Every enterprise digital transformation eventually confronts the same reality: your shiny new AI, automation, or IoT platform needs to talk to systems built in a different era. Legacy integration is where ambition meets reality - and where many projects quietly fail.
The Costs Nobody Budgets For
Data Quality Remediation
Legacy systems often contain decades of accumulated data quality issues - duplicate records, inconsistent formats, missing fields, and orphaned references. Before you can integrate, you need to clean. This alone can consume 30-40% of a project budget.
Undocumented Business Logic
The most dangerous legacy code is the kind nobody understands anymore. Business rules embedded in stored procedures, COBOL programs, and spreadsheet macros often contain critical logic that isn't documented anywhere. Replicating this logic in a new system requires archaeological-level investigation.
Change Management Resistance
People who've built their workflows around legacy systems resist change - often for good reasons. They know edge cases the new system doesn't handle. They have workarounds that actually work. Dismissing their concerns leads to adoption failures.
A Better Approach
At Workforce Next, we treat legacy integration as a first-class concern, not an afterthought. We start by mapping existing systems and their interdependencies, identify the business logic that must be preserved, and build integration layers that work with legacy systems rather than fighting them.
The goal isn't to replace everything - it's to connect everything intelligently.