/ AI for Logistics & Operations · For operations, finance, and logistics leaders
For the problems a chatbot cannot touch.
Answering messages is the easy layer. Underneath it, AI can read trade documents, reconcile them against each other, watch thousands of moving orders, and prepare decisions for your team to approve. This page shows that work. Everything below is a simulation; every capability is something we build.
01 / Shipping & logistics: trade documents and delivery
The shipping container that did not wait at the port.
A vessel is three days out. A shipment file just arrived by email: four documents, four chances for an expensive mistake. Watch what happens before anyone at your office opens the attachment.
0 days · AED 0
Demurrage accrued
Reading the file
Cross-checking every document against every other
Container number consistent across all four documents
Declared value matches invoice total and terms
Carton count mismatch: Bill of Lading says 470, Packing List says 480Ten cartons unaccounted for. At the port, this is an inspection and a queue. Today, it is an email to the shipper.
HS code does not match the goods descriptionWrong code means wrong duty, and a possible reassessment with penalties. Corrected code suggested for review.
Certificate of origin valid and consistent with shipper details
Customs declaration draft ready two days before the vessel berths.
Flags resolved in time Demurrage accrued: noneAfter clearance: the same brain runs the deliveries
60
Drops scheduled and sequenced
8
Routes planned for the fleet
1
Failed delivery, rerouted automatically
59
Proof-of-delivery photos filed
14:20 · Drop 31 failed: receiver unavailable. Rescheduled for tomorrow 10:00, route resequenced, no other drop delayed.
14:21 · تم تحديد موعد جديد للتسليم غدا بين الساعة ١٠ و ١٢ ظهرا. شكرا لتفهمكم.
18:05 · Day closed: 59 of 60 delivered. PODs filed to the order records. Tomorrow's manifest already drafted.
Simulation with illustrative figures. Port procedures vary; the checks shown are configured per client, carrier, and customs channel.
02 / How it is built
The architecture, for whoever you send to vet us.
No magic, no black box. Five layers, each one inspectable, with a human approval gate wherever money or commitments move.
Channelswhere work arrives
Agent layerreading, reasoning, language
Approval gateswhat always waits for a human
Integration layerhow it touches your systems
Your systemsyour data, your ownership
Approval gates are the feature. The AI prepares; your people approve. That boundary is written down in the scope before we build.
Built on your stack, not ours. We integrate with the ERP and systems you already run. If a simpler automation serves you better than an AI one, we will say so.
Supervised after launch. Deployed agents are monitored and tuned under a care plan. Drift is caught by us, not by your customers.
Bring us the process you think is too messy to automate.
That is the conversation we enjoy most. Describe it in plain language and we will tell you what we would build, what stays human, and what it takes.
Start a conversation