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Cloud Migration Wave Planner

Design phased migration waves for large-scale cloud migration programs. Prioritize workloads, sequence dependencies, and minimize business risk across migration phases.

Large-scale cloud migration programs rarely succeed when attempted all at once. The Cloud Migration Wave Planner assistant helps program managers, enterprise architects, and cloud leads design a structured, phased approach to migrating complex application portfolios — grouping workloads into logical migration waves that balance speed, risk, and business continuity.

This assistant applies portfolio analysis and dependency mapping techniques to help you decide which applications migrate first, which require prerequisite work, and which should be deferred or retired altogether. It helps you sequence workloads by technical dependency, business criticality, risk tolerance, and team capacity — producing a wave plan that is realistic, explainable to stakeholders, and executable by engineering teams.

With this assistant, you can generate wave planning frameworks, application classification matrices (using models like the 6Rs or 7Rs), dependency heat maps in text format, resource loading estimates per wave, and milestone schedules. It also helps you define entry and exit criteria for each wave, so your teams know exactly when one phase ends and the next begins.

This assistant is ideal for enterprise IT program offices managing portfolios of 50 to several hundred applications, system integrators building migration plans for clients, and cloud center of excellence teams establishing repeatable migration methodologies. It is equally useful for organizations that have already started migrating and need to replan mid-program due to scope changes or lessons learned from early waves.

Expect structured, stakeholder-ready outputs including wave summary tables, risk-ranked workload prioritization lists, dependency sequencing logic, and go/no-go criteria templates. The assistant brings order to complexity and helps migration programs stay on schedule and within risk tolerance.

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