Successful businesses in 2025 are all pushing for efficiency. These modern firms are integrating innovative technology, working with data-driven insights, moving towards sustainability, cutting down delivery costs, etc. That said, some of these goals, such as reducing Quality Assurance (QA) costs and delivery times, remain a struggle for most firms.
However, some enterprises, like the forex trading brokerage Eurotrader, have recorded significant success in 2025 in reducing their QA costs and boosting delivery times. This article records the strategies that these organizations adopted and discusses how others can do the same.
6 Methods to Cut QA Costs and Improve Delivery Times
There are quite a few methods that enterprises in 2025 adopt to improve delivery times and reduce quality assurance budgets, including:
Automation at Scale
Traditional quality assurance procedures consume a lot of manpower, with many testers working on one product. Most times, these individuals handle repetitive tasks like executing tests and creating reports, test plans, and other documentation. Automating these tests can free up more hands and improve the overall accuracy of the process.
Since no human labor is being used for this process, costs are noticeably reduced in the long run. Bringing automation into the QA process also increases the speed of this procedure, leading to quicker feedback cycles. This allows businesses to bring their products to the market much faster.
One of the modern firms that utilized this strategy is TymeX, a platform that builds scalable digital banks. TymeX brought Amazon CodeWhisperer into its software development cycle to automate many repetitive tasks. This facilitated a 90% boost in efficiency and allowed its developers to spend 40% less time on tasks like testing codes.
Shift-Left Testing
Conventionally, software testing begins at the end of product development. This means the main developers have finished, and the QA engineers will take over. If these engineers encounter any issues during their tests, the developers will be called back to resolve them.
Shift-left testing makes a few changes to this pattern by inviting the QA engineers much earlier into the software development lifecycle. As such, testing can take place during the design, requirements, and implementation phases. This allows the quality assurance experts to detect bugs early on in development, making it easier to fix them without consuming many resources.
As the quality assurance engineers and software developers are collaborating, there are faster feedback loops. This leads to rapid iterations and reduces the time spent on fixing bugs. Not only is the budget preserved, but the release cycle of that software gets accelerated, bringing it much faster into the market.
Usage of Artificial Intelligence
Artificial Intelligence (AI) is one of the biggest innovations of the century, and it has been adopted by various industries for its versatility. It has also been deployed alongside a variety of popular software, such as the MetaTrader 5 download.
In the QA space, AI can take care of generating, executing, and maintaining test cases. It can also generate self-healing scripts and automate the analysis of test results. This saves the engineers the time of handling this task, and the effort can be spent on other productive areas.
AI is great at detecting patterns when it feeds on a large amount of information. QA experts can take advantage of this feature to feed their AI with lots of test data so that it’s able to detect anomalies that testers might miss. It saves the testers’ time by detecting defects early.
Instead of budgeting for the human testing phase, a good visual AI like Applitools or Testim can simulate these user interactions. With this, developers can discover any visual discrepancies that may be present in their user interfaces without spending heavily to hire human testers.
Outsourcing to QA Experts
Sometimes, outsourcing the QA process to a third party might just be what an enterprise needs to cut down costs. Many firms spend heavily on buying quality assurance infrastructure and hiring/training staff to use it. So, instead of training their own staff, it might be cost-effective to hire experts when needed.
This allows the developers of the company to focus on their jobs while leaving QA to the experts. Since these quality assurance firms are experts in their fields, any business that outsources to them can expect exceptional results.
As an enterprise only needs to pay for the QA services that they need, they can get high-quality expertise for a fraction of the cost. Google confirmed this when its cost per fixed bug dropped from $1200 to $700 after outsourcing. A third-party quality assurance team is also important when a company wants an unbiased review of its product.
CI/CD Pipeline Integration
The waterfall methodology was the traditional software development practice. Developers did things systematically, going from assessing requirements to development, testing, and eventual deployment. Not only was this entirely a manual process, but the time taken to accomplish it meant that deliveries only occurred every few months.
However, with the CI/CD methodology thrown into the mix, the process of building, testing, and deploying software is automated. As developers do their job and upload changes in their code to a general repository, their codes are automatically built and tested. This makes it possible to detect any integration issues early and resolve them. With such a fast feedback loop, developers can correct any issues in their code without spending much in the process.
For the continuous delivery part of this methodology, all changes in code are prepared for release into various environments. It ensures that the software in question is always in a state of deployment at every stage of the development process. In the end, this significantly reduces the time taken for these enterprises to release new software or an update to older ones.
Adopting Agile Methodologies
Flexibility was rarely seen in the software development scene, as teams had to finish one phase of the development process before moving on. Following the traditional methods of creating software, projects can run for 12 months before an actual release takes place. Sometimes, some of the features that the software introduces become obsolete as the market changes before the actual release.
Agile methodology changes everything, as the teams now work in sprints, which are basically shorter development interactions. After each sprint, there’s time for a little feedback, and the necessary adjustments will be implemented in the next development cycle.
This method has returned flexibility to the development process, as changes can be easily acknowledged. With agile methodology in place, the customers of top enterprises in 2025 discover fewer bugs in their applications. Now, new software or updates can boast of shorter delivery times, with an assured high-quality experience for the users.
Conclusion
The development of top enterprises in 2025 has shown that a good quality assurance process doesn’t have to be a budget drain. Faster delivery times have also been shown to be possible even at reduced cost. All it takes is to make good use of AI, engage in predictive analysis, automate and outsource when necessary, and take advantage of smart robots.
