← Cases
KuwaitFinance and insurance2024 – ongoing

Kuwait Finance House

RiskGPT and Copilot for credit risk

Kuwait Finance House cuts credit-case risk rating time from about three days to under an hour

WorkingVendor's case studyVendor ↗

Problem

Credit case evaluation took three days on average and sometimes four to five. Reconciling aggregated data from subsidiaries took about two weeks.

Approach

The bank consolidated subsidiary data on Microsoft Fabric and built RiskGPT, an in-house risk engine, with an R&D institute and Microsoft AI services. Microsoft 365 Copilot and Power BI Copilot query the engine, and automated risk models run across branches.

Results

under 1 hourtime for a dynamic risk rating of a credit case, down from an average of three daysVendor's case study[1]
96%cut in risk processing time reported by Microsoft, which did not specify a baselineVendor's case study[1]

Takeaway

The data had to be gathered in one place before the risk engine could be used.

Categories

Innovation type
Process innovation
Evidence
Vendor's case study

Sources

  1. Kuwait Finance House customer story (Azure AI services)
    Microsoft3 Dec 2024Vendor publication

Source summaries

[1]Microsoft3 Dec 2024

The bank consolidated data on Fabric and built its RiskGPT engine. Microsoft reports that credit evaluation now takes under an hour, down from days.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026
Open case page ↗