FVL-2048
Delivery completed · billing blocked
- Delivery completed09:14
- Proof missing09:16
- Signed POD found09:17
- Waiting-time rule matched09:18
- €240 charge prepared09:18
- Approval required09:19
OPERATIONS-TO-REVENUE AI
Datlas connects orders, events, evidence and contract rules to resolve exceptions and prepare completed work for billing.
Starting with logistics, customs and global trade.
Start with one fragmented, revenue-critical process.
Delivery completed · billing blocked
Operational problem
The facts exist across emails, documents, portals and operational systems. The billing case still has to be reconstructed.
Scattered
Incomplete
Reconstructed
What Datlas runs
Give Datlas one fragmented process across inboxes, documents, portals and systems. It finds the evidence, resolves the exception and prepares the next governed action.
Find performed work, missing evidence and chargeable exceptions before invoice creation.
Assemble proof, responsibility context and customer-ready case files.
Identify incomplete declarations, missing evidence and eligible cases for expert review.
One end-to-end workflow
FVL-2048 appears once, as the product centrepiece: source, evidence, rule, prepared action and approval state in one workspace.
Datlas reads the completed transport event and keeps the original TMS record attached to the case.
Results
Early workflow observations. Results vary by process and scope.
Governance
Provenance, permissions, approval and audit are built into every consequential workflow.
Datlas reads sources, identifies gaps and keeps provenance attached.
Messages, updates and billing candidates are prepared for review.
Approved actions run inside defined policies and remain logged.
Shipment events, POD, surcharge, pre-billing and customer updates are the first operational wedge.
Declarations, supporting documents, supplier portals and expert review queues.
Transaction-heavy work where operational execution and financial consequence live apart.
DATLAS WORKFLOW REVIEW
We map one revenue-critical workflow, identify the evidence and systems involved, and define the first narrow Datlas deployment.
The best first workflow already has operational pain, revenue consequence and human validation pressure.