FreightCierge™: AI-filtered declaration assurance

Global trade assurance is slowed by fragmented document workflows. Declarations depend on invoice, bill of lading, certificate of origin and contract terms that are issued and amended by different parties, in different systems. When they don’t match, teams fall back to periodic, labour-intensive reviews and late exception handling — driving duplication, delays, higher cost, and border congestion.

KATLAS deployed FreightCierge™ as a working module to turn document handovers and container events into audit-ready evidence.

• Specialists apply AI to score the likelihood of mismatch and prioritise the cases that warrant review.

• FreightCierge turns that score into accountable workflow: purpose-bound exchanges, exception routing, and signed receipts for each request, decision, and update — compiling a declaration-ready evidence pack without centralising commercially sensitive data.

• Near real-time triage: move from quarterly bulk reconciliation to continuous filtering of likely mismatches.

• Lower review overhead: teams focus on the small subset of high-risk declarations.

• Faster clearance, fewer disputes: exceptions are surfaced earlier, with clear accountability and supporting evidence.

• Audit-ready assurance: authorities and operators can verify what was checked, what changed, who approved, and why a declaration was considered “ready” — without a shared data lake.