Finance automation
Gives applicants a quick indication of whether they are likely to qualify for a loan by checking basic financial data against lending policy before a full application, and suggests suitable products.
Processing full applications from people who do not meet basic criteria wastes time for both lenders and applicants. Manual pre-checks are slow and inconsistent. Applicants wait days for a simple answer.
Where the time goes before automation:
The AI workflow
Loan Eligibility Pre-Screening
An applicant completes a short online form.
An applicant completes a short online form.
Web form, app
With consent, credit history is retrieved from the credit bureau.
Al Etihad Credit Bureau API, credit bureau
Income, debt burden and credit data are scored against policy rules.
Scoring model, rules engine
The applicant sees 'likely eligible' with suitable products, or guidance if not.
Decision engine
Eligible applicants are passed to a loan officer for the full application.
CRM, loan origination system
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Qualitative benefits. We measure the real effect on your process during the first weeks.
Timelines depend on your systems and are confirmed after discovery.
FAQ
No. It is an indication only. Final approval follows a full application and credit assessment.
Yes. Credit bureau checks require the applicant's consent.
Learn to build this
with DAIDU faculty
Build one finance workflow, such as invoice extraction or variance commentary, with a review step built in.
with DAIDU faculty
Your leadership team agrees one AI roadmap with owners, priorities and measures.
Consultation
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