Case Study - Trade Finance

Trade finance team reduced analyst workload by 50 percent

An Asia-Pacific trade finance company used the AI Data Room to assess unstructured documents in local languages. Analyst workload fell by 50 percent and files handled per analyst doubled.

Risk Llama trade finance data room connecting customer documents, evidence and assessment records

The Impact

Results from the document review workflow

These results apply to the trade finance workflow and operating context described in this case study.

50%

Less analyst workload

2x

More files per analyst

24/7

Supply chain threat monitoring

The Problem

Document checks slowed funding decisions

The company provides working capital to small and medium-sized enterprise suppliers across several Asia-Pacific markets where consistent data was limited.

Pain Point

Documents required manual checks

Analysts manually reviewed unstructured documents in several local languages. The work increased the time and operational cost required to prepare each case.

Pain Point

Funders needed reviewable evidence

Institutional funders required documented compliance checks and supporting evidence. Spreadsheet-based processes made it difficult to present a consistent case for review.

The Solution

Risk Llama connected document checks and monitoring

The deployment used the AI Data Room for document review and Market Watch for supply chain signals, with outputs retained for analyst and funder review.

The AI Data Room

Translate and check each document

The AI Data Room processed and translated the unstructured documents. It returned sanctions and ultimate beneficial owner check results with evidence for analysts to review.

Trade finance document workspace organising customer and transaction evidence for analysis
Supply chain risk heat map beside a weekly Market Watch impact summary

Market Watch

Monitor supply chain risk signals

Market Watch monitored external supply chain signals 24/7. The team could review relevant changes alongside the company and document records used in each case before deciding next steps.

Investor Cases

Prepare evidence for funder review

The workflow produced structured investor cases with the supporting evidence required by the company’s institutional funders. Analysts reviewed the case before sharing it with the funder.

Compliance reporting dashboard showing evidence, completion and high-risk findings

Powered By

Powered by the AI Data Room

The AI Data Room supports document assessment workflows for onboarding, due diligence and underwriting in Risk Llama.

Risk Llama

Review trade finance documents with connected evidence

See how Risk Llama supports multilingual document review, configured checks and supply chain monitoring while analysts retain final judgement.

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