{"slug":"dti-group-s-agentic-ai-platform-cognaio-cuts-loan-document-processing-time-80","url":"https://findausecase.com/use-cases/dti-group-s-agentic-ai-platform-cognaio-cuts-loan-document-processing-time-80","title":"DTI Group's agentic AI platform COGNAiO cuts loan document processing time 80%","description":"DTI Group, a Switzerland-based document automation company, built COGNAiO, an agentic AI platform on Microsoft Azure and Microsoft Foundry (including Azure Document Intelligence, Azure Kubernetes Service, and Azure Database for PostgreSQL) that interprets, validates, and acts on information in documents, emails, images, and data feeds by meaning and context rather than templates. Users describe processes in natural language to deploy agents without code. One retail bank customer processing over 50,000 loan agreements annually reduced processing time per case by 80% using COGNAiO. In a high-volume banking deployment, the platform processed pages in an average of 2.5 seconds against a required service-level threshold of 6 to 9 seconds, with document understanding and validation accuracy approaching 99%.","company":"DTI Group","industry":"Technology & Software","country":"Switzerland","aiCapabilities":["Document Intelligence","Agentic AI","Natural Language Processing"],"technology":["Microsoft Azure","Microsoft Foundry","Azure Document Intelligence","Azure Kubernetes Service","Azure Database for PostgreSQL"],"deployment":"Unknown","problemStatement":"Document-heavy workflows such as customer onboarding, claims handling, and invoicing depended on manual review and reconciliation, slowing decisions, since rule-based automation could not reliably interpret unstructured inputs or connect different types of information within a single process.","solutionApproach":"DTI Group built COGNAiO on Microsoft Azure and Microsoft Foundry, including Azure Document Intelligence, Azure Kubernetes Service, and Azure Database for PostgreSQL; its agents interpret documents by meaning and context rather than templates, and users describe processes in natural language to deploy agents without code.","businessValue":"COGNAiO analyzes documents in seconds with accuracy approaching 99%; in a high-volume banking deployment, pages were processed in an average of 2.5 seconds against a required service-level threshold of 6 to 9 seconds; one retail bank customer processing over 50,000 loan agreements annually reduced processing time per case by 80%, freeing staff for higher-value tasks.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/26808-dti-group-azure","dates":{"publishedAt":"2026-09-15T09:05:26.444Z","publishedAtSource":"pipeline","updatedAt":"2026-09-15T09:05:26.444Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/dti-group-s-agentic-ai-platform-cognaio-cuts-loan-document-processing-time-80. Bulk republication requires permission."}