AI Agents

Context

Built for banking within the Trade Finance Invoice Factoring stack and used by Trade Finance teams, this agent focuses on a simple but crucial checkpoint: whether the supporting documents for an invoice—especially purchase orders and delivery notes—are actually there and in usable form before disbursement.

What it does

The agent runs a structured completeness check on each trade finance pack, validating that the relevant purchase orders and delivery notes have been provided and correctly attached to the invoice. It checks presence, basic quality and readability, and that the documents are properly linked to the right invoice or financing request. The outcome is a clear completeness status written into the trade finance workflow, so teams see whether supporting documents are in place or what specifically is missing before funds are advanced.

Core AI functions

The core capability is checklist plus QA. The agent encodes your document requirements for invoice factoring into a simple rule set, evaluates each case against that set, and applies basic quality checks on the attached POs and delivery notes. It turns what is usually a manual “did they send us everything?” review into a consistent, machine-driven control.

Problem solved

Missing proofs of delivery and incomplete PO packs slow down disbursement and create rework. Files bounce back to the front office or client for “one more document,” operations teams repeatedly rediscover the same gaps, and some cases advance without the right documentation at all. The agent standardises this check so missing or poor-quality supporting documents are caught early and explicitly, rather than discovered late or inconsistently.

Business impact

The direct impact is faster, cleaner disbursement. Trade Finance teams spend less time hunting for missing POs or delivery notes and can move complete packs through more quickly, while incomplete ones get precise, actionable feedback. That shortens turnaround times on eligible invoices and reduces the risk of financing transactions where the basic supporting trail is not in place.

Integration and adjacent use cases

Integration complexity is low: the agent needs access to invoice-level trade finance cases and their attached documents, and it writes its completeness status and findings back into the same system.

Common combinations in this stack:

• Invoice Eligibility Validator to confirm invoice authenticity and overall eligibility for factoring;

• Line-Item Subsidy Filter to apply program eligibility at invoice line level;

• Delivery Confirmation Verifier to match delivery confirmations and signatures against the financed invoice;

• Supplier Contract & Identity Validator to check the underlying supplier contracts and status; and

• Trade Finance Exception Handler to aggregate red flags from all these checks and propose next steps when a pack is unclear or blocked.