Automating the Credit Assessment Process

Country

Poland

Industry

fintech

A comprehensive redesign of the credit analyst working environment at a Polish commercial bank, replacing a fragmented multi-system workflow with a unified Client Card in Microsoft Dynamics 365 and a Generative AI component for automated company verification and risk recommendations.

Services

AI/MLUX DesignWeb Development

Technologies

Microsoft Dynamics 365Generative AIAIConsole

Project in numbers

80%
Reduction in actions
81%
Fewer app switches
79%
Faster analysis
698h
Saved per month

Background

A Polish bank serving retail customers and the SME segment. Their credit analysts evaluate an average of 590 loan applications per month.

The project aimed to redesign the analyst working environment for the Micro credit process, covering discovery workshops, UX design, a Client Card in Microsoft Dynamics 365, and a Generative AI component.

Background

The Challenges

Analysts worked across multiple parallel tools with no central analysis point — up to 96 application switches per case. Data was scattered across BIK, DEF, CEIDG, SUDOP, MEF, and KRS/REGON registries.

All verifications were manual. Average analysis time: 90 minutes per case, totalling 885 hours of analyst work monthly. No AI tools existed to support decision-making or generate analytical notes.

The Challenges

The Solution

A three-layer solution combining new data architecture, a redesigned analyst interface, and Generative AI.

The Client Card in MS Dynamics 365 aggregates all data in a single view: persistent header bar, automated rule verification with status indicators, historical data comparison, and synthesised analytical notes.

The AIConsole component automates registry checks, detects negative media, verifies affiliations, and generates analytical notes covering the full research cycle.

The Solution

Business Impact

Freeing 698 analyst hours monthly creates capacity to grow without increasing headcount. Analysis time dropped from 90 to 19 minutes per case.

The modular architecture enables gradual expansion to the SME segment and other teams. AIConsole integration with the bank's internal assistant opens comprehensive conversational support for analysts at every stage.

Business Impact
/03Selected work

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