What is Cortex?
Cortex is Appropia’s horizontal document AI engine. It reads enterprise documents, extracts fields, classifies files, validates business rules, and creates traceable audit evidence.
For teams processing invoices, contracts, certificates, policies, accounting evidence and operational files at scale. Cortex extracts, validates and escalates only the exceptions that need human judgment.

Document extraction
Business rule validation
Audit evidence
Human exception routing
Agent-readable summary
These answer blocks make the product easier for AI search engines and agents to extract, compare, and cite.
Cortex is Appropia’s horizontal document AI engine. It reads enterprise documents, extracts fields, classifies files, validates business rules, and creates traceable audit evidence.
Cortex fits document-heavy workflows such as invoices, contracts, policies, certificates, accounting support, operational files, authorizations, and document audit processes.
No. Cortex may use OCR, but its value is turning documents into validated data, checking that data against business context, and escalating exceptions with evidence.
Cortex is the horizontal document AI engine. BeCompliant is a vertical supplier compliance application that uses document validation, regulatory rules, alerts, and risk scoring.
Cortex can integrate with document repositories, ERPs, CRMs, supplier portals, Alfresco, internal APIs, and external validation sources.
Cortex reduces manual review, accelerates response times, improves traceability, and lets human teams focus on exceptions and risk decisions.
Operational gap
Cortex makes document-heavy operations easier to qualify for automation: where documents arrive, what must be extracted, which rules must be checked and where humans should intervene.
Invoices and accounting support
Contracts and annexes
Policies and certificates
Operational files
Date and period checks
ERP, CRM and repository integrations
Cortex diagnostic
The form captures process, volume, urgency and current system so the lead reaches GHL with useful context.