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TürkiyeFinance and insurance2024 – ongoing

Yapı Kredi

KUVARS internal generative AI search

Yapı Kredi used its Turkish language model to search more than 20,000 information materials and documents

In progressCompany's own claimOfficial ↗

Problem

Employees needed to retrieve information from dispersed corporate knowledge resources.

Approach

Yapı Kredi developed KUVARS for its Corporate Portal Transformation project. The search engine used the bank's internally trained Turkish language model to retrieve information and documents.

Results

20,000+information materials and documents accessible through KUVARS, according to the bankCompany's own claim[1]

Takeaway

The bank disclosed the search collection's scope without quantifying time saved or answer accuracy.

Categories

Innovation type
Process innovation
AI technology
Generative AI
Evidence
Company's own claim

Sources

  1. 2024 Integrated Annual Report
    Yapı Kredi2024Company publication

Source summaries

[1]Yapı Kredi2024

Yapı Kredi described KUVARS as an operational application of its Turkish language model. It reported access to more than 20,000 information materials and documents without a measured productivity result.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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