Mastering AI-Driven Application Rationalization for Future-Proof IT Leadership
You're under pressure. Legacy systems are creaking, technical debt is mounting, and stakeholders are demanding innovation without budget increases. Cloud migration timelines keep slipping. Shadow IT is growing. And now, AI promises transformation - but you’re stuck deciding which applications to modernize, retire, or rebuild - with no clear framework to guide the strategy. Every day without a systematic, AI-powered rationalization process costs your organization money, agility, and competitive edge. You don’t need more theory - you need a battle-tested method to cut through complexity and deliver actionable insights that earn executive trust and board-level buy-in. Mastering AI-Driven Application Rationalization for Future-Proof IT Leadership gives you exactly that. It’s not just a course - it’s your end-to-end playbook for transforming application portfolios using intelligent frameworks, data-driven analysis, and strategic prioritization models that align directly with business outcomes. One learner, Maria T., Director of Application Strategy at a global financial institution, used this method to reduce her portfolio by 38% in 90 days, reallocating $6.2M in annual licensing fees toward AI innovation initiatives. Her CFO now briefs her before every strategy meeting. This is how you go from overwhelmed to in control - from cost center to strategic enabler. In just 4 weeks, you’ll complete a real-world rationalization project with a fully documented, board-ready proposal, complete with risk scoring, migration pathways, and ROI projections. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, On-Demand, and Built for Real IT Leaders
This course is designed for professionals who don’t have time to wait. You get immediate online access to all materials upon enrollment. No fixed schedules. No mandatory logins. Work at your own pace, from any device, anywhere in the world. Most learners complete the core program in 4 to 6 weeks, dedicating 5 to 7 hours per week. However, many report applying the first framework to their live application inventory within 72 hours of starting - resulting in immediate clarity and measurable progress. You receive lifetime access to all course content. This includes every framework, tool, and template - yours forever. Plus, as AI and enterprise architecture evolve, we continuously update the course materials at no extra cost. You stay current, automatically. Designed for Mobile, Delivered Anytime, Anywhere
Access everything 24/7 across all your devices. Whether you’re reviewing decision matrices on your tablet during a flight or refining your rationalization criteria on your phone between meetings, the experience is seamless and mobile-optimized. The content is text-first, precision-engineered for clarity and retention, with structured learning pathways and integrated progress tracking so you always know exactly where you stand. Real Guidance, Real Support
You’re not alone. Throughout the course, you have direct access to instructor support via dedicated feedback channels. Get your questions answered by seasoned enterprise architects and AI integration strategists with over 20 years of combined experience in large-scale rationalization programs. This isn’t automated chat or canned responses - it’s human, role-specific guidance tailored to your organizational context, compliance landscape, and architectural constraints. Certificate of Completion Issued by The Art of Service
Upon finishing the course and submitting your capstone rationalization proposal, you earn a verifiable Certificate of Completion issued by The Art of Service - a globally recognized authority in enterprise IT strategy and professional development. This certificate is trusted by Fortune 500 companies, government agencies, and IT consultancies worldwide. It validates your mastery of AI-powered application rationalization and strengthens your credibility as a future-ready technology leader. Transparent, Upfront Pricing, Zero Risk
No hidden fees. No surprise charges. The price you see is the price you pay - one-time, full access, forever. We accept all major payment methods, including Visa, Mastercard, and PayPal. And if you find the course doesn’t meet your expectations, you’re protected by our 30-day no-questions-asked money-back guarantee. You can study the first three modules, test the frameworks on your real environment, and if you’re not convinced, simply request a full refund. After enrollment, you’ll receive a confirmation email. Your access details and login instructions will follow in a separate message once your course materials are prepared. This ensures a seamless onboarding experience without errors or delays. “Will This Work for Me?” – We’ve Got You Covered
Whether you're a CTO overseeing a 500-app estate, a solutions architect guiding cloud migration, or an IT director navigating digital transformation, this course adapts to your level and scope. This works even if: you're new to AI, your portfolio is highly customized, your organization resists change, or you lack dedicated data science resources. The frameworks are designed to work with lean teams, imperfect data, and legacy environments - because that’s where real-world IT operates. With embedded templates, scoring models, and integration guides, you’ll apply each concept directly to your context. Hundreds of IT leaders across banking, healthcare, manufacturing, and public sector have used this course to unlock budget, reduce risk, and position themselves as strategic leaders. Your success isn’t left to chance - it’s engineered into the structure, supported by evidence, and backed by a guarantee.
Module 1: Foundations of AI-Driven Application Rationalization - Understanding the modern application landscape and its challenges
- The business impact of technical debt and portfolio bloat
- Defining application rationalization in the AI era
- Key drivers: cost reduction, agility, security, compliance, and innovation
- Differentiating modernization, migration, retirement, and replacement
- The role of AI in automating discovery and classification
- Common pitfalls in legacy rationalization approaches
- Aligning rationalization with enterprise architecture goals
- Stakeholder mapping and influence strategies
- Establishing success metrics and KPIs for rationalization programs
Module 2: Strategic Frameworks for AI-Powered Decision Making - Introducing the ART Framework: Assess, Rank, Transform
- Data-driven decision models for application prioritization
- Weighted scoring techniques using business criticality, technical health, and usage
- AI-enhanced dependency mapping and integration analysis
- Application categorization using the 7-State Model (Retire, Retain, Rehost, Replatform, Refactor, Repurchase, Rebuild)
- Building custom scoring rubrics for your organization
- Integrating business capability modeling into rationalization
- Time-to-value analysis for modernization initiatives
- Using AI to surface hidden risks and compliance gaps
- Scenario modeling: simulating portfolio changes before implementation
Module 3: AI Tools and Data Preparation for Application Discovery - Overview of AI-powered discovery tools and platforms
- Configuring automated code scanning and metadata extraction
- Integrating CMDB, service catalogs, and configuration databases
- Data cleansing and normalization for rationalization datasets
- Handling incomplete or inaccurate inventory data
- Identifying shadow IT through behavioral analytics
- Automating application usage and dependency detection
- Generating AI-powered health scores for each application
- Setting up continuous monitoring for portfolio drift
- Building a single source of truth for application intelligence
Module 4: Application Assessment and Health Scoring - The 5-Dimension Application Health Model
- Measuring technical debt using code quality metrics
- Evaluating vendor viability and contractual obligations
- Assessing platform end-of-life and security exposure
- Quantifying maintenance costs and support burden
- Calculating user satisfaction and productivity impact
- Using AI to analyze code complexity and duplication
- Detecting undocumented integrations and hard-coded dependencies
- Automating compliance checks for SOX, GDPR, HIPAA, and FedRAMP
- Generating comprehensive assessment reports with AI summaries
Module 5: Business Value and Strategic Alignment Scoring - Linking applications to core business capabilities
- Mapping application functionality to customer journeys
- Assigning strategic value scores: innovation enabler vs commodity
- Measuring business impact of downtime or failure
- Assessing alignment with digital transformation roadmap
- Scoring adaptability to future business change
- Evaluating contribution to revenue generation or cost avoidance
- AI-driven customer and employee impact forecasting
- Scoring for ecosystem centrality and integration leverage
- Creating a heat map of business-critical applications
Module 6: Risk Profiling and Security Prioritization - Developing a comprehensive AI-powered risk scoring model
- Identifying applications with known vulnerabilities or exploit history
- Assessing exposure to supply chain attacks
- Measuring data sensitivity and PII handling
- Scanning for outdated libraries and frameworks
- Automating NIST and CIS benchmark comparisons
- Detecting insecure API endpoints and authentication flaws
- Estimating breach likelihood and potential financial impact
- Overlaying regulatory and audit requirements
- Generating risk-prioritized modernization queues
Module 7: Cost Analysis and TCO Modeling - Building accurate total cost of ownership models
- Breaking down direct costs: licensing, hosting, support
- Calculating hidden costs: integration, testing, documentation
- Estimating operational overhead and FTE burden
- Factoring in cloud egress, data storage, and network costs
- Comparing on-prem vs cloud hosting economics
- Projecting 3- and 5-year cost trends
- Using AI to detect cost anomalies and overspending
- Identifying SaaS sprawl and duplicate functionality
- Modeling cost savings from rationalization actions
Module 8: Migration Pathway Design and Technology Fit Analysis - Choosing the right modernization path for each application
- Rehosting: lift-and-shift feasibility and limitations
- Replatforming: database and OS upgrades with minimal changes
- Refactoring for cloud-native and microservices architectures
- Repurchasing: evaluating SaaS and low-code alternatives
- Rebuilding: assessing greenfield development ROI
- Retiring: identifying obsolete and redundant applications
- Using AI to recommend optimal migration strategies
- Validating technology fit with target ecosystem standards
- Designing phased migration roadmaps with buffer zones
Module 9: AI-Enhanced Dependency and Impact Analysis - Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Understanding the modern application landscape and its challenges
- The business impact of technical debt and portfolio bloat
- Defining application rationalization in the AI era
- Key drivers: cost reduction, agility, security, compliance, and innovation
- Differentiating modernization, migration, retirement, and replacement
- The role of AI in automating discovery and classification
- Common pitfalls in legacy rationalization approaches
- Aligning rationalization with enterprise architecture goals
- Stakeholder mapping and influence strategies
- Establishing success metrics and KPIs for rationalization programs
Module 2: Strategic Frameworks for AI-Powered Decision Making - Introducing the ART Framework: Assess, Rank, Transform
- Data-driven decision models for application prioritization
- Weighted scoring techniques using business criticality, technical health, and usage
- AI-enhanced dependency mapping and integration analysis
- Application categorization using the 7-State Model (Retire, Retain, Rehost, Replatform, Refactor, Repurchase, Rebuild)
- Building custom scoring rubrics for your organization
- Integrating business capability modeling into rationalization
- Time-to-value analysis for modernization initiatives
- Using AI to surface hidden risks and compliance gaps
- Scenario modeling: simulating portfolio changes before implementation
Module 3: AI Tools and Data Preparation for Application Discovery - Overview of AI-powered discovery tools and platforms
- Configuring automated code scanning and metadata extraction
- Integrating CMDB, service catalogs, and configuration databases
- Data cleansing and normalization for rationalization datasets
- Handling incomplete or inaccurate inventory data
- Identifying shadow IT through behavioral analytics
- Automating application usage and dependency detection
- Generating AI-powered health scores for each application
- Setting up continuous monitoring for portfolio drift
- Building a single source of truth for application intelligence
Module 4: Application Assessment and Health Scoring - The 5-Dimension Application Health Model
- Measuring technical debt using code quality metrics
- Evaluating vendor viability and contractual obligations
- Assessing platform end-of-life and security exposure
- Quantifying maintenance costs and support burden
- Calculating user satisfaction and productivity impact
- Using AI to analyze code complexity and duplication
- Detecting undocumented integrations and hard-coded dependencies
- Automating compliance checks for SOX, GDPR, HIPAA, and FedRAMP
- Generating comprehensive assessment reports with AI summaries
Module 5: Business Value and Strategic Alignment Scoring - Linking applications to core business capabilities
- Mapping application functionality to customer journeys
- Assigning strategic value scores: innovation enabler vs commodity
- Measuring business impact of downtime or failure
- Assessing alignment with digital transformation roadmap
- Scoring adaptability to future business change
- Evaluating contribution to revenue generation or cost avoidance
- AI-driven customer and employee impact forecasting
- Scoring for ecosystem centrality and integration leverage
- Creating a heat map of business-critical applications
Module 6: Risk Profiling and Security Prioritization - Developing a comprehensive AI-powered risk scoring model
- Identifying applications with known vulnerabilities or exploit history
- Assessing exposure to supply chain attacks
- Measuring data sensitivity and PII handling
- Scanning for outdated libraries and frameworks
- Automating NIST and CIS benchmark comparisons
- Detecting insecure API endpoints and authentication flaws
- Estimating breach likelihood and potential financial impact
- Overlaying regulatory and audit requirements
- Generating risk-prioritized modernization queues
Module 7: Cost Analysis and TCO Modeling - Building accurate total cost of ownership models
- Breaking down direct costs: licensing, hosting, support
- Calculating hidden costs: integration, testing, documentation
- Estimating operational overhead and FTE burden
- Factoring in cloud egress, data storage, and network costs
- Comparing on-prem vs cloud hosting economics
- Projecting 3- and 5-year cost trends
- Using AI to detect cost anomalies and overspending
- Identifying SaaS sprawl and duplicate functionality
- Modeling cost savings from rationalization actions
Module 8: Migration Pathway Design and Technology Fit Analysis - Choosing the right modernization path for each application
- Rehosting: lift-and-shift feasibility and limitations
- Replatforming: database and OS upgrades with minimal changes
- Refactoring for cloud-native and microservices architectures
- Repurchasing: evaluating SaaS and low-code alternatives
- Rebuilding: assessing greenfield development ROI
- Retiring: identifying obsolete and redundant applications
- Using AI to recommend optimal migration strategies
- Validating technology fit with target ecosystem standards
- Designing phased migration roadmaps with buffer zones
Module 9: AI-Enhanced Dependency and Impact Analysis - Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Overview of AI-powered discovery tools and platforms
- Configuring automated code scanning and metadata extraction
- Integrating CMDB, service catalogs, and configuration databases
- Data cleansing and normalization for rationalization datasets
- Handling incomplete or inaccurate inventory data
- Identifying shadow IT through behavioral analytics
- Automating application usage and dependency detection
- Generating AI-powered health scores for each application
- Setting up continuous monitoring for portfolio drift
- Building a single source of truth for application intelligence
Module 4: Application Assessment and Health Scoring - The 5-Dimension Application Health Model
- Measuring technical debt using code quality metrics
- Evaluating vendor viability and contractual obligations
- Assessing platform end-of-life and security exposure
- Quantifying maintenance costs and support burden
- Calculating user satisfaction and productivity impact
- Using AI to analyze code complexity and duplication
- Detecting undocumented integrations and hard-coded dependencies
- Automating compliance checks for SOX, GDPR, HIPAA, and FedRAMP
- Generating comprehensive assessment reports with AI summaries
Module 5: Business Value and Strategic Alignment Scoring - Linking applications to core business capabilities
- Mapping application functionality to customer journeys
- Assigning strategic value scores: innovation enabler vs commodity
- Measuring business impact of downtime or failure
- Assessing alignment with digital transformation roadmap
- Scoring adaptability to future business change
- Evaluating contribution to revenue generation or cost avoidance
- AI-driven customer and employee impact forecasting
- Scoring for ecosystem centrality and integration leverage
- Creating a heat map of business-critical applications
Module 6: Risk Profiling and Security Prioritization - Developing a comprehensive AI-powered risk scoring model
- Identifying applications with known vulnerabilities or exploit history
- Assessing exposure to supply chain attacks
- Measuring data sensitivity and PII handling
- Scanning for outdated libraries and frameworks
- Automating NIST and CIS benchmark comparisons
- Detecting insecure API endpoints and authentication flaws
- Estimating breach likelihood and potential financial impact
- Overlaying regulatory and audit requirements
- Generating risk-prioritized modernization queues
Module 7: Cost Analysis and TCO Modeling - Building accurate total cost of ownership models
- Breaking down direct costs: licensing, hosting, support
- Calculating hidden costs: integration, testing, documentation
- Estimating operational overhead and FTE burden
- Factoring in cloud egress, data storage, and network costs
- Comparing on-prem vs cloud hosting economics
- Projecting 3- and 5-year cost trends
- Using AI to detect cost anomalies and overspending
- Identifying SaaS sprawl and duplicate functionality
- Modeling cost savings from rationalization actions
Module 8: Migration Pathway Design and Technology Fit Analysis - Choosing the right modernization path for each application
- Rehosting: lift-and-shift feasibility and limitations
- Replatforming: database and OS upgrades with minimal changes
- Refactoring for cloud-native and microservices architectures
- Repurchasing: evaluating SaaS and low-code alternatives
- Rebuilding: assessing greenfield development ROI
- Retiring: identifying obsolete and redundant applications
- Using AI to recommend optimal migration strategies
- Validating technology fit with target ecosystem standards
- Designing phased migration roadmaps with buffer zones
Module 9: AI-Enhanced Dependency and Impact Analysis - Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Linking applications to core business capabilities
- Mapping application functionality to customer journeys
- Assigning strategic value scores: innovation enabler vs commodity
- Measuring business impact of downtime or failure
- Assessing alignment with digital transformation roadmap
- Scoring adaptability to future business change
- Evaluating contribution to revenue generation or cost avoidance
- AI-driven customer and employee impact forecasting
- Scoring for ecosystem centrality and integration leverage
- Creating a heat map of business-critical applications
Module 6: Risk Profiling and Security Prioritization - Developing a comprehensive AI-powered risk scoring model
- Identifying applications with known vulnerabilities or exploit history
- Assessing exposure to supply chain attacks
- Measuring data sensitivity and PII handling
- Scanning for outdated libraries and frameworks
- Automating NIST and CIS benchmark comparisons
- Detecting insecure API endpoints and authentication flaws
- Estimating breach likelihood and potential financial impact
- Overlaying regulatory and audit requirements
- Generating risk-prioritized modernization queues
Module 7: Cost Analysis and TCO Modeling - Building accurate total cost of ownership models
- Breaking down direct costs: licensing, hosting, support
- Calculating hidden costs: integration, testing, documentation
- Estimating operational overhead and FTE burden
- Factoring in cloud egress, data storage, and network costs
- Comparing on-prem vs cloud hosting economics
- Projecting 3- and 5-year cost trends
- Using AI to detect cost anomalies and overspending
- Identifying SaaS sprawl and duplicate functionality
- Modeling cost savings from rationalization actions
Module 8: Migration Pathway Design and Technology Fit Analysis - Choosing the right modernization path for each application
- Rehosting: lift-and-shift feasibility and limitations
- Replatforming: database and OS upgrades with minimal changes
- Refactoring for cloud-native and microservices architectures
- Repurchasing: evaluating SaaS and low-code alternatives
- Rebuilding: assessing greenfield development ROI
- Retiring: identifying obsolete and redundant applications
- Using AI to recommend optimal migration strategies
- Validating technology fit with target ecosystem standards
- Designing phased migration roadmaps with buffer zones
Module 9: AI-Enhanced Dependency and Impact Analysis - Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Building accurate total cost of ownership models
- Breaking down direct costs: licensing, hosting, support
- Calculating hidden costs: integration, testing, documentation
- Estimating operational overhead and FTE burden
- Factoring in cloud egress, data storage, and network costs
- Comparing on-prem vs cloud hosting economics
- Projecting 3- and 5-year cost trends
- Using AI to detect cost anomalies and overspending
- Identifying SaaS sprawl and duplicate functionality
- Modeling cost savings from rationalization actions
Module 8: Migration Pathway Design and Technology Fit Analysis - Choosing the right modernization path for each application
- Rehosting: lift-and-shift feasibility and limitations
- Replatforming: database and OS upgrades with minimal changes
- Refactoring for cloud-native and microservices architectures
- Repurchasing: evaluating SaaS and low-code alternatives
- Rebuilding: assessing greenfield development ROI
- Retiring: identifying obsolete and redundant applications
- Using AI to recommend optimal migration strategies
- Validating technology fit with target ecosystem standards
- Designing phased migration roadmaps with buffer zones
Module 9: AI-Enhanced Dependency and Impact Analysis - Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Automating dependency discovery across systems and services
- Mapping logical, data, and process dependencies
- Identifying single points of failure and coupling risks
- Visualizing application network topology with AI clustering
- Simulating ripple effects of retiring or modifying an application
- Assessing downstream impact on business processes
- Detecting undocumented or legacy integrations
- Using AI to predict integration rework effort
- Generating dependency heat maps and risk corridors
- Planning safe decommissioning sequences
Module 10: Change Resistance and Organizational Dynamics - Identifying emotional and political barriers to rationalization
- Mapping power structures and application ownership cultures
- Handling application pets vs cattle mentalities
- Designing communication plans for affected teams
- Preparing business units for system sunsetting
- Managing knowledge loss during retirements
- Using AI to identify high-resistance areas in advance
- Building coalitions of rationalization advocates
- Creating transparency through dashboards and reporting
- Establishing governance for ongoing portfolio hygiene
Module 11: Building the Board-Ready Rationalization Business Case - Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Structuring executive-level narratives for funding approval
- Translating technical findings into business impact
- Quantifying cost savings, risk reduction, and agility gains
- Using AI to generate financial models and ROI projections
- Creating visual summaries: portfolio before and after
- Drafting phased investment scenarios with risk-adjusted returns
- Aligning with CFO priorities: OpEx vs CapEx optimization
- Addressing ESG and sustainability metrics from rationalization
- Presenting trade-offs and strategic choices clearly
- Finalizing your capstone proposal for certification
Module 12: Implementation Planning and Execution Roadmaps - Building a 90-day execution plan for initial rationalization wave
- Defining success criteria and go-live checklists
- Scheduling decommissioning activities with minimal disruption
- Planning data archiving, backup, and retrieval strategies
- Establishing rollback procedures and contingency plans
- Coordinating with cloud, security, and compliance teams
- Setting up monitoring for post-retirement stability
- Documenting lessons learned and process refinements
- Scaling the program to enterprise-wide rollout
- Integrating rationalization into change management lifecycle
Module 13: Continuous Portfolio Optimization and AI Monitoring - Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability
Module 14: Capstone Project and Certification Submission - Overview of the capstone rationalization project
- Selecting a real or simulated application portfolio
- Conducting end-to-end assessment using ART Framework
- Generating AI-enhanced risk, cost, and value scores
- Designing migration pathways and retirement plans
- Creating impact analysis and dependency maps
- Developing a financial model and ROI forecast
- Writing the executive summary and board presentation
- Formatting the complete proposal package
- Submitting for review and earning your Certificate of Completion
- Designing ongoing portfolio governance models
- Implementing continuous discovery and assessment cycles
- Setting up AI-powered alerts for portfolio drift
- Automating quarterly reassessment workflows
- Integrating with ITSM and project management tools
- Creating executive dashboards for portfolio health
- Establishing feedback loops with business units
- Using reinforcement learning to refine scoring models
- Adapting frameworks to new technologies and regulations
- Building a culture of application accountability