Every modernization project carries risk. The biggest risk isn’t technical – it’s the business logic you didn’t know existed. A validation rule buried in a stored procedure. A workflow that only fires on the third Tuesday of the month. An integration that silently transforms data before it reaches the next system.
Catalio’s gap analysis finds these before they become production incidents.
What Is Gap Analysis?
Gap analysis compares what your legacy system actually does (captured in the living specification) against what your target system needs to do. It answers three critical questions:
- What exists in legacy that isn’t planned for the target? (missing requirements)
- What’s planned for the target that doesn’t exist in legacy? (new capabilities)
- What exists in both but behaves differently? (transformation risk)
How It Works
Step 1: Establish the Baseline
Before you can find gaps, you need a complete picture of the source system. Catalio’s extraction process creates this automatically:
- Every business rule is identified and documented
- Every workflow is mapped end-to-end
- Every integration point is cataloged
- Every validation and constraint is captured
Step 2: Define the Target
Create an initiative in Catalio that describes where you’re going:
- Desired business outcomes
- Scope boundaries – what’s in and what’s out
Step 3: AI-Powered Comparison
Catalio’s AI analyzes both sides and produces:
- Coverage matrix: Which legacy rules are covered by the target design
- Gap list: Specific rules, workflows, or integrations with no target equivalent
- Risk assessment: Rated by business impact and migration complexity
- Recommendations: Suggested approaches for closing each gap
Important
Common Gap Categories
Business Rule Gaps
Rules that exist in the legacy system but aren’t reflected in the target:
- Conditional pricing logic
- Approval hierarchies
- Regional compliance variations
- Historical data transformation rules
Integration Behavior Gaps
Integration gaps describe behavior the target must preserve or deliberately replace – they are not a list of connectors:
- Batch processing schedules and ordering
- Real-time data flow and transformation behavior
- File formats, validation, and exception handling
- Authentication and authorization expectations
Process Gaps
End-to-end workflows that span multiple systems:
- Order-to-cash processes
- Employee onboarding flows
- Regulatory reporting chains
- Exception handling procedures
Migration Patterns
Use the same Extract, Understand, and Evolve comparison for each migration pattern:
| Migration pattern | What to compare |
|---|---|
| Legacy → Salesforce (Beta) | Existing data structures, rules, workflows, and UI behavior against the Salesforce target design |
| Legacy → ServiceNow (roadmap) | Existing ITSM processes and behavior against the planned target; the connector is not yet available |
| Legacy → NetSuite (roadmap) | Existing ERP behavior and customizations against the planned target; see SaaS platform configuration |
| Any platform | Source behavior, target requirements, and every deliberate difference between them |
The comparison is about preserving business behavior. Connector availability affects how metadata enters Catalio, but it does not define the gaps themselves.
What You Gain
Catalio’s gap analysis is built to help modernization projects:
- Move faster by starting from a complete, verified picture
- Preserve business rules with nothing slipping through the cracks
- Reduce production incidents post-migration
- Build stakeholder confidence with visible progress tracking
Getting Started
- Connect your source application and let Catalio extract the baseline
- Create a modernization initiative with your target platform and goals
- Review the AI-generated gap analysis
- Use the gap list to drive your migration backlog
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