TRADE OPERATIONS
AI for documents and operational exceptions
Apply OCR, classification, search and AI assistance where outputs can be checked and safely returned to the workflow.
Discuss the task ↗Where the break occurs
A model is useful only when the source, confidence, reviewer and stop condition are known. We design this control landscape before integration.
AI reduces manual review without removing control
- Trade-document classification
- Data extraction and completeness checks
- Mismatch and risk-signal detection
- Human-in-the-loop and decision log
Before delivery we agree process boundaries, data sources, control roles and acceptance criteria.
Our approach
From the question to a decision.
- 01
Trade-operation map
Document the trigger, participants, documents, systems, money, dates and exceptions.
Landscape and breaks - 02
Target rules and data
Define statuses, roles, integrations, control events and acceptance criteria.
Architecture and roadmap - 03
Governed delivery
Configure the solution in short waves and test the full journey with real examples.
Working process - 04
Control and improve
Measure lead times, exceptions, mismatches and manual actions. Prioritise the next changes with evidence.
Governed backlog