Box 用 GPT-6 Astra 处理贷款修订的复杂推理
演示中 Astra 读 23 份文件判断哪些贷款方可投票，纠正初步统计并发现豁免未覆盖的违约条款。
We put GPT-6 Astra from @OpenAI to work on some of the hardest reasoning in enterprise knowledge work, untangling conflicting records and different approval requirements across a complex loan amendment. In this Box Agent demo, Astra reviews 23 documents to determine which lenders can vote on a loan amendment. It corrects the preliminary tally and shows why the base amendment has enough consent while changes to pricing, maturity, and collateral do not. It also identifies a covenant breach that an earlier waiver doesn’t cover and saves a source-cited readiness report back to Box for human review. Customers can build custom agents for their own document-heavy lending workflows with Box AI Studio.