Case Study: NAES reduces billing time by 50% with EXL’s agentic AI solution

NAES reduces invoice processing time by 50% with EXL

EXL partnered with NAES, a global energy services firm facing inefficiencies in its order-to-cash billing operations. The manual process of matching hundreds of invoice line items to supporting documents was slow, error-prone, and led to delayed billing cycles and frequent last-minute rejections by operations teams, which hampered cash flow.

EXL implemented an agentic AI and Microsoft Power Platform solution to transform the billing process. The AI autonomously matched line items with backup documents, routing only exceptions for human review, while restructuring workflows to involve operations teams earlier. This resulted in an over 85% auto-matching rate and reduced invoice processing time by more than 50%, minimizing rejections and establishing a scalable framework for faster billing.

NAES