Emirates NBD cuts standard due diligence turnaround from about 19 to 4.7 days with AI document processing

Business-banking onboarding and compliance reviews at Emirates NBD depend on information held across identity, legal, financial and business documents, such as trade licences, memoranda of association, board resolutions, passports and Emirates IDs. The bank describes the experience it moved away from as a 'submit, wait and rework' process, with repeated data collection and manual document handling.

Emirates NBD built Document Intelligence, an enterprise platform that combines optical character recognition, machine learning and generative AI to turn unstructured customer documents into validated, reusable data. Customers submit documents through the bank's digital channels; the platform identifies each document type, uses large language models to extract attributes, checks completeness and gaps, assigns confidence scores, and passes validated data through APIs to onboarding, compliance and core banking systems. Customers and employees can review and amend extracted data, and the bank retains validation controls and human intervention for incomplete, inconsistent and higher-risk cases.

Emirates NBD reports that standard due diligence turnaround fell from approximately 19 days to 4.7 days (about 75%) and enhanced due diligence from around 41.5 days to 11.4 days (approximately 72%) for UAE business-banking onboarding. Turnaround for high-risk annual reviews fell from approximately 66 days to 21 days, clean-case submission rates improved by 22%, and the platform pre-populates approximately 100 of 250 application fields, which the bank says reduced form-filling effort by about 40%. The bank reports approximately 98% precision in classifying documents and extracting attributes, and says 100% of its onboarding and compliance staff use the capability in their day-to-day work.

• Pair document extraction with confidence scoring, validation checks and human review so faster processing does not mean accepting unverified data.
• Extract once and reuse validated data across onboarding, servicing and compliance instead of building a separate tool for each journey.
• Track speed and data quality together, for example turnaround times alongside rework and extraction precision.