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Case Study

MET Holding

AI-Native Document & Verification Operations

Dubai-based trade finance and corporate services firm handling high-value cross-border instruments, SBLC packages, bank guarantees, and partner-bank submissions.

MET Holding
SBLC
KYC/AML
Audit
$250M+

processed in first quarter

30→15

days verification cycle

70→85%

bank acceptance rate

92%

less manual screening

Operational Shift

From document chasing to a self-running verification layer.

AI-native verification operation

15 days

verification cycle

$250M+

first-quarter volume

85%

bank acceptance

3 days

audit prep

MET Holding's work is document-heavy by nature. Each transaction depends on identity records, corporate files, financial statements, bank references, ownership documents, and instrument-specific paperwork.

Before REPCONN, verification meant long manual review cycles, repeated document chasing, and bank submissions that could fail because of small but expensive gaps.

REPCONN rebuilt the workflow as an AI-native document and verification operation. The system reads, parses, screens, validates, and organizes transaction evidence while people handle only judgment calls and escalations.

The Challenge

High-value trade finance was bottlenecked by paperwork.

01

Every transaction was a document project

SBLCs, bank guarantees, letters of credit, corporate documents, passports, financial statements, property files, and bank references had to be collected, checked, compared, and formatted before submission.

02

Verification was slow and expensive

A single transaction could require 30+ days of manual review across jurisdictions, document versions, stakeholder emails, and partner-bank requirements.

03

Bank submissions failed on avoidable gaps

Each partner bank had different expectations. Missing fields, inconsistent ownership data, outdated documents, and formatting issues created rejection-resubmission cycles.

04

Audit preparation took weeks

Files were spread across email, shared drives, and manual trackers. Preparing a clean audit package could take three weeks because every document action had to be reconstructed.

Our Solution

One operating layer for documents, risk, bank readiness, and audit.

REPCONN connected document AI, computer vision, KYC/AML checks, sanctions screening, bank-specific validation, secure storage, and audit trails into one managed workflow.

System 01

Document Intelligence Layer

REPCONN built a document processing layer that reads passports, corporate certificates, financial statements, and trade finance packages across five languages.

What changed

Computer vision for scanned documents

AI extraction for names, entities, dates, values, and identifiers

Structured transaction files from unstructured uploads

Document completeness checks before submission

Document engine

Passports

Passport scans and identity documents are read, extracted, and compared against client records and screening requirements.

System 02

KYC, AML, and Sanctions Screening

The verification workflow screens people, entities, beneficial owners, and transaction patterns before bank submission, with escalation paths for judgment-heavy cases.

What changed

KYC and beneficial ownership checks

PEP, adverse-media, and sanctions screening

Risk flags for enhanced due diligence

Screening aligned to FATF and US sanctions standards

Verification loop

Extract

Computer vision and document AI extract names, entities, ownership details, dates, values, and document identifiers.

System 03

Bank-Ready Submission Workflow

REPCONN standardized transaction packages so MET Holding could prepare cleaner first submissions and reduce costly bank rejection cycles.

What changed

Bank-specific documentation checklists

Missing-field and inconsistency alerts

Version control for every transaction file

Submission packages prepared from one source of truth

System 04

Secure Audit Repository

All transaction materials, review actions, approvals, and document changes are kept in a secure repository designed for fast internal review, partner-bank questions, and audit preparation.

What changed

AES-256 encryption and role-based access

Full audit trails for file access and approvals

Transaction history retrievable in minutes

Audit prep reduced from three weeks to three days

Results

Faster verification, cleaner bank packages, and more volume through the same team.

$250M+

Processed in first quarter

The system supported more than $250M in high-value trade finance transaction volume in the first quarter after deployment.

15 days

Verification cycle

Average verification time moved from roughly 30 days to 15 days by automating document extraction, completeness checks, and screening work.

85%

Bank acceptance rate

First-submission acceptance improved from 70% to 85% as document packages became cleaner, more complete, and more consistent.

92%

Less manual screening time

Routine sanctions, identity, and document screening shifted from manual review to an AI-native verification workflow.

3 days

Audit prep time

Audit preparation dropped from three weeks to three days because transaction files, approvals, and evidence trails became instantly retrievable.

5

Languages supported

Document AI and computer vision process trade finance, identity, and financial documents across five languages.

Risk & Compliance Controls

Compliance built into the document workflow.

The operating layer was built with AES-256 encryption, role-based access, full audit trails, KYC/AML screening, PEP and adverse-media checks, and sanctions screening aligned to FATF and US sanctions standards.

Verification loop

Extract

Computer vision and document AI extract names, entities, ownership details, dates, values, and document identifiers.

SBLC & SWIFT Context

Real SBLC work happens through banks, with MET coordinating the document operation.

A standby letter of credit is a bank-issued undertaking used to support payment or performance obligations. MET Holding was not the issuing bank and did not replace the bank-to-bank process. Its role was to coordinate the client-side transaction file: collecting documents, preparing bank-ready packages, managing verification, and supporting the compliance workflow around the instrument.

SBLC work remains bank-to-bank: the applicant requests the instrument, the issuing bank sends the authenticated SWIFT message, the receiving or advising bank receives it, and the beneficiary relies on the bank undertaking. MET Holding's workflow required strict document verification, bank-ready files, and direct coordination around real banking rails.

REPCONN supported workflows involving major institutions, including Deutsche Bank as issuing bank and First Abu Dhabi Bank as receiving bank, with controls designed for SWIFT-compatible documentation and review.

Bank-to-bank flow

Applicant

Buyer or borrower requests SBLC

MET Holding

Coordinates client-side documents, verification, and bank-ready transaction file

Issuing Bank

Issues the undertaking

SWIFT MT760

Authenticated SBLC message

Receiving Bank

Receives or advises the instrument

Beneficiary

Seller or lender relies on the bank undertaking

MT760

Issues the SBLC and creates the bank undertaking.

MT799

Authenticated free-format readiness or information message. It is not an SBLC.

MT767

Amends an existing guarantee or SBLC, such as amount, expiry, or terms.

The verification operation runs continuously. People only step in for judgment calls, escalations, and relationship decisions.

Confidentiality Notice

Specific partner-bank requirements, client identities, transaction files, risk rules, and internal system configurations are not published. Metrics represent rounded public-facing outcomes from the engagement.

Get Started

Want a document-heavy operation to run like this?

We assess your current document workflow, identify where AI-native systems will have the highest impact, and build the operating layer around your risk, audit, and revenue requirements.