You are ‘checking the boxes’ on features and functionality, support capabilities, information security standards, and other potential vendor selection criteria. But have you considered the implications of poorly designed or legacy codebase constrained software?
A SaaS solution’s system performance, scalability, and resilience are critical factors in ensuring optimum business benefits. Performant software both minimizes the costs of supporting the SaaS application and thus can reduce the costs of delivering and supporting the solution that a provider passes on to clients and provides call center agents with a responsive UI that improves the customer experience. Scalability provides assurances that the solution will support the client’s current and future volume fluctuations and growth, and resilience supports the required ‘up-time’ availability so clients can maximize periods of use and return of automation and other business benefits.
Inevitably, many solutions offered as SaaS today incorporate legacy design principles and/or code from older generation products originally designed and sold for implementation on the client’s own servers and infrastructure. Such solutions are often inherently incapable of leveraging the full benefits of a modern, designed-for-the-cloud solution.
Telrock Systems takes the performance of its real-time, built from the ground up cloud-native ‘Optimus’ collections SaaS solution very seriously. We conduct regular application performance tests using real-world scenarios to examine and ensure predictable high performance for very large volumes of concurrent on-line users, API loads, inbound and outbound file loads, and overall processing and account volumes.
If you are interested in understanding what performance is achievable, request a copy of the latest ‘Q4 2025 Optimus Performance Testing’ results whitepaper at [email protected]. This paper describes how Optimus has been designed and deployed with predictable, high performance at its core, and delivers consistent response for the largest collections operations under real-world scenarios.