Normalized claim
Processing time per loan case: 80% decrease
processing time per case was reduced by 80%
DTI Group, based in Switzerland, built COGNAiO on Azure and Microsoft Foundry to analyze documents via meaning and context, validate information, and connect outputs to downstream systems. The platform supports document-heavy workflows across regulated sectors and is designed to automate extraction and validation across documents, emails, images, and data feeds. It uses Azure Document Intelligence, Azure Kubernetes Service, and Azure Database for PostgreSQL, and allows users to describe processes in natural language rather than code.
Reported outcomes
Processing time per loan case: −80%
Time & speed
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Normalized claim
Processing time per loan case: 80% decrease
processing time per case was reduced by 80%
Normalized claim
Document accuracy: 99% increase
accuracy approaching 99%
Normalized claim
Page processing time: 2.5 seconds decrease
pages were processed in an average of 2.5 seconds
Normalized claim
Service level threshold: 6-9 seconds decrease
required service-level thresholds of 6 to 9 seconds
Normalized claim
Loan agreements processed annually: 50,000 agreements increase
processed over 50,000 loan agreements annually
DTI Group built COGNAiO, an AI-native platform for agent-based document intelligence at scale
Primary read
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COGNAiO runs on Azure with Microsoft Foundry for agentic document intelligence, Azure Document Intelligence for document understanding, Azure Kubernetes Service for scalable application hosting, and Azure Database for PostgreSQL for persistence. The platform uses agents to interpret, validate, and act on information across documents, emails, images, and data feeds, with built-in governance, logging, explanations, and confidence thresholds for human oversight.
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