How to Quickly Deploy Case Management Systems – Without Sacrificing Quality
A Case Management System can help your organization optimize how it conducts business — and it doesn’t have to take a long time to get there. Commercial-off-the-Shelf (COTS) products and Low-Code Application Platforms (LCAP) can significantly reduce implementation costs and time-to-production. Your users could be operating from a modernized system in as little as six months.
What is Commercial-off-the-Shelf software?
Commercial-off-the-shelf (COTS) software is an immediate, low-code, configurable solution to addressing your organization’s business needs. It uses a standardized framework of functionality for application development which can be tailored to your specific use cases.
How can you benefit from these quick-deploy case management implementations?
The average stand-up time of a viable COTS case management system (CMS) is less than 6 months, saving your team time and resources.
COTS products jump start the development of your overall system framework and, in turn, shift the key success factors of a project kick-off away from basic functionality and instead focuses first on understanding your organization’s specific use cases and user requirements. When more time and resources are spent upfront on understanding the user need, this translates directly into a better set of functionality and ultimately higher user adoption.
With a COTS-based implementation, you can expect a consistent quality for the overall interface, basic functions, and workflows. As a product matures and new versions are released, customers benefit from a baseline solution that has been refined over time for usability and reliability.
What COTS CMS platform is best for you?
When building an application on a COTS solution, you have an opportunity to assess what your team needs most and find a platform which meets those requirements both from a functionality and budget perspective – ensuring you get the best solution for you needs. Our team of platform architects recommend assessing platforms against many capabilities and features to determine best fit, including: