Enterprise Architecture 2025–2028: AI-Native, Agentic & Governed
Over the next three years, the enterprise stack is being reshaped by Agentic AI, AI governance platforms, disinformation security, hybrid/spatial computing, and post-quantum cryptography. This talk gives architects a concrete operating model to turn those trends into roadmaps, controls, and shipped value. You’ll learn how to design an agentic platform (MCP + LangGraph), evolve from RAG to GraphRAG with evaluation harnesses, stand up an ISO/IEC 42001-aligned AI management system using the NIST AI RMF Generative AI Profile, prepare for EU AI Act phasing, harden LLM/agent security with OWASP controls, adopt confidential computing for private inference, measure cost & carbon with the Software Carbon Intensity (SCI) standard, and roll out a PQC-ready crypto plan (FIPS 203/204/205). We close with a 90-day activation plan and a 3-year EA roadmap template.
Why join
- Turn “AI experiments” into governed, cost-aware platforms that your CIO and CISO will approve.
- Learn AgentOps, GraphRAG, and LLM security patterns that actually survive production.
- Leave with ready-to-use templates: roadmap, control map, eval pack, and a 90-day activation plan.
Who it’s for
Enterprise/Software Architects, Platform/AI Leads, Software Engineers, Security & Compliance partners.
What you’ll take away (outcomes)
- Agentic Platform Blueprint: MCP + orchestration (e.g., LangGraph) + policy engine + evals + observability.
- GraphRAG Playbook: evidence-traceable answers with CI’d retrieval metrics.
- Governance Pack: AI control map aligned to leading standards (artifacts, owners, RACI).
- LLM/Agent Security: practical mitigations (guardrails, tool sandboxing, abuse/throttling).
- Privacy & Sovereignty: confidential compute pattern for private inference + PETs options.
- Cost & Carbon: FinOps/GreenOps quick wins; track “cost & gCO₂e per request.”
- PQC Readiness: simple dual-stack crypto plan for the next 36 months.
- 90-Day Kickstart: one agent use case + eval harness + policy artifacts + SCI baseline.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.