Enterprise Architecture 4.0: The AI-Driven Future Preview
AI, agentic workflows, digital twins, edge intelligence, spatial computing, and blockchain trust are converging to reshape how enterprises operate.
This session introduces Enterprise Architecture 4.0—a practical, future-ready approach where architectures become intelligent, adaptive, and continuously learning.
You’ll explore the EA 4.0 Tech Radar, understand the six major waves of disruption, and learn the ARCHAI Blueprint—a structured framework for designing AI-native, agent-ready, and trust-centered systems.
Leave with a clear set of patterns and a 12-month roadmap for preparing your enterprise for the next era of intelligent operations.
⸻
KEY TAKEAWAYS
•Understand the EA 4.0 shift toward intelligent, agent-driven architecture
•Learn the top technology trends: AI, agents, edge, twins, spatial, blockchain, and machine customers
•See how the ARCHAI Blueprint structures AI-first design and governance
•Get practical patterns for agent safety, digital twins, trust, and ecosystem readiness
•Leave with a concise 12-month roadmap for implementing EA 4.0
⸻
AGENDA
– The Speed of Change
Why traditional enterprise architecture cannot support AI-native, agent-driven systems.
– The EA 4.0 Tech Radar
A 3–5 year outlook across:
•Agentic AI
•Edge intelligence
•Digital twins
•Spatial computing
•Trusted automation (blockchain)
•Machine customers
– The Six Waves of Transformation
Short deep dives into each wave with real enterprise use cases.
– The ARCHAI Blueprint
A clear architectural framework for AI-first enterprises:
•Attention & Intent Modeling
•Retrieval & Knowledge Fabric
•Capability & Context Models
•Human + Agent Co-working Patterns
•Action Guardrails & Safety
•Integration & Intelligence Architecture
This gives architects a single, unified design methodology across all emerging technologies.
– The Architect’s Playbook
Practical patterns for:
•Intelligence fabrics
•Agent-safe APIs
•Digital twin integration
•Trust & decentralized identity
•Ecosystem-ready design
– Operationalizing EA 4.0
How architecture teams evolve:
•New EA roles
•Continuous planning
•Agent governance
•EA dashboards
•The 12-month adoption roadmap
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