Maximizing impact with Minimal Resources: Here is why CTOs are relying on Webomates for faster releases

Every CTO’s dream – achieve more with less! They are often caught in a balancing act—accelerating software releases while ensuring impeccable quality, lower costs, customer satisfaction, and operational efficiency.

But it’s easier said than done. Many organizations face constraints related to resources, budget, time, or workforce limitations affecting the speed of releases. 

Let’s explore the challenges CTOs face in achieving faster releases and why many are turning to Webomates as the solution.

The Problem: Barriers to Faster Releases

1. Slower development pipeline

Manual testing is time-consuming, and traditional automation tools require significant setup and maintenance. As teams use Agile and DevOps workflows, these methods struggle to keep pace with frequent updates, creating a bottleneck.

2. High defect rates due to rapid releases

Accelerating releases often puts pressure on the development team to code faster, and testing teams to test faster. Poor test coverage and slow defect identification results in defects slipping into production.

3. Lack of integration with modern workflows

Continuous integration, delivery (CI/CD), and testing (CT) pipelines are essential for Agile and DevOps practices. Yet many teams don’t integrate seamlessly into these workflows, creating inefficiencies and disrupting the speed of delivery.

4. Limited Testing Insights 

Without actionable insights into defect data, testing efforts often fall short of enabling strategic decisions. CTOs need real-time visibility into test progress, defect trends, and coverage to make any data-driven decisions.

5. Limited resources

Recruiting, training, and maintaining in-house QA teams for rapid releases can be expensive. For many CTOs, managing these costs while scaling testing efforts based on the team’s changing requirements is a persistent challenge.

Why CTOs Are Choosing Webomates – Faster Releases Guaranteed 

Webomates CQ’s AI testing platform enables teams to achieve more with less and some of the success stories illustrate its transformative potential. It addresses each of the challenges with its AI-driven, intelligent testing platform.

Here’s why it has become a go-to solution for organizations striving for faster releases:

1.Faster testing cycles without increasing resources

AI testing automates repetitive tasks and accelerates the testing process, allowing teams to achieve faster cycles without adding new testers. Advanced tools like  AiHealing® keep the test automation updated, keeping pace with the aggressive development timelines.

Success Story: An insurance company was struggling to address new feature additions changes made to existing ones or perform smoke testing to address hotfixes. By adopting an AI testing tool with self-healing capabilities, they slashed testing efforts by an impressive 67%, leading to a remarkable increase in team productivity, without hiring any additional resources. They could also redirect 2/3 of QA resources to more productive and innovative work. 

2.Comprehensive Test Coverage with Minimal Setup

Developing and maintaining test scripts for complex applications is difficult, especially when requirements change frequently. With AI-based automated testing and Gen AI, one can increase the overall depth and scope of tests, resulting in software quality improvement and ensuring comprehensive coverage with minimal manual effort. 

For example, if a UI element’s identifier changes, Gen AI can adapt the test script by recognizing the change and making required changes without needing manual corrections.

Success Story: A global leader in consumer credit reporting company saw a remarkable 20x increase in test efficiency after embracing AI testing, a task that would have taken months with traditional methods. They also created an AI test strategy that can be reviewed and modified.

3.Seamless Integration with technologies 

A true CTO knows that Change is the new constant, and teams need to shift focus quickly and respond rapidly to customer feedback or changes in the market. 

Continuous testing enables this agility within teams by supporting the shift-left testing approach where testing is done right from the earlier stages of the development cycle.  You need an AI testing framework that supports the required scalability to achieve continuous testing or migration to various technologies like web, mobile, APIs, and microservices.

Success Story:  A semiconductor company needed validation done for SAP cloud migration while ensuring quick ramp-ups and the integration of specific modules, multiple browsers, and applications into SAP.  With Webomates TaaS technology, they reduced operational risks during migrating 140 applications to the cloud. Leveraging a model-based strategy, they generated high-quality tests for the full suite, cutting the timeline from 6 months to just 4 weeks. The platform also provided rapid scaling and efficient ramp-down in a “Lift and Shift” environment, enabling a smooth transition.

4.Insights for Smarter Decisions

Test automation reporting transparently documents test outcomes throughout the CI/CD pipeline. This real-time reporting, test insights, and actionable triaged defects allow CTOs to monitor testing progress and make data-driven decisions. 

This also helps in maintaining a clear audit trail of all the testing activities which is required for any compliance approvals. For example, it is mandatory to ensure regulatory compliance specific to your sector, such as HIPAA for the health insurance industry and the Food and Drug Administration (FDA) for medical device regulations. 

Success Story: A cryo-management platform in the biomedical space needed to meet FDA approval for their hardware and software cloud system. Webomates CQ provided a base of verifiable quality for their MVP. The auditable reports that Webomates CQ provides are the basis of their meeting FDA approval of their product.

5.Cost-Effective and Scalable Testing

As applications grow in complexity, testing needs to scale proportionally. Cloud-based AI testing platforms provide scalability without the need for heavy upfront investment.

CTOs can use a TaaS testing model that combines the speed and efficiency of AI automation with the creativity of manual testers for domain-specific testing and Exploratory Testing. 

Success Story:  A US hospitality e-commerce company wanted to radically improve its quality and delivery speed to its customers. Through a Testing-as-a-service model, their CI/CD regression testing cycles were reduced to just 15 minutes. Initially, Automated regression tests were performed bi-weekly, then ramped up to weekly for 9 months. As the platform stabilized and was integrated successfully, testing frequency was gradually scaled back to bi-weekly and eventually to monthly. This allowed rapid scaling up and down to match their evolving needs while managing costs effectively.

Conclusion

For CTOs, the path to faster releases is paved with challenges—but with the right tools, these challenges can be turned into opportunities. 

Webomates stands as a trusted partner in this journey, offering innovative testing solutions that blend speed, quality, and scalability. With applications and data all on one platform, you can get unhindered visibility into your testing data, results, and insights. 

Organizations leveraging Webomates have consistently reported:

These outcomes empower CTOs to meet business objectives, delight customers, and maintain a competitive edge—all while accelerating release cycles.
Click here to schedule a demo. You can also reach out to us at info@webomates.com.

Tags: Faster Software Releases, Intelligent Test Automation, Software Testing, Test Automation