EDITOR’S LETTER
Welcome to the February edition of Illuminar.
We begin this edition with a cover story on Why AI Automation Fails Quietly — and Why Process Discovery Is Paramount.
Most AI initiatives don’t fail dramatically. The pilots succeed. The demos impress. Yet months later, business impact feels limited and financial returns remain elusive. Early signals suggest that only a small fraction of enterprises are realizing meaningful value from agentic AI. This edition explores why rigorous process discovery, prioritization of business-critical use cases, and structured sequencing are essential to translating AI ambition into measurable enterprise outcomes.
We are also pleased to feature a guest article by Srikanth Appana, CTO, Bajaj Auto Credit Ltd., who shares why centralized AI management systems are becoming essential for modern enterprises. His perspective highlights the importance of governance, scalability, compliance, and continuous improvement as organizations move from isolated AI experiments to enterprise-wide adoption.
In addition, this edition features the first episode of Bottom Line on AI, where Srividya Kannan speaks with Sambasivan G, CFO, Tata Play, on building AI readiness over the long term — and how disciplined foundations in systems, data, and automation ultimately enable high-impact AI outcomes.
As enterprises accelerate their AI agendas, the differentiator will not be speed alone, but structural readiness and thoughtful design. We hope this edition sparks reflection on how automation is being approached within your organization.
As always, we value your feedback and thank you for being part of the Illuminar community.
Best regards,
Srividya Kannan
Editor
