual intelligence to drive deeply personalized and strategic workforce solutions.
With over two decades of experience in consulting and enterprise transformation, Lokesh brings a rare convergence of deep HR expertise, organization design acumen, and AI strategy, having worked across industries such as Oil & Gas, BFSI, Pharmaceuticals, Manufacturing, IT, and Conglomerates. Through Konverz AI, he is leading the charge in Human+AI collaboration, enabling CHROs and CXOs to solve complex people challenges with ethical, explainable, and scalable intelligence.
- Embedding AI in enterprise learning, coaching, and assessment journeys
- Enabling zero-bias hiring and promotion decisions through deep behavior intelligence
- Creating augmented leadership pipelines using real-time conversation analytics
- Scaling personalized employee experiences without increasing operational complexity
Leadership & Consulting Track Record
Before founding Konverz AI, Lokesh co-founded Kognoz Consulting, a boutique firm known for applying behavioral science to organization transformation. He has consulted for top global brands including Petronas, Daimler India, Mahindra, HeroMotoCorp, Genpact, Citibank, and American Express. His work spans strategic workforce planning, digital HR transformation, leadership capability building, and large-scale change initiatives. He is also trained in Requisite Organization and Appreciative Inquiry, which he integrates into AI solutions to keep the human core alive in digital systems.
Thought Leadership
A visiting faculty at XLRI Jamshedpur, Lokesh teaches leadership and is currently pursuing an Executive Fellowship in Organizational Behavior, focusing on organizational mindfulness. He is a known voice in the areas of team science, complex adaptive systems, and future-of-work design, with a deep commitment to ethical AI adoption in business.
