Case Study: EMAAR achieves 95% faster document retrieval and 90% faster application processing with Tungsten Automation

A Tungsten Automation Case Study

Preview of the Emaar Case Study

EMAAR transforms backoffice operations and enables digital customer journeys with AI-powered data capture

EMAAR, the Dubai-based developer behind landmark properties like the Burj Khalifa, faced a growing back-office burden: thousands of work-permit and identity documents were processed on paper across 36 lines of business, relying on 35 FTEs and time-consuming manual checks that created compliance risk and long turnaround times as inbound volumes climbed to more than five million pages a year.

EMAAR implemented Kofax intelligent document processing (Kofax Capture, Transformation and RTI) to automatically extract and classify data with AI/ML and integrate it into its BPM engine, while digitizing over 10 million records. The solution cut document retrieval times by 95% (15 minutes to 40 seconds), reduced application processing from 48 hours to about three hours (≈90% faster), improved operational efficiency by ~80%, lowered scanning volumes by 70%, and now supports 500+ back-office users.


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Emaar

Binoo Joseph

Group CIO


Tungsten Automation

247 Case Studies