Iyene centralizes application and vendor records, connects them to business capabilities and dependencies, and supports AI-assisted analysis using the TIME framework.
Dashboard preview: application inventory, dependency mapping, cost context, and AI-assisted rationalization recommendations
Four connected steps grounded in the capabilities implemented in Iyene today
Create application and vendor records or use spreadsheet import to bring existing portfolio data into one structured workspace.
Connect applications to business capabilities, map dependencies, and visualize your entire technology landscape. See exactly which capabilities each app enables and identify gaps.
Maintain ownership, lifecycle, cost, technical-health, resilience, and vendor-risk context for portfolio review.
Use duplicate detection and AI-assisted TIME scoring to prepare rationalization recommendations for human review.
Portfolio data is updated when your team imports, creates, or edits records; Iyene does not claim automatic real-time discovery.
Understanding the differences and when to use each approach for managing your technology landscape
The main purpose and strategic objective of each approach
What each approach covers in the technology ecosystem
How each approach connects to business outcomes
What stages of asset lifecycle are managed
Primary business problems each approach solves
What makes each approach unique and valuable
While CMDB, ALM, and ITAM solve specific operational needs, APM provides the strategic layer that connects applications to business value, enabling portfolio optimization and informed decision-making.
Learn more about APM vs CMDB in detailBuild a structured application inventory, connect it to business capabilities, and use a named rationalization framework to support the next portfolio decision.
