GenAI App Rationalization Advisor
A prototype that produces stakeholder tailored recommendations and rationales to support application portfolio decisions.
Overview
The advisor synthesizes application inventory, usage metrics, and stakeholder priority inputs into concise recommendations. It returns options with trade offs and supporting rationale to help leaders make faster, informed decisions.
Challenge
Application rationalization is complex and involves many stakeholders with different priorities. Gathering, aligning, and presenting actionable recommendations was time consuming and often biased by limited perspectives.
Approach
The prototype ingests inventory and metrics, maps stakeholder priorities, and uses a generative model to produce prioritized recommendations and explainable rationales. Outputs include suggested actions, risk notes, and implementation considerations.
Results
The advisor accelerated the generation of stakeholder-specific recommendations and provided transparent rationale. This helped teams focus on high-impact candidates for consolidation or modernization and reduced analysis time.