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
Zero fluff.