XPndAI builds AI agents that read trade finance document sets — Letter of Credit, commercial invoice, bill of lading, packing list, certificate of origin, inspection certificate — extract structured data from each, cross-check for UCP 600 discrepancies, and generate a structured review report for your trade finance team. Banks, corporates, and exporters.
Trade finance teams manually compare a 5–8 document set against the LC terms. A single presentation can take 2–4 hours per experienced checker. At volume — 50–200 presentations/month — this is a bottleneck that delays payment and ties up senior staff.
Under UCP 600, a discrepancy in the document set (wrong date, mismatched description, missing endorsement) allows the bank to refuse payment. An uncaught discrepancy means a rejected presentation, delayed payment, and additional bank charges. Manual checking misses 15–25% of discrepancies.
An export transaction from India to the UAE may have an Arabic LC, English invoice, Chinese bill of lading, and Spanish certificate of origin. Manual checking across languages is error-prone and requires specialized staff.
XPndAI builds the entire agent workflow. Not an integration project. Not a POC. A production system with your data, your policies, your integrations — handed over with source code.
SWIFT MT 700 series message parsing — MT 700, 710, 720 (LC issuance/advice), MT 750 (discrepancy advice), MT 754 (payment advice), MT 760 (bank guarantee). Structured extraction from raw SWIFT message text.
FLEXCUBE Universal Banking, Finastra Trade Innovation, Bolero, essDOCS, SAP Treasury — integration via API or database. Custom connectors built for proprietary trade finance platforms.
English, Arabic, Hindi, Chinese (simplified), French, Spanish — all supported. Certificate of origin in Arabic (UAE/Gulf), inspection certs in Chinese from Chinese exporters — all extracted accurately.
Bill of lading cross-reference against carrier APIs (Maersk, MSC, COSCO) for vessel verification. Container tracking data integration available for shipment status confirmation.
India: DGFT export licence, ECGC insurance, Authorized Dealer (AD) Code cross-check. UAE: Dubai Customs, DP World Jebel Ali documentation — all supported as additional document types.
All documents processed in encrypted pipelines. UAE hosting option available (UAE national cloud or on-prem). SWIFT Alliance Lite2 compatible environments supported. SOC 2-aligned architecture.
Built for the regulatory environment your business operates in. Not a generic AI product retrofitted for compliance — compliance is designed in from architecture phase.
| Factor | XPndAI (Custom Build) | Manual Document Checking (industry standard) |
|---|---|---|
| Approach | AI-assisted checking — human checker reviews AI output | Fully manual document-by-document comparison |
| UCP 600 coverage | All material articles checked systematically | Depends on individual checker knowledge |
| Speed per presentation | 15–25 minutes (AI check + human review) | 2–4 hours per presentation |
| Multilingual documents | Arabic, English, Chinese, French supported | Requires specialist staff per language |
| Discrepancy miss rate | < 5% estimated (AI systematic check) | 15–25% industry average (manual) |
| Audit trail | Full AI + human decision log per presentation | Manual notes / email chain |
| Source code | 100% yours at handover | N/A — custom build |
All XPndAI builds are fixed price. No T&M billing. No open-ended scope. Discovery workshop → system spec → fixed quote → build. Source code handed over at project close.
AI trade finance document intelligence is the application of AI document extraction and cross-checking to the trade finance document examination process. In a typical Letter of Credit (LC) transaction, the beneficiary presents 5–8 documents to the bank (invoice, bill of lading, packing list, certificate of origin, inspection certificate). The bank's trade finance team must check that all documents conform to the LC terms and comply with UCP 600 rules. AI trade finance document intelligence automates this check — extracting data from each document and systematically applying UCP 600 rules — reducing checking time from hours to minutes and reducing discrepancy miss rates.
UCP 600 (Uniform Customs and Practice for Documentary Credits, 2007 revision) defines the rules banks apply when examining documents under a Letter of Credit. XPndAI's trade finance AI agent applies the key UCP 600 articles systematically: Article 14 (standards for examination), Article 18 (commercial invoice — amount, goods description), Article 20 (bill of lading — port match, date, endorsement), Article 28 (insurance documents), and all document-specific requirements. For each LC presentation, the AI generates a per-article check result (pass/warning/fail) with the LC requirement and document finding stated — which the human checker then reviews and approves or overrides.
Yes. XPndAI Extract handles Arabic, English, Chinese (simplified), French, and Spanish trade documents. A common scenario in India-UAE trade: the LC is issued by a UAE bank in Arabic, the commercial invoice is in English, and the bill of lading is issued by a Chinese carrier with Chinese vessel names. Extract AI processes each document in its original language and maps the extracted fields to a common schema for cross-checking. Arabic LC field names (including RTL text) are correctly mapped to the equivalent English field names in the cross-check engine.
A basic implementation covering one trade corridor (e.g., India-UAE, English + Arabic documents) with 5 document types and a human review interface takes 8–12 weeks. A bank-grade system with SWIFT MT 700 parsing, FLEXCUBE or Finastra trade system integration, multilingual support, and full compliance audit trail takes 16–24 weeks. The first step is a 2-week document corpus analysis — XPndAI reviews 100–200 of your actual trade document sets to understand the document variations, languages, and LC term patterns before building the extraction models.
Send us 10 sample LC presentations (anonymised). We review your document corpus and give you a fixed-price proposal.
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