A top-tier Chinese commercial bank deployed FinTruth across its credit operations to verify every AI-generated credit report before it enters the decision pipeline. The platform now serves approximately 1,000 credit managers daily — replacing hours of manual cross-checking with five-minute automated audits. 中国某头部商业银行在信贷业务条线部署 FinTruth,对每一份 AI 生成的信贷报告进行验证后再进入决策流程。该平台目前日均服务约 1,000 名信贷经理,将过去数小时的人工交叉核对压缩为 5 分钟内的自动化审计。
Four metrics that matter to credit operations leadership. All figures observed across live production reports. 对信贷业务管理层而言最关键的四项指标——均来自生产环境真实报告的观测。
The bank had begun using LLMs to draft credit analysis reports — but the gain in drafting speed was offset by the time credit managers had to spend manually verifying every number, entity, and claim against source documents. 该行已开始使用大模型撰写信贷分析报告——但起草效率的提升,被信贷经理为逐项核对源文件中每个数字、主体与论断所耗费的时间所抵消。
AI-drafted credit reports looked polished — but managers couldn't tell which figures came from real source documents and which were fabricated by the model. Every report had to be hand-verified before it could enter the credit decision pipeline. AI 起草的信贷报告外观规范——但信贷经理无法分辨哪些数字来自真实源文件,哪些是模型虚构的。每份报告进入信贷决策流程之前都必须经过人工核对。
FinTruth inserts a five-minute formal verification step between AI drafting and human review. Every claim is classified as pass / suspect / error, with a clickable evidence anchor pointing to the exact source paragraph. Credit managers review only what FinTruth flags. FinTruth 在 AI 起草与人工审阅之间插入一个 5 分钟的形式化验证环节。每条论断被自动分类为通过 / 存疑 / 错误,并附可点击的证据锚点指向源文件原段落。信贷经理只需复核 FinTruth 标记出的内容。
Anonymized excerpt from an actual production audit. Anything that could identify the borrower has been removed. The financial figures shown are illustrative of the error pattern, not the original data. 来自生产环境真实审计的匿名化片段。所有可识别借款人身份的信息均已移除,展示的财务数字仅用于说明错误模式,非原始数据。
"Leverage analysis indicates an EBITDA-to-total-debt ratio of 0.42, suggesting moderate financial flexibility. On this basis, the credit committee may consider an internal rating of BBB+." "杠杆分析显示EBITDA 与总负债之比为 0.42,表明财务弹性中等。基于此,信贷委员会可考虑给予内部评级 BBB+。"
Three anonymized perspectives from credit managers using FinTruth in production. All quotes paraphrased and anonymized to protect customer confidentiality. 三段来自生产环境一线信贷经理的匿名视角。所有引语经过改写并匿名处理,以保护客户保密性。
Phase 1 covers credit operations. Phase 2 expands the verification layer into adjacent risk-sensitive workflows. 第一阶段覆盖信贷业务条线;第二阶段将验证层扩展至相邻的高风险敏感工作流。
FinTruth deployed across credit report verification workflow. Approximately 1,000 credit managers using the platform daily for AI-drafted credit analysis review. FinTruth 在信贷报告验证流程中完成部署,约 1,000 名信贷经理日常使用该平台审核 AI 起草的信贷分析报告。
Expand the verification layer beyond credit operations into the bank's risk management and internal audit functions — wherever AI-generated documents enter risk-sensitive decision workflows. 将验证层从信贷业务条线扩展至该行的风险管理与内审部门——任何 AI 生成的文档进入高风险敏感决策工作流的场景,都将受益于这一能力。
Book a live demonstration. We'll audit a real AI-generated report from your team in 15 minutes — and show you exactly what the model got wrong. 预约一场实时演示。我们将在 15 分钟内对您团队的一份真实 AI 报告进行审计,并明确指出模型在哪里出错。