AI Software Archeology 

At 2Oaks, we use modern AI tooling to recover and refresh system knowledge when institutional memory has faded, documentation is stale, or the original vendor relationship has broken down. Our consultants reverse-engineer poorly documented legacy systems so modernization decisions are made on evidence rather than folklore. A typical engagement delivers architecture and dependency diagrams, recovered business requirements in RFP-ready format, a technical and security risk register, and executive-ready modernization recommendations. 

Key Components of Our Service

  • Real system understanding begins with thorough technical discovery. Our team will: 

    • Conduct non-invasive scans of legacy codebases across modern and older languages 

    • Extract business capabilities, domain rules, and functional requirements from source code 

    • Identify external integrations, dependencies, end-of-life runtimes, and security exposures 

  • Visual representations make complex systems understandable for decision-makers. We help: 

    • Produce architecture, sequence, and deployment diagrams generated and reviewed iteratively by our architects 

    • Document critical workflows, business processes, and module responsibilities 

    • Map dependencies across cloud, on-premises, and third-party systems 

  • Technical findings have to translate into business terms before they are useful for planning. Our experts will: 

    • Convert technical findings into business capability mappings 

    • Identify gaps, redundancies, and operational improvement opportunities 

    • Capture functional and non-functional requirements in an RFP-ready format 

  • Understanding the current state is what makes future-state planning defensible. We help: 

    • Assess technical, operational, and security risks in the current environment 

    • Identify key-person dependencies, unsupported technologies, and architectural constraints 

    • Provide executive-ready recommendations with a clear handoff to modernization execution 

Partner with 2Oaks to recover lost system knowledge and establish the evidence-based foundation needed for confident, informed modernization decisions. 

Insights from our 2Oaks Team

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AI Software Archeology Technical Brief

  • Real system understanding begins with thorough technical discovery. Our team will: 

    • Conduct non-invasive scans of legacy codebases, including .NET and .NET Framework, Java, SQL, PowerShell, and older languages such as COBOL, using GitHub Copilot in agent mode, GitHub Copilot's @workspace context, and Azure Migrate's application and code assessment tool (AppCAT) 

    • Extract business capabilities, domain rules, and functional requirements directly from source code, stored procedures, and configuration, using custom Azure OpenAI agents grounded in your codebase through Azure AI Search 

    • Identify external integrations, dependencies, feature flags, end-of-life runtimes, and CVE exposure flagged during AI-assisted review 

  • Visual representations make complex systems understandable for the people making the decisions. We help: 

    • Produce architecture, sequence, and deployment diagrams (PlantUML or Mermaid) illustrating system components, data flows, and user interactions, generated and reviewed iteratively by our architects with support from GitHub Copilot 

    • Document critical workflows, business processes, and module responsibilities in a structured, review-friendly format 

    • Map dependencies and integration points across your technology ecosystem, including Azure, on-premises, and third-party SaaS endpoints 

  • Technical findings have to translate into business terms before they are useful for planning. Our experts will: 

    • Convert technical findings into business capability mappings aligned with your operating model and vendor-evaluation criteria 

    • Identify gaps, redundancies, and operational improvement opportunities that only become visible once the black box is open 

    • Define functional and non-functional requirements that any replacement or modernized system must support, captured in a structured, RFP-ready format 

  • Understanding the current state is what makes future-state planning defensible. We help: 

    • Assess technical, operational, and security risks associated with the current environment, including CVE exposure and architectural anti-patterns surfaced during AI analysis 

    • Identify key-person dependencies, unsupported technologies, and architectural constraints that will shape or block any migration path 

    • Provide executive-ready recommendations for modernization priorities and pathways, with a clear handoff to GitHub Copilot App Modernization for downstream .NET and Java upgrade, Azure migration, and containerization execution 

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