Application Rationalization
Discover & Inventory
AI catalogs all applications across your portfolio
Analyze Usage & Value
Assess business criticality and actual usage patterns
Detect Redundancies
Identify overlapping functionality and waste
Optimize Portfolio
Execute data-driven consolidation strategy
AI-Powered Intelligent Analysis
Our AI goes beyond basic inventorying to provide deep insights into usage patterns, business criticality, and redundancy detection across your application portfolio.
Usage Pattern Analysis
AI analyzes actual user activity, login frequencies, transaction volumes, and engagement metrics to understand real application usage versus perceived importance.
- Active user counts and trends
- Peak usage times and patterns
- Feature adoption rates
- Idle or underutilized applications
Business Criticality Assessment
Intelligent evaluation of each application's strategic importance, business impact, and role in core operations to prioritize rationalization decisions.
- Revenue impact analysis
- Business process dependency mapping
- User role and department criticality
- Regulatory and compliance requirements
Redundancy Detection
Automatically identifies applications with overlapping functionality, duplicate capabilities, and opportunities for consolidation to eliminate waste and reduce complexity.
- Functional overlap analysis
- Duplicate capability detection
- Vendor consolidation opportunities
- License optimization recommendations
Cost Optimization
AI analyzes total cost of ownership, identifies expensive redundancies, and projects savings from consolidation strategies based on your specific portfolio.
- License cost analysis
- Maintenance and support costs
- Hidden infrastructure expenses
- ROI projections for consolidation
Risk & Impact Assessment
Evaluates the technical and business risks of consolidation, identifies dependencies, and prioritizes rationalization actions by risk level and business impact.
- Dependency mapping
- Integration complexity analysis
- Business continuity assessment
- Migration risk scoring
Strategic Roadmapping
Generates prioritized rationalization roadmaps with clear phases, milestones, and sequencing based on business value, technical feasibility, and risk factors.
- Phased consolidation planning
- Quick wins identification
- Long-term transformation strategy
- Resource and timeline estimates
Portfolio Visualization & Analysis
Visual representations of your application portfolio that reveal patterns, redundancies, and optimization opportunities at a glance.
Portfolio Value Matrix
AI maps applications across business criticality and technical health dimensions to identify rationalization priorities.
High value, good health
High value, poor health
Low value, good health
Low value, poor health
Redundancy Detection
Identifies applications with overlapping functionality and visualizes consolidation opportunities with projected cost savings.
Potential savings: €500k/year
Potential savings: €180k/year
Typical Rationalization Results
Real outcomes from organizations that have implemented AI-powered application rationalization strategies.
Cost Reduction
Average annual savings from eliminating redundant applications and consolidating licenses
Portfolio Reduction
Typical decrease in application count through intelligent consolidation
Faster Decision Making
Time saved in rationalization planning with AI-powered analysis
Usage Accuracy
Improvement in understanding actual vs. perceived application usage
Redundancy Detection
Of redundant applications identified through AI that were previously unknown
ROI Timeline
Typical time to realize full return on rationalization investment
Why AI-Powered Rationalization Works
Traditional manual approaches miss hidden patterns and take months to complete. AI analysis delivers comprehensive insights in days, not quarters.
Speed & Scale
Analyze hundreds of applications in hours instead of months. AI processes usage data, costs, dependencies, and business value across your entire portfolio simultaneously, delivering actionable insights in a fraction of traditional timelines.
Objective Analysis
Remove bias and politics from rationalization decisions. AI analyzes actual usage data, real costs, and measurable business impact—not opinions or historical preferences—to provide objective recommendations that stand up to scrutiny.
Hidden Insights
Discover redundancies and optimization opportunities that manual reviews miss. AI detects subtle patterns in usage, identifies shadow IT, uncovers forgotten applications, and reveals consolidation opportunities hidden in complex portfolios.
Continuous Optimization
Rationalization isn't a one-time project. AI continuously monitors your portfolio, alerting you to new redundancies, usage changes, and optimization opportunities as your application landscape evolves, ensuring ongoing portfolio health.
Ready to Optimize Your Application Portfolio?
See how AI-powered rationalization can eliminate waste, reduce costs, and align your portfolio with business priorities.