Document AI · Trade

Trade paperwork, read by a system that cross-references itself.

An automated document processing system that reads Letters of Credit, Bills of Lading, and commercial invoices then cross-checks them against each other to ensure complete accuracy.

Manually verifying Letters of Credit and invoices takes hours per application. A single data entry error can cause payment failures and compliance risk. We built a system that processes complex document sets in seconds, cross-checks every field, and keeps a full record of its reasoning.

Unstructured documents,
structured financial risk.

Every trade finance application starts with a stack of PDFs, scans, and forms that don't talk to each other. Officers spend hours matching Letters of Credit against invoices against Bills of Lading.

4h

Per application

Trade finance officers spend up to four hours manually matching documents for a single application.

2–5%

Error rate

Data entry errors from unstructured documents lead to payment failures.

0

Scalability

Manual entry cannot handle sudden spikes in trade volume without breaking down.

0

Audit trail

Zero digital record of who verified what. When OJK or internal audit asks, there is no trail.

Two phases. From shadow testing to automatic processing.

We don't start at full autonomy. The system earns its confidence in a four-week Shadow Sandbox then graduates to automatic processing for high-confidence documents.

Hover a step to see it in action
Phase 01
Shadow Sandbox
The system operates alongside officers. Every extraction is verified by a human.
Phase 01
Benchmark
Accuracy measured against 1,000+ real trade documents. Zero risk to core banking.
Phase 02
⟳ 95%+ confidence
Automatic processing
High-confidence documents flow directly into your core banking system.
Phase 02
⟳ review by exception
Officers escalate
Only uncertain results reach human review. 10x throughput without new headcount.

Banking-grade infrastructure. 99.9% uptime. Full explainability.

What your team actually sees.

Live dashboard — document queue, extraction confidence, and cross-check results in one view.

Trade Docs Dashboard

What the system actually delivers.

Pillar
Before
After
Turnaround
Hours per application
75% reduction
Accuracy
2–5% error rate
Zero data entry errors
Transparency
No audit trail
100% traceable
Resilience
Breaks on spikes
99.9% SLA
  • 75% TAT reduction

    Document turnaround time drops by three quarters, accelerating trade financing cycles.

  • Zero data entry errors

    The system cross-checks LCs, invoices, and shipping documents catching mismatches before they become liabilities.

  • 100% digital transparency

    Full reasoning reports for every extraction. Built for P2SK Law and OJK compliance.

  • 10x throughput

    Scale trade operations without scaling headcount. The system absorbs volume spikes automatically.

trade.

Unify your trade intelligence.

Four weeks of Shadow Sandbox testing. The system runs alongside your officers, learning your specific trade document types, with zero risk to core banking systems.

4-week pilot

Shadow Sandbox assessment

The system learns alongside your trade officers. Every result is human-verified. Tested against 1,000+ real documents.

Document AI · Trade

Trade paperwork,
read by a system that
cross-references itself.

An automated document processing system that reads Letters of Credit (bank guarantees for trade payments), Bills of Lading (shipping receipts), and commercial invoices then cross-checks them against each other to ensure complete accuracy.

Manually verifying Letters of Credit and invoices takes hours per application. A single data entry error can cause payment failures and compliance risk. We built a system that processes complex document sets in seconds, cross-checks every field, and keeps a full record of its reasoning deployed on banking-grade infrastructure with 99.9% uptime.

Unstructured documents,
structured financial risk.

Every trade finance application starts with a stack of PDFs, scans, and forms that don't talk to each other. Officers spend hours matching Letters of Credit against invoices against Bills of Lading. A single mismatch means delays. A single typo means financial exposure.

4h

Per application

Indonesian trade finance officers spend up to four hours manually matching Letters of Credit, invoices, and Bills of Lading for a single application.

2–5%

Error rate

Data entry errors from unstructured documents lead to payment failures.

0

Scalability

Manual entry cannot handle sudden spikes in trade volume without breaking down.

0

Audit trail

Zero digital record of who verified what. When OJK or internal audit asks why a data point was accepted, there is no trail to show them.

Two phases.
From shadow testing to automatic processing.

We don't start at full autonomy. The system earns its confidence in a four-week Shadow Sandbox a safe testing environment where it runs alongside your officers with no impact on live operations then graduates to automatic processing for high-confidence documents.

Hover a step to see it in action
Shadow Sandbox , system operates alongside officers Benchmark , accuracy measured against real documents Automatic processing , high-confidence documents flow directly Officers escalate , only uncertain results reach human review
Phase 01
Shadow Sandbox
The system operates alongside officers. Every extraction is verified by a human before it counts.
Phase 01
Benchmark
Accuracy measured against 1,000+ real trade documents. Zero risk to your core banking systems.
Phase 02
⟳ 95%+ confidence
Automatic processing
High-confidence documents flow directly into your core banking system no manual entry needed.
Phase 02
⟳ review by exception
Officers escalate
Only uncertain results reach human review. 10x throughput without new headcount.

Runs on secure AWS cloud infrastructure with dedicated processing power, document reading (Amazon Textract), and built-in explainability so every decision has a clear reasoning trail. Banking-grade. 99.9% uptime.

What your team actually sees.

Live dashboard , document queue, extraction confidence, and cross-check results in one view.

Trade Documents dashboard showing document processing queue, cross-validation results, and confidence scores

What the system
actually delivers.

Pillar
Before
After
Turnaround
Hours per application
75% reduction
Accuracy
2–5% error rate
Zero data entry errors
Transparency
No audit trail
100% traceable
Resilience
Breaks on spikes
99.9% SLA
  • 75% TAT reduction

    Document turnaround time drops by three quarters, accelerating trade financing cycles.

  • Zero data entry errors

    The system cross-checks Letters of Credit, invoices, and shipping documents catching mismatches before they become liabilities.

  • 100% digital transparency

    Full reasoning reports for every extraction. Built to meet P2SK Law (Indonesia's data protection regulation) and OJK (financial authority) compliance requirements.

  • 10x throughput

    Scale trade operations without scaling headcount. The system absorbs volume spikes automatically.

trade.

Unify your
trade intelligence.

Four weeks of Shadow Sandbox testing. The system runs alongside your officers, learning your specific trade document types, with zero risk to core banking systems. Once it reaches 95%+ accuracy, we move to automatic processing.

4-week pilot

Shadow Sandbox assessment

The system learns alongside your trade officers. Every result is human-verified. Tested against 1,000+ real documents.