A candid look at turning AI hype into production results, told through the lens of Prakhar Srivastava, our newest recruit on the Enterprise Architecture team at SnapLogic. Over the years, Prakhar has been a practitioner, a consultant, and a vendor, and shares perspectives from each of those roles. We map lessons from SOA and APIs to agentic AI, and show how governance, data fabric, and empathy drive real outcomes in complex, regulated environments, using Prakhar's experience in the airline industry as a guide.
• three lenses on enterprise architecture and value
• composable enterprise as an AI readiness strategy
• agents as APIs with memory and similar pitfalls
• need for gateways, meshes, and security guardrails
• four risks to manage: governance, interoperability, trust, security
• data as water and the role of a fabric
• crawl‑walk‑run roadmap from use case to production
• outsourcing lessons and knowledge repatriation
• retraining, drift, and resilient deployments
• empathy and partnering over hard selling
