Organisations commonly face several challenges preventing the completion of system enhancements at a rapid pace whilst maintaining a high degree of confidence in the quality that will be exposed to their users and customers.

New methodologies and tooling to help structure Quality Assurance practice and approaches are plentiful but very few organisations ever achieve the required level of automation they expect. Over time this increases the ‘technical debt’ whilst historic context is often lost hindering future automation efforts. Even as organizations adopt new DevSecOps practices, value is restricted by costly and time-consuming manual effort which is not replaced by automation at the required pace.

At Cyan Digital we assist organisations out of this conundrum. We leverage the power of AI and fit for purpose tooling to understand your system, identify candidates for automation and manage all the way through to completion.

Our Quality Assurance process is system-agnostic enabling QA across new or existing systems. Our process starts with a thorough quality analysis, examining the system design, architecture, and code while tracing known user requirements. We also apply AI as an accelerator to meet the agreed level of coverage required, ensuring that we will deliver with speed and accuracy. This approach helps the organisation identify potential issues early on and provide the necessary adjustments for optimal functionality. Overall, our system-agnostic and AI-driven QA process is geared towards providing, the highest level of confidence in quality for our clients and their customers.