Python RPA

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Switching Vendors: BI Group Reached the Break-even Point Within 8 Months

After a successful RPA pilot with a top-tier RPA platform and two subsequent years of hyperautomation scaling, BI Group, the largest construction holding in Central Asia (with revenue exceeding USD 1 billion), faced an issue of escalating license costs. This led to the shelving of some potential tasks for automation. Three months of piloting Python RPA by an internal RPA team led to the company’s decision to completely transition to Python RPA. Thanks to unlimited bot licenses and affordable pricing, BI Group managed to reach the break-even point within 8 months and establish a new automation roadmap that included many small tasks for the accounting and operations departments that were not previously considered. The development of the first bot with Python RPA took one month, facilitated by team training provided by the vendor’s development team, which was included in the subscription.

Python code-based scripts and Python RPA bots are integrated at Otbasy Bank.

Dissatisfied with the tech support and feature addition process of large vendor solutions, Otbasy Bank, the third-largest bank in Central Asia by assets, pivoted its strategy to incorporate startup solutions into its ecosystem. Becoming an early adopter of Python RPA, the bank has assembled a team of four RPA and AI developers.  The initial Python RPA bots were deployed in the IT support department for user account management (provisioning, revocation). Following a successful implementation, RPA was scaled to cover accounting and HR business functions. Over the past two years, more than 30 business processes have been automated, including reconciliations, preparation and uploading of mandatory reports to governmental portals, bank day closing procedures, data verification using OCR (Tesseract), and many more. The internal RPA team comprises developers proficient in both Python programming and Python RPA Studio. To expedite the development of bots and reduce time to market, the team employs a blended approach, utilizing Orchestrator for both Python code-based bots and Python RPA bots.  “This approach facilitates seamless automation scaling and ensures security enforcement” – comments Yergerey Mazhit, a head of IT tech support, RPA and AI.