Overcoming Legacy Code, Technical Debt & AI Integration at Scale

Legacy systems, evolving codebases and data silos create a silent tax on engineering velocity—making every release slower and riskier. For finance-tech SaaS companies managing integrations across ERPs and compliance workflows, that friction compounds fast. This brief examines three plays forward-leaning teams are using to tame technical debt, build AI-ready data infrastructure and integrate emerging technologies without eroding trust. From creating technical debt heat maps to establishing governance frameworks that accelerate adoption, you’ll see how companies are converting technical constraints into momentum—recovering 20–30% of engineering bandwidth, achieving faster analytics refresh cycles and scaling AI capabilities with confidence. Whether your focus is accelerating insight delivery, improving release velocity or safely operationalizing AI, these patterns offer practical next steps for the next 90 days.