Projects

A leading retail bank launched an AI-powered credit scoring platform to transform its lending process and improve customer access to financial services.

The new solution introduced advanced machine learning algorithms that analyzed a wider range of customer data, including transaction history, behavioral patterns, and risk indicators. The platform enabled real-time credit assessment, automated decision-making, and personalized lending offers while maintaining compliance with internal risk policies.

Key results:

• 3x increase in the number of loans issued per quarter

• 70% reduction in average credit decision time

• 40% decrease in manual processing workload

• Improved customer experience through faster and more personalized loan approvals

The project demonstrated how AI-driven decision-making can help financial institutions scale lending operations, increase business growth, and deliver more accessible financial services.

— The project does not use solutions from the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— The supplier profile is not present in the Global CIO catalog

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— The project does not use solutions from the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— The supplier profile is not present in the Global CIO catalog

Project goals

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Project goals

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Project goals

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— Profile «PRO32 Endpoint Security» in the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— Profile «BPMSoft» in the Global CIO catalog

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— The project does not use solutions from the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— The supplier profile is not present in the Global CIO catalog

The main goal was to create a fully automated, transparent, and reliable payroll process that would:

• eliminate repetitive manual calculations;

• reduce payroll processing time;

• minimize human errors;

• integrate HR, attendance, and financial data;

• ensure salaries are calculated according to individual employee schedules and compensation rules;

• provide employees and managers with faster access to payroll information.

The key innovation of the project was the creation of a single automated payroll ecosystem for a large manufacturing workforce with complex shift-based compensation.

Unlike a standard payroll automation project, the solution had to process different employment models simultaneously, including production workers working in shifts, overtime, night hours, bonuses, temporary employees, and office staff.

The system automatically combines data from attendance terminals, HR records, shift schedules, bonus calculations, and accounting. This allows the payroll team to move from manually collecting and checking data to managing exceptions and approving automatically generated results.

Another important feature was the introduction of automated validation rules that identify discrepancies before payroll is finalized, significantly reducing the risk of incorrect payments.

The project delivered significant improvements in payroll efficiency and transparency:

• 70% reduction in payroll processing time;

• 85% reduction in manual payroll operations;

• 95% reduction in payroll calculation errors;

• Payroll preparation time reduced from 5 working days to less than 1.5 days;

• More than 1,500 employees moved to the automated payroll process;

• 100% digital integration between attendance, HR, payroll, and accounting data;

• More than 50 payroll rules automated;

• Employees gained access to digital payslips and payroll information without contacting HR.

The project transformed payroll from a highly manual administrative process into an integrated digital service, giving HR and finance teams more time to focus on strategic activities while providing employees with a faster, more transparent, and reliable payroll experience.

— The project does not use solutions from the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— The supplier profile is not present in the Global CIO catalog

Possimus, ullam fuga.

Velit, alias magna e.

In incididunt ration.

— The project does not use solutions from the Global CIO catalog

— The project manager did not take part in the ranking «Top 100 IT Leaders»

— Profile «BPMSoft» in the Global CIO catalog