Bhumika Chauhan
In boardrooms and operations floors alike, one truth has become clear — the businesses that will thrive tomorrow are the ones embedding intelligence into their DNA today. For Anupam Anand, Vice President and AI & Automation Business Leader, that truth is not just a belief; it’s the guiding force behind every decision, strategy, and transformation he drives. With a career spanning the most demanding industries — banking and financial services (BFSI), healthcare, and supply chain — Anupam has earned a reputation for combining deep domain expertise with the vision and discipline needed to harness artificial intelligence as a genuine business accelerator. His mission is to turn traditional, process-heavy business units into AI-augmented, automation-first powerhouses that enhance human decision-making, reduce operational friction, and unlock scalable innovation. “AI is no longer a future investment,” he says. “It’s today’s competitive advantage. The organizations that move now will shape the market, not just follow it.” Anupam’s portfolio of achievements reflects both ambition and execution. In healthcare, he deployed an AI-driven claims automation system that slashed manual effort by 55% and accelerated claim settlement times by 30%. This wasn’t just operational streamlining — it translated into fewer disputes, better compliance, and improved satisfaction for patients and providers alike. In BFSI, he introduced a predictive analytics dashboard that boosted loan recovery rates by 18% for a major NBFC, thanks to early-warning indicators powered by AI models. Simultaneously, he led the creation of an AI-powered KYC/AML solution that cut onboarding time by 70% without sacrificing accuracy in fraud detection. The supply chain sector also benefitted from his innovation. By building a digital control tower integrating AI models with real-time logistics and weather data, Anupam enabled businesses to anticipate delays before they happened, reducing downstream disruption by 40%. Each success story demonstrates his ability to align AI and automation with measurable, high-value business outcomes. Yet, technology adoption is never purely technical — it’s deeply human. Anupam understands that introducing AI into traditional sectors often means addressing skepticism, operational inertia, and even fear. One such challenge arose during the rollout of a robotic process automation (RPA) platform for a leading supply chain company. Initial pushback came from both IT and operations teams. Rather than pushing harder, Anupam pivoted to a co-creation model. He engaged end-users early, showcased quick wins through pilot bots, and reframed automation as a tool for job augmentation rather than replacement. The result was a cultural shift — employees became active champions of the very automation they once resisted, ensuring the platform’s long-term success. While many leaders chase every new technology trend, Anupam applies a disciplined three-pillar evaluation framework: Strategic Fit, Scalability, and ROI Potential. This ensures that innovations like generative AI, federated analytics, or agentic automation are only pursued when they solve real, high-value pain points. His team’s “discovery sprints” — using low-code/no-code or open-source tools — allow for rapid prototyping, early stakeholder alignment, and risk mitigation. This method has kept his projects both cutting-edge and commercially viable, a balance few leaders manage to strike. For Anupam, technology adoption is as much about mindset as machinery. He has spearheaded initiatives to create AI sandboxes, encourage experimentation with tools like ChatGPT, n8n, and LangChain, and incentivize small-scale innovations tied to KPIs. Crucially, he has nurtured a network of “AI champions” across departments — individuals trained not just to use AI tools, but to identify opportunities for automation and process intelligence. This democratization of innovation ensures that transformation isn’t confined to IT, but embedded in the organization’s everyday thinking. One of his most notable contributions to the healthcare industry has been the integration of explainable AI (XAI) into claims adjudication. The system not only delivers high-accuracy outcomes but also provides transparent reasoning behind each decision — a feature that has become essential for compliance and audits. This innovation reduced claim rejection escalations by 45% and strengthened the client’s regulatory standing. Similarly, in BFSI, he led the development of a centralized fraud intelligence system capable of detecting anomalies in near real-time. Within the first quarter of deployment, fraud incidents dropped by 35%, and the system is now being scaled across additional product lines. Colleagues and executives alike recognize Anupam for his ability to bring clarity amid complexity. Whether mentoring teams through technological disruptions or delivering AI-led transformations with measurable ROI, his leadership has consistently extended beyond formal mandates. As industries grapple with compliance challenges, shifting market dynamics, and accelerating technological change, Anupam Anand stands as a leader ready not just to respond to the future — but to define it. His track record proves that with the right blend of vision, execution, and cultural stewardship, AI can become a force for resilience, growth, and innovation. In an age where organizations are deciding whether to cautiously experiment with AI or boldly integrate it, Anupam’s message is clear: the time for hesitation is over. The future is already here — and it’s intelligent.
