AI Agents

Context

Built for banking within the Trade Finance Invoice Factoring stack and used by Trade Finance and Risk/Ops teams, this agent sits at the end of the control chain. Its role is simple: when earlier checks raise red flags or unclear situations, it aggregates those signals in one place and clarifies next steps, instead of leaving people to stitch together findings across multiple tools and emails.

What it does

The agent collects outputs from all upstream trade finance controls on a case—invoice eligibility, line-item subsidy checks, supporting document completeness, delivery confirmation, and supplier validation—and assembles them into a single exception view. It groups and ranks red flags by severity and type, highlights conflicts or gaps, and then proposes concrete actions for the operator: for example, “request clarification from client on X”, “escalate to risk due to Y”, or “approve with condition Z”. The outcome is a clear, guided path through each exception rather than a pile of partial alerts.

Core AI functions

The core capability is exception aggregation and decision support. The agent interprets structured rule outcomes and narrative notes from the other agents, classifies and prioritises issues, and maps them to a small set of bank-approved resolution options. It is not a replacement for human judgement; it turns scattered red flags into a coherent recommendation that humans can accept, adjust, or override with a documented rationale.

Problem solved

Today, exception handling in trade finance is often fragmented. One team sees a document gap, another spots a delivery inconsistency, a third worries about the supplier—but there is no single place where these concerns are brought together and turned into a clear “so what, now what?”. As a result, exceptions linger, get bounced between teams, or are resolved inconsistently, and audit trails for tricky cases are thin. The Trade Finance Exception Handler closes this gap by centralising red flags and prescribing the next best action.

Business impact

The immediate impact is faster resolution of blocked or ambiguous cases and higher control confidence. Operators spend less time chasing information across systems and email threads, and more time actually resolving exceptions; risk and compliance teams see a more consistent, documented treatment of red-flagged invoices; and front office gets clearer answers on what’s needed to move a deal forward. Over time, this shortens cycle times on exceptions and strengthens the bank’s ability to defend its decisions on complex or borderline trade finance cases.

Integration and adjacent use cases

Integration complexity is low: the agent reads exception and rule outputs from the other trade finance agents and core systems, attaches its consolidated exception view and recommended actions back into the trade finance workflow, and logs final decisions and rationales for audit.

Common combinations in this stack:

• Invoice Eligibility Validator to detect double-financing, ineligible buyers, or inconsistent invoice data;

• Line-Item Subsidy Filter to highlight where only parts of the invoice qualify under a subsidy or support scheme;

• Supporting Documents Completeness (Trade) to flag missing or poor-quality purchase orders and delivery notes;

• Delivery Confirmation Verifier to surface mismatches between invoice details and proof-of-delivery documents; and

• Supplier Contract & Identity Validator to bring in red flags on shell or blocked suppliers, expired contracts, or non-approved vendors that must be resolved before financing proceeds.