The value of SaaS for collections and credit risk operations
Access the full report below.
Thinking about modernizing your collections operations? You're in the right place. This whitepaper looks at how one major American financial institution evaluated SaaS in a large scale collections environment and what the results suggest for organizations considering a move away from legacy, on premises systems to the cloud.
What's inside
- The operational limitations associated with legacy, on premises systems, including slow processing, downtime, maintenance burden, and limited scalability
- The results of enterprise scale SaaS testing in a collections environment comprised of more than 37 million active accounts and 1 million archived accounts
- The performance gains achieved in batch processing, response times, and throughput under load
- The broader strategic value of SaaS for collections teams, including scalability, update management, integration support, and operational efficiency
- The role SaaS can play in helping collections providers build a more secure, adaptable operating model
Why this matters
Most lenders are well aware of the limitations of legacy systems. Their teams see the impact every day in recurring operational costs and technical constraints that make it harder to scale, adapt, and compete effectively. High setup time, downtime, and inflexible infrastructure slow routine work and limit a bank's ability to respond to new demands, especially in the AI age.
The performance improvements associated with a switch to SaaS matter, particularly for collections teams navigating rising account volumes and record levels of consumer debt. There's a broader operational value associated with these transformations, too, thanks to benefits including elastic scalability, automatic updates, lower operational strain on internal teams, stronger security alignment, and easier integration with adjacent systems. Teams operating collections on SaaS report reduced internal burden and improved resilience, with a flexible foundation that's more suited for future change.
Case study: Leading US financial institution
The report follows a test conducted by a leading US financial institution to evaluate the true ROI of switching from on premises to cloud native collections. The SaaS environment was evaluated against a dataset of more than 37 million active accounts and 1 million archived accounts. It delivered an 85% improvement in batch processing times, 68% faster response times during load testing, and a 30% improvement in throughput during load testing.
The system also handled simulated spikes in API traffic effectively, with 1,800 users completing jobs at the same time. These results offer a useful proof point for enterprise teams assessing whether SaaS can support demanding operational environments at scale.
Access the whitepaper to examine the operational and strategic case for SaaS in collections and credit risk environments.