Sep 12, 2025
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Improving customer service in debt management
Completed

Improving customer service in debt management

$10,000+
more 1 year
Poland
6-9
view project
Service categories
Service Lines
Artificial Intelligence
Big Data
Software Development
Domain focus
Banking & Financial Services
Other
Frameworks
.NET
Subcategories
Artificial Intelligence
Machine Learning
Big Data
Data Quality
Software Development
Enterprise Software

Challenge

Operating across multiple countries and member companies, the client sought to improve operational efficiency and remain competitive in a complex legal and regulatory environment. This project also marked their first collaboration with an external technology provider, making it a strategic test of outsourcing.

Key challenges included:

  • Automating a core legal business process while ensuring compliance with regulations like GDPR.
  • Maintaining data security and process consistency.
  • Building a solution that could scale across multiple entities and integrate with existing systems.

Solution

The client partnered with Scalo to develop a credit risk assessment platform powered by machine learning and service-oriented architecture (SOA).

Key elements of the solution:

  • Agile collaboration between Scalo and the client’s internal development team.
  • Machine learning-based automation to streamline legal workflows.
  • Service-oriented architecture for scalability and modularity.
  • API integrations with external tools and internal systems for seamless connectivity.
  • Process monitoring to ensure consistent and uniform results across entities.

Results

The new system delivered measurable improvements in productivity and compliance:

  • Reduced manual workload, lowering operational costs.
  • Faster onboarding of clients and agents through automated KYC checks.
  • Improved user experience, with quicker and more reliable service delivery.
  • Enhanced scalability, allowing future extensions and integrations.
  • Maintained regulatory compliance, with secure data handling and process transparency.