Personal Finance Manager for Getin Bank

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Case Study Summary

iCompass, a FinTech solutions provider, partnered with WEBSENSA to enhance the online banking experience for Getin Bank’s customers.

WEBSENSA delivered the full PFM architecture and classification engine, achieving 95% accuracy and processing 150 transactions per second per core.

The module enabled automated categorisation, budgeting, customised reports and spending insights – later becoming a pattern adopted by other banks.

The client highlighted WEBSENSA’s ability to explore unknown ground, strong communication and high technical competence.

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iCompass wanted to improve the online banking experience

Most online banking platforms look similar and offer limited ways to analyse spending.
iCompass sought a solution that would truly support end-customer needs – clear navigation, better filters, meaningful data insights and personal budgeting tools.

The bank needed a system that turns raw data into meaningful insights

The project required building a module capable of:

• automatically classifying customer transactions,
• processing large data volumes,
• providing graphical data for the PFM interface,
• enabling budgets, alerts, limits and rules,
• offering category, subcategory and merchant-level insights.

How WEBSENSA built an advanced PFM engine

iCompass chose WEBSENSA because of:

• strong AI/ML and classification capabilities,
• the ability to build engines without existing benchmarks in the banking industry,
• technical experience suitable for the bank’s technology stack.

WEBSENSA’s work included:

• defining the architecture,
• integrating with the new online banking platform,
• implementing the PFM Classification Module,
• “teaching” and fine-tuning the system,
• deployment on test and production environments,
• supporting the bank’s team through presentations and training.

The project team included:

• a solution architect,
• front-end and back-end developers,
• AI/Data analysts,
• testers.

From idea to production – project execution

The project was run in an agile approach, with open and transparent communication.
According to iCompass:

“The most important characteristic of the management was open communication and the motivation to introduce a truly new market standard.” –  Szymon Borowiecki, CEO, iCompass

WEBSENSA and iCompass worked closely with bank specialists, ensuring they understood how the AI engine is trained and fine-tuned.

Results: high accuracy, high performance, and lasting impact

Project outcomes included:

• 95% correct transaction classification,
• 150 transactions per second per core,
• a pioneering PFM system later followed by competitors,
• valuable behavioural insights for marketing and analytics teams.

Client's review:

• Quality: 5.0
• Schedule: 5.0
• Cost: 4.5
• Willingness to Refer: 5.0

"The unique competence of WEBSENSA was their ability to explore an unknown ground and build a common team with bank specialists." – Szymon Borowiecki, CEO, iCompass

(Verified online interview, Clutch)

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