Service agents had to collect, verify, and transfer insurance claim data from PDFs, invoices, and internal systems manually. This created repetitive work, slower claim payments, and more room for data-entry errors.

An AI claims workflow uses OCR, document understanding, RPA bots, validation rules, and system integration. It extracts claim and invoice data, checks it against business rules, transfers information between systems, and routes unclear or exceptional cases to employees.

• 100k+Invoices processed automatically
• 2 hrs → 20 min/dayManual corrections
• 2+ FTEEffort saved
• Employees freed from repetitive claim and invoice processing work

Benchmarks are based on the original deployment; outcomes vary by process volume, complexity, and implementation scope. Similar workflow patterns can apply to businesses of different sizes.