Sage AI Legacy Modernization Planning and Execution
Automate the journey from legacy code to migration plan to running modernized applications.
Sage Modernization combines agentic AI with Cognitive Pre-Compile, structured validation, and confidence scoring to produce predictable outcomes that match the legacy app with perfect affinity where you need it, and modern equivalents where you want it.
TLDR; Read the ACAS Modernization Report
Modernization fails when you don't understand what you have, and when you don't have a good plan.
70% of large-scale modernizations fail (McKinsey). Not because of bad technology — because nobody fully understood the existing system before trying to replace it. Using Claude Code or any LLM alone can analyze only about 30% of a large codebase before hitting context limits. The other 70% gets guessed at. Sage analyzes 100%.
What Sage Adds
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Cognitive Pre-Compile
Pre-analyzed semantic intelligence across 100% of your codebase. Business rules, architecture layers, integration points, all indexed before planning begins.
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Affinity-Driven Migration
Not everything transcodes 1:1, and you probably don't want it to, anyway. Sage identifies and eliminates legacy constraints (such as a 9-invoice processing limit from report layout restrictions) and preserves business rules.
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Built-In Hallucination Prevention
Every claim about your legacy system is validated against the Cognitive Pre-Compile before it enters the plan. No fabricated file references. No invented business rules.
How It Works
Analyze
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Start with Sage's Cognitive Pre-Compile for current architecture, business rules, data schemas, UI definitions, integration points, code and data mapping rules.
Plan
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The Migration Planning Workflow selects a target subsystem, extracts rules, identifies what stays and what changes (affinity rules), designs target architecture and service boundaries, and maps the cutover strategy.
Validate
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Every assumption is automatically checked against the source system. Derived business rules are re-validated against the Sage Cognitive Pre-Compile. No hallucinations make it into the plan.
Review
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Human review. Guide architecture decisions. Make course corrections. Iterate until the plan is exactly right.
Generate
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The validated plan feeds into a code generation workflow that produces containerized services, database schemas, deployment scripts, and a modern UI. Affinity rules govern what behavior stays and what changes. All output is validated against the ground truth of the Sage Cognitive Pre-Compile.
Ship
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Stakeholders get a comprehensive HTML report covering the full analysis, the plan, and the generated artifacts. Review, approve, deploy.
See the Full Analysis
We chose ACAS (Applewood Computers Accounting System) because it represents the hardest modernization challenge: a 48-year-old COBOL ERP system with deeply embedded business rules, configuration-driven logic, and decades of organic growth. If Sage can untangle this, it can untangle yours.
"The legacy system limited payment processing to 9 invoices at a time, a constraint from 1980s report layouts. Sage identified it. The modernized system eliminates it."
"Using Claude Code or any LLM alone can analyze only about 30% of files and guess at the rest. Sage's Cognitive Pre-Compile covers 100%, then validates every claim."
"Business rules aren't in your documentation. They're in your code. Sage finds them."
This report was generated for a real COBOL accounting system.
1M+ lines of legacy code across 619 files. 100% analyzed. Business rules no one remembered were in the code — surfaced automatically. Ready to see what Sage finds in yours?