# Legacy Code Mapping for Enterprise IT

*/Opportunities/Legacy_Code_Mapping_for_Enterprise_IT*

## Opportunity Overview

**Wedge**: Begin with regional banks executing COBOL-to-cloud migrations. This niche lacks the budget for premium global systems integrators but faces acute regulatory and security pressure to modernize aging infrastructure. After winning regional banks, expand into insurance carriers with identical mainframe stacks, then broaden to map legacy Java and C# monoliths across general enterprise verticals.
**Timing**: Large language models now feature context windows exceeding one million tokens alongside advanced cross-file reasoning capabilities. This allows the system to ingest entire, interconnected legacy repositories at once to trace logic flows, eliminating the piecemeal analysis limitations of earlier models.
**Why This I C P**: Financial, healthcare, and insurance enterprises face immediate operational risk from retiring COBOL and legacy-system talent. They possess high urgency and large modernization budgets, making them eager early adopters compared to younger technology sectors.
**Size Of Prize**: There are approximately 25,000 large enterprises globally maintaining legacy mainframe or monolithic systems. These organizations spend an average of $200,000 annually on discovery and reverse-engineering consulting for legacy maintenance, creating a $5B addressable market.
**Gap Narrative**: Enterprise IT departments operate critical infrastructure on undocumented legacy codebases where the original authors have left. Current static analysis tools output dense dependency graphs that require deep manual engineering interpretation. Enterprises need an automated system that translates millions of lines of legacy code directly into plain-English business logic and migration blueprints.
**Defensibility**: Defensibility stems from workflow lock-in as the platform becomes the enterprise system of record for architectural knowledge. By integrating into the CI/CD pipeline to continuously update documentation, the tool captures all future architectural changes. Over time, the system compiles a proprietary graph of the customer's specific architectural patterns, making it impossible for generic tools to match its domain accuracy.
**Why This Thesis**: A Service-as-Software approach fits this problem because enterprises lack the internal engineering talent to operate complex developer tools on legacy stacks. They buy the finished output of system maps and business requirements rather than software seats.

## Opportunity Linked Thesis

**Thesis**: [Software](/Theses/Software)

## Opportunity Linked I C P

**Icp**: [Enterprise IT Department](/CompanyTypes/Enterprise_IT_Department)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$1.5B-2.5B US and EU enterprise IT departments actively migrating mainframe or on-premise monolith architectures
**S O M**: ~$30M-50M
**T A M**: ~50,000 global enterprise IT departments × ~$100k-150k/yr ≈ $5B-7.5B
**Growth Rate**: ~12-18%/yr, driven by the rapid retirement of legacy-fluent engineers and the operational necessity of cloud migration
**Paid Comparable Spend**: ~$150k-300k/yr spent on external systems integrators and specialized legacy contractor hours for manual architecture discovery

## Opportunity Incumbents

- [CAST Highlight](/Products/CAST_Highlight) — Tool
- [IBM Application Discovery](/Products/IBM_Application_Discovery) — Tool
- [Micro Focus Analyzer](/Products/Micro_Focus_Analyzer) — Tool
- [Accenture Modernization Practice](/Products/Accenture_Modernization_Practice) — Service
- [Understand By SciTools](/Products/Understand_By_SciTools) — Tool
- [Manual Excel Spreadsheets](/Products/Manual_Excel_Spreadsheets) — Spreadsheet
- [Custom Grep Scripts](/Products/Custom_Grep_Scripts) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Infosec rejection rate > 50% across initial 20 pilot attempts
- Time-to-first-value > 14 days due to custom parser configuration
- Unparsed codebase volume > 15% on standard monoliths
- POC-to-paid conversion < 25% at a $50k entry price point
**Leading Metrics**:
- Time-to-first-dependency-graph
- Percentage of unparsed or orphaned code files
- Infosec approval rate for repository access
- Daily active queries by migration architects
- Mean time to resolve false positive dependencies
**What Proves Right**: Enterprise IT architecture teams ingest their legacy COBOL or Java repositories and generate accurate service dependency graphs without relying on specialized systems integrators. Migration architects use the output daily to plan cloud transitions, yielding $100k annual contracts that replace manual discovery spend. High-value cohorts expand usage across multiple distinct legacy business units within the first 90 days.
**What Proves Wrong**: Security and compliance teams block source code ingestion into third-party environments, stalling deployments indefinitely at the risk assessment stage. The system fails to parse heavily customized legacy frameworks, demanding excessive manual rule configuration that makes the setup slower than traditional grep scripts and Excel mapping.

## Opportunity Build Profile

**Hardest Part**: Parsing millions of lines of unstructured, undocumented legacy code that often misses dependencies or relies on proprietary internal frameworks into a deterministic dependency graph without hallucinations.
**Min Viable Scope**: Focus exclusively on mapping COBOL or legacy Java monoliths to output a static dependency graph and a dead-code inventory. Deliberately exclude automated code translation, refactoring execution, and support for front-end frameworks.
**Cold Start Problem**: Securing access to highly sensitive, proprietary enterprise codebases for testing and parser calibration. Break this by building the initial engine on historical open-source legacy repositories and offering an air-gapped on-premise trial to the first three design partners.
**Time To First Value**: 1 to 2 weeks for initial codebase indexing and dependency graph generation
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Incumbent in

- [Manual Excel Ledgers](/Products/Manual_Excel_Ledgers) — incumbent in · Products
- [Accenture Modernization Practice](/Products/Accenture_Modernization_Practice) — incumbent in · Products
- [CAST Highlight](/Products/CAST_Highlight) — incumbent in · Products
- [Custom Grep Scripts](/Products/Custom_Grep_Scripts) — incumbent in · Products
- [IBM Application Discovery](/Products/IBM_Application_Discovery) — incumbent in · Products
- [Understand By SciTools](/Products/Understand_By_SciTools) — incumbent in · Products
- [Micro Focus Analyzer](/Products/Micro_Focus_Analyzer) — incumbent in · Products

### Applies thesis

- [Enterprise IT Department](/CompanyTypes/Enterprise_IT_Department) — applies thesis · CompanyTypes

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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