3rd International Conference on Business Intelligence and Data Analytics (BIDA 2026)

Organized by RV Institute of Management (RVIM), Bangalore, India

 Technically Sponsored by Soft Computing Research Society

April 11-12, 2026The after-conference proceeding of the BIDA 2026 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

The after-conference proceeding of the BIDA 2026 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

Sitaram Srivatsavai

From CRM to Cognitive Platform: Evolving Legacy Systems into AI Agentic Architectures Using the Strangler Fig Pattern

Abstract:

Enterprise CRM systems in regulated industries have long operated as passive systems of record — capturing interactions but rarely acting on them autonomously. While microservices architectures and governed data pipelines have proven effective at decomposing monolithic CRM platforms (achieving 85% latency reduction and 400% throughput gains in validated experiments), these modernized systems still fundamentally depend on human-initiated workflows. The next evolutionary step is clear: transforming these insight platforms into AI Agentic architectures where autonomous agents reason over streaming data, execute multi-step decisions within compliance guardrails, and continuously learn from operational feedback — all without disrupting the production systems that regulated organizations depend on daily.This keynote presents a practical, incremental approach to this transformation, extending the proven Strangler Fig migration pattern into what we term the "Agentic Strangler" — a phased strategy where AI agents are introduced alongside existing microservices, initially shadowing human decisions, then co-piloting, and ultimately operating autonomously within well-defined regulatory boundaries. We introduce a reference architecture layering a Retrieval-Augmented Generation (RAG) knowledge fabric, a multi-agent orchestration mesh, and a compliance-aware reasoning engine on top of event-driven microservices and Data Lakehouse pipelines. Through concrete use cases spanning financial services, healthcare, and life sciences — including autonomous regulatory filing, predictive customer intervention, and real-time adverse event detection — we demonstrate how organizations can achieve agentic capabilities without the operational risk of wholesale platform replacement. The architecture embeds "Compliance as Code" principles directly into agent decision loops, ensuring that autonomous actions remain auditable, explainable, and reversible. Attendees will leave with an actionable blueprint for evolving their modernized CRM platforms into self-governing cognitive systems that satisfy both the speed demands of digital competition and the control requirements of regulatory oversight.

Profile:

Sitaram Srivatsavai is a Thought leader in CRM Engineering with over 18 years of experience leading global teams in the design and delivery of large-scale enterprise software. His expertise spans CRM, mobile application engineering, and modernization of automation frameworks, with a particular focus on high-reliability systems and regulatory compliance in domains such as healthcare and finance. He is an active contributor to the technical community, serving as a peer reviewer and researcher in software architecture and data pipelines.