用AI/works™摆脱遗留系统黑洞
来源: Thoughtworks
By Bharani Subramaniam
Organizations today are increasingly trapped by “black-box” systems that have become too risky to modify but remain too critical to abandon. This creates several existential hurdles:
- The visibility crisis: Over time, original architects leave and documentation fails to keep pace with patches, resulting in systems that are predictable at the surface but opaque at the core.
- The strategic paradox: Decision-makers face a system that actively resists understanding, absorbing massive efforts without yielding clarity or improvements.
- The cost of inaction: In the financial services sector alone, failing to modernize legacy systems is projected to result in $57 billion in lost revenue by 2028.
- Information asymmetry: When source code is missing or incomplete, projects can take two to four times longer than expected, leading to catastrophic budget overruns.
- The talent gap: As the experts who built these systems retire, new engineers lack the “safety net” of architecture records or test coverage needed to make safe changes.
“Escaping the Legacy Black Hole with AI/works™” addresses this critical paradox facing modern CIOs. The report outlines a shift from assumption-based patching to evidence-based reconstruction. Using Thoughtworks’ AI/works™ platform, organizations can triangulate truth through multiple lenses — including data lineage, integration tracing, and AI-driven binary analysis — to build a comprehensive functional blueprint even when source code is missing.
By restoring visibility, leaders can move from inherited complexity to intentional architecture, sequencing migrations with confidence rather than fear. The ultimate goal is not just to resolve the past, but to ensure systems remain observable and fine-tuned to evolving business needs.
To understand how your organization can escape the legacy black hole, read the report.
