Mr. Singaiah Chintalapudi

Architecting Self-Serve AI: Fullstack Workflows for RAG and LLMs

Abstract:

As enterprises adopt AI-driven interfaces, a persistent challenge lies in unifying content management, retrieval pipelines, and personalization into a cohesive architecture. This study proposes a fullstack enterprise framework that integrates Content Management Systems (CMS), Retrieval-Augmented Generation (RAG) pipelines, and AI orchestration layers into a single, scalable stack. The framework supports dynamic personalization and provides low-code configuration capabilities, enabling non-developers to manage content flows independently and reducing reliance on technical teams.

The approach demonstrated strong performance across benchmarks, with significant gains in accuracy, reduced hallucination rates, and notable improvements in task success driven by personalization. Equally important, a majority of business users successfully configured content flows autonomously, achieving high usability ratings and validating the framework’s accessibility.

These findings highlight the effectiveness of combining RAG with content, orchestration, and governance layers to deliver reliable, explainable, and business-ready AI experiences—empowering organizations to scale intelligence seamlessly across enterprise environments.

Profile:

Singaiah Chintalapudi is a distinguished AI Architect and Digital Experience Leader with over 15 years of expertise driving large-scale digital transformation for Fortune 500 enterprises. He specializes in enterprise architecture, AI-driven automation, and cloud-native platforms, with a proven record of designing and deploying intelligent ecosystems that accelerate business performance, security, and user engagement.
Singaiah has architected AI-powered productivity studios, integrating copilots, conversational agents, and content intelligence into enterprise workflows enabling thousands of employees to work smarter and more efficiently. His work seamlessly bridges front-end experiences, backend intelligence, and cloud infrastructure, modernizing legacy systems into scalable, secure, and future-ready platforms.
Recognized with honors such as the Adobe MVP Award, Smart Everything WebAward, and Adobe AEM Community Award, he continues to set benchmarks in digital innovation. A thought leader and mentor, he regularly shares insights at international conferences and community forums. With advanced certifications and a Ph.D. in Environmental Science and Engineering, Singaiah brings both technical depth and visionary leadership to the evolving world of AI and digital transformation.