3rd World Congress on Smart Computing
(WCSC2026)

Organized by  

Soft Computing Research Society

in Association with 

International Auditors for Digital and Data Management Association, Bangkok Thailand

Venue

Novotel Bangkok on Siam Square, Bangkok, Thailand

January 10-11, 2026 

The after-conference proceeding of the WCSC 2026 will be published in Springer Book Series, ‘Lecture Notes in Networks and Systems’.

Phanidhar Chilakapati

Operationalizing Generative AI in the Enterprise, Moving Beyond Chatbots to Revenue, Governance, and Automation at Scale

Abstract:

Most enterprises initiated their Generative AI journey through chatbot interfaces focused on information access, search, and summarization. While these implementations demonstrated technical capability, they often failed to deliver measurable business impact. This presentation examines the critical transition from experimental GenAI to operationalized enterprise systems that drive revenue, reduce operational costs, and enable automation at scale. The presentation explores how enterprises embed GenAI into core business workflows including customer support, sales operations, finance, and operational systems, rather than treating it as standalone tooling. The focus shifts from demonstrating capability to achieving concrete outcomes: reduced cycle times, revenue recovery, lower cost-to-serve, and improved consistency. Key architectural principles are examined, including layered separation of concerns, orchestration frameworks, and integration with existing enterprise systems (CRM, ERP, service desks, data platforms) to avoid shadow IT proliferation. Revenue intelligence applications are analyzed, demonstrating how GenAI identifies revenue leakage through contract analysis, billing reconciliation, and dispute resolution by connecting fragmented data sources. Automation patterns are presented, emphasizing adaptive automation with human-in-the-loop design, confidence scoring, and graceful fallback mechanisms for safety in regulated environments. Critical implementation challenges are addressed: governance frameworks for responsible AI deployment, evaluation methodologies beyond model benchmarks, workforce transformation strategies, and architectural patterns (RAG, knowledge graphs, governed metadata) essential for scaling GenAI safely and consistently. The presentation concludes with forward-looking perspectives on GenAI as an integrated intelligence layer within enterprise platforms, highlighting that organizations investing early in governance and reusable patterns will achieve durable competitive advantage.

Profile:

Phanidhar Chilakapati is a senior technology executive with nearly 17 years of experience in Enterprise Data Architecture, Analytics, and AI-driven digital transformation. He currently serves as Senior Director of Global Data Architecture, Analytics, and Digital Transformation at Industrial Scientific, where he leads global initiatives across data platforms, Generative AI, automation, and enterprise modernization.
At Industrial Scientific, Phani has delivered large-scale, measurable business impact. His GenAI- and RPA-driven technology roadmap generated approximately $75 million in incremental bookings and enabled more than 30,000 automation hours. He architected a modern Data Mesh platform that increased enterprise analytics adoption by 300% and supported advanced use cases in customer sentiment analysis, upsell intelligence, and product analytics.
In addition, he has authored peer-reviewed research presented at leading IEEE and Springer forums, including ICDT, IC3SE and the DoSCI, where his work received the Best Paper Award. In addition, he serves as a peer reviewer, session chair, and invited speaker for IEEE conferences, and as a judge for platforms such as the LIVE AI Hackathon, Make Ohio, Hack Ohio, and the Claro Awards. His memberships include Fellow of the Institute of Analytics, Advisory Board member at leading universities and member of the IA Forum Executive Advisory Board.