Sagility Cuts $6M in Annual Late Payment Costs with ABBYY Process AI

Sagility, a global healthcare solution and services provider, helped a U.S. health insurance client tackle one of its biggest pain points: late payment interest penalties. By implementing ABBYY process intelligence, Sagility uncovered hidden bottlenecks in claims workflows to deliver $6M in savings in the first year.

For U.S. health insurers, medical claims must be reimbursed within 60 days of submission. Each day beyond that deadline triggers compounding penalties—and for one of Sagility’s major insurer clients, those delays were costing more than $50 million annually.

The source of the delays wasn’t obvious. On paper, the insurer’s processes looked sound, but in practice, limited visibility masked inefficiencies. Each claim had multiple history and footprint, which was highly complex, and a multi-departmental workflow spanning prepay, post pay, and more. Along the way, teams had to manage data standards and compliance.

With so many handoffs, traditional reporting simply couldn’t reveal where delays occurred or why. To get insight into the insurer’s true processes, Sagility turned to a process mining tool from ABBYY.

• $6M saved in first-year late payment penalties
• Streamlined claims management cycle
• Reduced administrative costs