The transition from UiPath to Python RPA
BI Group, the largest construction holding in Central Asia, had been using UiPath for some time. However, due to the high cost of licenses and development limitations, the IT team decided to move away from it. As an alternative, they chose Python RPA. The fully Python-based platform met all their functional requirements and proved to be a complete solution.
Today, RPA bots are running across every department at BI Group. Remarkably, just two Python developers have been able to meet the company’s automation needs. In just two years, they’ve automated over 50 processes, saving around 1,000 working hours. You can read more about this case in the translated article from Forbes Kazakhstan.
Extensive process automation at Kazakhstan's largest bank
Otbasy Bank, one of Kazakhstan’s leading financial institutions, has rolled out Python RPA across all departments—automating over 40 processes and saving thousands of hours.
From HR to finance and mortgage lending, digital employees now handle everything from document checks to account creation. AI-powered tools like OCR (Optical Character Recognition) help process scanned documents at scale—2,000 per day, with no errors.
Python RPA’s flexibility, combined with AI capabilities, helped them replace manual tasks, reduce risks, and speed up operations—all without the high costs of foreign platforms.
Read the full success story in the translated article on our website.
Scaling automation with Python RPA in a large bank
Optima Bank is taking automation to the next level—building a scalable RPA system entirely in-house using Python RPA.
Starting with a few pilot processes, the IT team quickly expanded automation across key departments. Today, digital employees handle routine tasks like checking with Visa, Mastercard, UnionPay systems, checking with card processing, editing customer data, resolution of disputes and many other processes — freeing up staff for more strategic work.
The team trained internal developers through a free platform course and now maintains and scales automation independently and over 15 core IT systems are seamlessly integrated with each other through Python-based RPA
The result is rapid development, cross-departmental coverage, and full control of automation — without relying on expensive third-party solutions.
1K+
hours saved per month
15
IT systems integrated with each other
3K+
hours saved per year
300K+
Invoice are processed automatically per year
Automating routine accounting and treasury processes in SAP
Intergas Central Asia has taken a bold step toward efficiency — automating routine accounting and treasury operations in SAP using Python RPA.
By targeting repetitive, high-volume tasks, the company has significantly reduced manual work and eliminated human error across its finance workflows. The results speak for themselves:
Bank statement posting for Alimony and Taxes ~80 hours saved monthly
Bank statement posting for Wages and Writs of Execution ~80 hours saved monthly
Invoice reconciliation between SAP and the State E-Invoice System ~125 hours saved monthly
Automated formation of payment order archives ~25 hours saved weekly
That’s over 300 hours saved every month, freeing up finance teams for more strategic tasks.
Ayil Bank: Large-Scale Automation Across
All Departments with Python RPA
Ayil Bank, one of Kyrgyzstan’s leading financial institutions, has successfully launched a comprehensive, bank-wide automation program using Python RPA—transforming its operations from the ground up.
Over the year, the IT team has automated more than 50 business processes across departments, including.
By replacing manual workflows with software robots, Ayil Bank is now saving over 700 working hours every month, with zero human error and faster turnaround times.
More than 20 core banking and support systems are integrated via Python RPA, including ABS, CRM, SAP, and government portals. Ensuring seamless data flow and process consistency across the entire organization.
All automation was developed in-house using Python RPA’s developer-friendly platform
and free training tools and enabling full control, fast iteration, and low implementation costs.
50+
business processes have been automated
700
hours saved per month
20
IT systems integrated with each other
1,5K
hours saved per month
x3
processes running faster
98%
reduction in manual errors
Scaling automation in the largest manufacturer in Central Asia
RG Brands, the largest manufacturing company in Central Asia, has embraced Python RPA to scale automation across its complex operations: Accounting, Marketing, HR and Legal Department.
RG Brands has automated over 40 critical business processes, including:
Accounting: managing accounts receivable, retrieving certificates of completed work from the EDM system, downloading and reconciling sales reports from thousands of stores, along with various other processes;
Legal department: checking counterparties for reliability, coordinating deadlines, updating contract details, and monitoring validity periods, and other routine legal processes;
HR: handling employee onboarding, managing vacation requests, sharing updates on remaining leave days, and streamlining many other processes;
Marketing: downloading reports from advertising accounts for control.
By choosing Python RPA, GBrands avoided high license costs and gained full control over their automation roadmap.
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