Success story

For financial service providers

Automating Mortgage Application Processing With AI

Read in this case study how to ... 

... capture and review up to 70% of application data automatically.
... reduce efforts spent on processing applications by roughly 40%.

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Shrinking Margins — Tough Competition — Rising Processing Costs

Why? Mortgage applications are primarily processed manually in the service back office. The enor-mous efforts employees spent on manually reviewing submitted documentation and transposing relevant application data creates high costs. An outdated approach.


The client

A leading German omnichannel bank focused on SMEs, with 1,000 employees.


The task

Use AI to automatically manage supporting documents in processing applications. Validation and automated extraction of relevant data and transfer to legacy systems.


The goal

  • Lower the cost of loan application processing
  • Quicker Decisions: Speed up mortgage process
  • Efficient procedures: Automate parts of loan processing to relieve skilled workers from mundane tasks.

AI — the Key to Automated Mortgage Application Processing

Beschleinigte Finanzierungsprozesse dank KI

Read the case study to learn how large parts of processing home loan applications can be automated using artificial intelligence.

AI really supports employees:


  • Automatic identification of supporting documents during processing thanks to AI.
  • Validation and automatic extraction of relevant data and transfer to legacy systems.
Compact and informative
Mortgage Success story
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