Narender Reddy Karka

Designing AI-Ready Enterprise Platforms: Building Governance, Auditability, and Regulatory Compliance into Enterprise Architecture

Abstract:

As artificial intelligence becomes integral to mission-critical enterprise systems, organizations in highly regulated sectors such as financial services, healthcare, and insurance face a fundamental challenge: enabling AI innovation while satisfying increasingly stringent governance, transparency, and compliance requirements. This talk introduces a practical architectural framework for designing AI-ready enterprise platforms where governance is embedded into the platform itself rather than retrofitted after deployment.

The presentation explores a three-pillar architecture consisting of decision abstraction, platform-layer governance, and explicit data-flow traceability, demonstrating how these principles enable scalable AI adoption while supporting operational resilience and regulatory accountability. Attendees will learn how centralized governance mechanisms including versioned model registries, policy engines, audit trails, role-based access control (RBAC), and automated metadata capture can provide explainability and traceability across the AI lifecycle.

Drawing from a production-style credit decisioning architecture aligned with GDPR Articles 13, 22, and 83, the session illustrates how organizations can operationalize regulatory requirements through architectural design rather than procedural controls. Practical implementation patterns include deterministic fallback mechanisms triggered when inference latency exceeds 500 milliseconds across 10 consecutive requests, or when model confidence falls below 0.70 for more than 15% of recent predictions, ensuring uninterrupted business continuity while maintaining governance standards. The discussion also highlights regulatory risk considerations, including GDPR Article 83, which permits administrative fines of up to €20 million or 4% of global annual turnover for qualifying violations.

Rather than focusing solely on AI models, this session demonstrates why AI readiness is fundamentally an architectural capability. Attendees will gain actionable design patterns, governance frameworks, and organizational strategies for building enterprise platforms that enable responsible AI deployment, simplify regulatory adaptation, reduce costly architectural retrofitting, and support long-term innovation with accountability built into the foundation.

Profile:

Narender Reddy Karka is a Lead Software Engineer with over 15 years of experience designing, developing, and modernizing enterprise-scale web applications across highly regulated industries. He specializes in full-stack engineering with expertise in Angular, React, Node.js, Java Spring Boot, cloud-native architectures, and enterprise application modernization.

Currently, Narender serves as a Lead Software Engineer at Prudential Insurance Company of America, where he leads the design and development of scalable, high-performance applications, architects end-to-end enterprise solutions, and mentors engineering teams on software architecture and engineering best practices. His expertise spans RESTful and GraphQL API development, CI/CD automation using Jenkins, containerized deployments with Docker, and cloud deployments on AWS ECS. He has successfully led modernization initiatives that migrated legacy platforms to modern technology stacks while improving application performance and maintainability.

Prior to his current role, Narender served as a Senior Specialist at Prudential and held engineering positions with American Express (through Cognizant), Solugenix India, and Techcil Technology, delivering enterprise solutions in financial services, analytics, and web technologies.

He holds a Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, Hyderabad. His current research focuses on AI-ready enterprise architecture, platform governance, regulatory-compliant AI systems, and resilient software architectures for regulated industries.