Gartner mentions Altilia in its 1st market guide on Intelligent Document Processing

Enhance credit scoring for lending applications with ECM metadata

Evaluating loan and mortgage applications is an onerous task for Banks and Financial institutions, dealing with several different document types that require an intensive and error-prone back office manual analysis.

Altilia Intelligent Automation enables customers to save millions of hours of manual labour per year by extracting data from lending application forms and balance sheets feeding Enterprise Content Management (ECM) systems like OpenText Documentum® with metadata to empower and augment automatic credit scoring capabilities.

Extract Environment, Social and Governance (ESG) data from multiple sources and documents

Banks, investment management firms, and other organizations must conduct proper Environment, Social and Governance (ESG) research to create and maintain ESG profiles of businesses of any size and industry. Multiple documents contain a high volume of complex information that needs to be read and analysed. Altilia Intelligent Automation allows customers to automatically extract and structure data contents to build accurate ESG profiles.

Extracting data from complex documents to improve Non-Performing-Loan data tapes management

Non-Performing Loans (NPLs) are sold by banks to debt collection agencies. Each NPL case is equipped by a data tape that contains documents ranging from mortgage agreements, surety documents, to technical consultant reports, and more.

Altilia Intelligent Automation helps agencies to automatically process complex documents, extracting all the relevant data points to enrich NPLs data tapes. This process, previously handheld manually, can now be performed at 10 times the speed, with a 90% reduction of manual work, and with greatly improved accuracy.

This enables agencies to gain a complete view of the debtor’s properties and assets and to record them in data tapes, bringing greater success in chasing the loans and higher margins.

Data extraction from notes to balance sheets

Banks need to extract relevant data from multiple financial sources and documents in order to create sales pitches for derivative products. This is currently still a manual, inefficient and time-consuming process.

Altilia gives organisations AI models and tools to build automated workflows to speed up the process, resulting in increased accuracy, capacity and improved margins.