How does EASL support modernization, cloud migration, and AI/ML initiatives?

Modernization efforts break down when data from older systems can’t be extracted cleanly or transformed consistently. EASL was designed to handle those conditions. The platform connects to legacy environments, reshapes data into modern models, and delivers it to cloud warehouses or AI pipelines without forcing a full system overhaul. 

As organizations adopt AI/ML, they often discover that data readiness is the real obstacle. EASL accelerates that work by producing clean, current, structured outputs that downstream systems can rely on, which shortens the path from experimentation to production.