Dispute resolution often stalls at the evidence-gathering stage, where businesses must process documents from customers and merchants before assessing claims. Each dispute generates varied formats—invoices, screenshots, email threads, delivery confirmations, photographs, and transaction logs—creating a significant operational burden at scale. Many businesses still handle this manually, requiring teams to open, read, interpret, and cross-reference documents one by one across different systems. The number of chargebacks globally is expected to grow 37% from 2025 to 2029, reaching 359 million transactions annually, which may lengthen supporting documentation lists. Documents arrive in different formats, structures, and completeness levels, often requiring context or judgement. Manual review works at a small scale, as humans handle complexity and nuanced decisions well, but they are not designed to process large volumes of unstructured information repeatedly and at speed. Information must be cross-referenced against transaction data, customer history, and scheme requirements, and without document intelligence, the process slows down.