Our business relies on a custom software platform that was built by a former employee, and now we are afraid to touch it because we do not understand the code. How can we use AI to document, reverse-engineer, and modernize this legacy software so we can reduce our technical debt before we begin exit planning?

Question

Tyler Smith · Accepted Answer

Relying on a custom software system that nobody understands is a massive risk that will crush your valuation during a Step by Step Exit assessment. Potential buyers hate black boxes because they fear the system will break the moment the transaction closes. You must convert this expert-dependent code into a system-dependent asset.

You can use modern AI code analysis tools to solve this problem without hiring an expensive software consultancy. First, feed your legacy codebase into a secure, private generative AI model designed for software development. Instruct the tool to analyze the code and generate plain-English documentation.

The AI should produce:
- A high-level system architecture map showing how data flows
- Clear explanations of the core business logic and algorithms
- A complete API and database schema documentation
- A prioritized list of security vulnerabilities and deprecated libraries

Once the AI has documented the system, use it to write automated unit tests. These tests will verify that the software functions correctly when you make future updates. By using AI to demystify your proprietary software, you build system-dependent operations that are easy to maintain and highly attractive to prospective buyers.