Enterprise Architecture 2026–2028: AI-Native, Agentic & Governed
AI is moving from pilots to production faster than most enterprises are prepared for. Over the next 3–5 years, architectures must evolve to support agentic workflows, governed AI, secure inference, and cost-efficient operations.
This session gives you a practical blueprint for building an AI-native enterprise architecture—powered by MCP/LangGraph orchestration, GraphRAG retrieval, ISO/IEC 42001 governance, NIST AI RMF safety controls, confidential computing, and post-quantum cryptography.
You’ll leave with a 90-day activation plan and a 3-year roadmap for designing safe, trusted, and scalable AI systems.
KEY TAKEAWAYS
•Clear blueprint for agentic AI architecture
•How to implement governance-as-code (ISO 42001 + NIST AI RMF)
•Patterns for secure & confidential AI (PQC + enclaves)
•FinOps + GreenOps practices for cost & carbon visibility
•AgentOps methods for observability and reliability
•A 90-day plan to start safely
•A 3-year roadmap to modernize EA
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AGENDA
1.The Shift: From AI pilots to agentic platforms
2.Failure Modes: What breaks in real enterprises
3.Blueprint: MCP, LangGraph, GraphRAG, tool safety
4.Governance & Security: ISO 42001, NIST, PQC, confidential compute
5.FinOps & GreenOps: Cost + carbon per inference
6.AgentOps: Observability & drift detection
7.90-Day Activation Plan
8.3-Year EA Roadmap
9.Closing: Architecting the Trusted AI Enterprise
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1