This module confronts the harsh reality of memory failures in production AI systems. Through real case studies from healthcare, finance, and customer support, you'll learn to identify the three critical failure axes: drift, leakage, and compliance violations. We'll analyze why traditional approaches to memory fail in agentic systems and quantify the business impact of uncontrolled memory.

You'll then master the Agentic Memory Engineering framework and its maturity ladder (L0-L4). Through guided self-assessment, you'll pinpoint your organization's current maturity level and define a target state aligned with your risk profile and use case requirements. The module concludes with a practical roadmap for achieving quick wins and establishing measurable improvement goals.