Product

Digital TradeCompliance intelligence

AI-assisted digital trade compliance Platform

What we built

A hybrid AI framework for pre-screening of carbon, origin, and traceability records within digital trade compliance workflows.

About the platform

Digital Trade Compliance intelligence

AI-assisted operational intelligence for digital trade governance, providing explainable compliance screening, fraud and batch-risk intelligence, and jurisdiction-aware triage. The platform performs real-time diagnostic analysis of uploaded trade data to identify elevated-risk records, compliance inconsistencies, and operational review priorities at first scan. No uploaded data is permanently stored within the platform environment.

What it is

The platform supports modern digital trade governance: cross-border compliance, carbon and disclosure pressures, traceability expectations, and demand for interoperable, explainable systems. Hybrid AI, rules-based reasoning, fraud intelligence, and operational analytics help teams surface high-risk records, prioritise review, and improve governance visibility — with humans in the loop.

It aligns with ICC Digital Trade Toolkit semantics and applies explainable AI in compliance orchestration, sustainability context, and trade decision support — without replacing legal judgment or jurisdictional advice.

Research direction

The programme addresses enterprise operational compliance intelligence: transparent, scalable digital trade governance that supports operational and supervisory decision-making — with explicit scope boundaries. Full disclosure narrative on Research.

  • Explainable trade governance workflows
  • AI-assisted compliance review orchestration
  • Fraud and anomaly intelligence
  • Sustainability and carbon-aware screening context
  • Interoperable digital trade systems
  • Enterprise-ready operational intelligence environments

Platform philosophy

AI that supports governance and compliance should favour transparency, explainability, operational usability, and human oversight — not opaque automation.

The emphasis is predictive and evidential: visible reasoning, clear workflows, and review support operators can act on — alongside model outputs, not hidden behind them.

Context

Filings outpace manual review

Carbon-border rules, traceability claims, and digitised customs widen what must be read as one coherent dossier. Checking fields in isolation stops working at volume.

The product front-loads intelligence: hybrid scoring surfaces posture, explainability supports escalation, and reviewers retain authority. The live system of record is the workspace; this page is the executive overview.

Capabilities

What the workspace delivers

Six production modules, delivered as one stack. Full capability breakdown on Platform.

ICC-aligned trade data

Declarations and proofs normalised to interoperable expectations — field fidelity and completeness surfaced in operator-grade views.

Hybrid compliance scoring

Rules and models run together behind explicit governance bands so screening stays reviewable and auditable.

Fraud & batch intelligence

Record-level risk alongside cohort signals — duplication, corridors, and bursts surfaced for supervisory triage.

Explainable analytics

Narratives and drivers packaged with scores so reviewers receive decision-ready packets, not opaque totals.

Jurisdiction & review queues

Routing and market context for triage, plus severity-ranked queues and disposition language aligned to your process.

Operational risk posture

Screening cadence, data fitness, and exportable artefacts for audit, supervisory review, and partner assurance.

Pipeline

From file to disposition

Eight production stages from intake through disposition — executed end-to-end in the workspace.

  1. 1Upload trade data
  2. 2Schema intelligence
  3. 3ICC transformation
  4. 4Hybrid compliance scoring
  5. 5Fraud & batch intelligence
  6. 6Explainability generation
  7. 7Review queue
  8. 8Governance decisions
Start in the workspace →

Research

Research & assurance

Methodology, interoperability stance, and governance disclosures are documented on Research and in release materials — aligned with what the shipped product does today.

Workspace

Production UI — live components

The chrome below is taken from the shipping workspace. This marketing view omits customer data; behaviour matches a signed-in session before a cohort is selected.

Open workspace

Workflow

Screening phases

Progress updates automatically while screening runs. This list is read-only.

Ready
  1. Ready
  2. Secure intake
  3. Field alignment
  4. Trade alignment
  5. Data fitness
  6. Fraud intelligence
  7. Batch analytics
  8. Calibrated scoring
  9. Severity disposition
  10. Review preparation
  11. Narratives & rationale
  12. Release & audit

Decision surface

No screening results yet

Standard idle state when no screened cohort is loaded — the same prompt analysts see in production after sign-in.

Workspace home

Investigation chrome

Investigation workspace

Prioritised review console

Queue rank
Declaration
Severity
Confidence band
Calibrated score
Evidence

Rows populate once screening hydrates prioritised exposures — workspace UI is unchanged in production runs.