The operational problem
An application or transaction may fail because supporting documents are missing, inconsistent or do not satisfy the receiving organisation's checklist. Reviewing a pack by hand can require repetitive reading, comparison and follow-up.
How the workflow operates
An administrator defines required documents, fields and tolerances. Users upload PDFs or scans, potentially with multiple documents in a pack. AI reads and extracts relevant information. Fixed rules compare extracted values with the configured checklist and with values in other documents. A reviewer can inspect pass/fail findings, expected and observed values, correct extraction mistakes, justify or escalate issues and produce a PDF report. The public description also includes report delivery by email.
What makes the architecture meaningful
The distinction between interpretation and decision logic is central. AI helps read messy inputs, while identifiable rule checks produce the verdict. A human remains able to review extracted values and the resulting finding. This is not a claim that an AI model has legal or regulatory authority.
Languages, deployment and boundaries
The product describes Arabic and English document reading, configurable checks, roles, separate departmental or customer spaces, audit records and local-model processing on customer-managed infrastructure. Banking and trade-finance review is described as available; insurance, government/licensing, visas, customs/logistics and onboarding configurations are on request. Specific OCR models, rule-engine implementation and performance figures have not been verified.
Source: https://ice.tootms.com/welcome ↗