By: Serhii Zhelieznikov

In software development, time and budget are often under pressure — and nowhere is that more visible than in quality assurance (QA). Ineffective QA processes, frequent post-release issues, and costly rework can keep projects behind schedule and over budget.

That’s why Anna Kovalova, co-founder and CEO of Anbosoft, and her team created a unique AI-powered QA Audit — built on a proprietary survey they designed from the ground up. This isn’t a recycled industry template. It’s a targeted, data-driven process that helps uncover areas where QA inefficiencies may be present and provides a step-by-step plan to potentially save money, shorten timelines, and improve quality standards.

A New Standard: The AI-Powered QA Audit

The AI-powered QA Audit was designed to do more than just check compliance boxes. It gives companies a complete, business-focused view of their QA process, showing where they are now, where they could be, and how they might close the gap.

By combining custom survey data with AI-driven analysis, the audit identifies key areas behind high costs, slow testing cycles, or recurring defects — and suggests clear, prioritized actions to address them.

How It Works

The process starts with the proprietary Anbosoft QA Survey, which collects key insights on testing practices, tools, team structure, workflows, and pain points.

From there, the AI-powered analysis produces a QA Maturity Score across multiple categories, along with:

• Current vs. potential performance benchmarks 
• Key findings and risks affecting cost, time, and quality 
• Opportunities to improve efficiency and reduce waste 
• Prioritized action plan for short- and long-term improvements 
• Business benefit projections tied to measurable results 
• Deep pain point analysis with root causes, risks, and solutions

The outcome is a clear, actionable roadmap for building a stronger, more efficient QA process.

From Data to Actionable Insights

Once the information is analyzed, clients receive a comprehensive, easy-to-digest report that includes:

• QA Maturity Score — showing current process health across key dimensions 
• Current vs. potential benchmarks — highlighting areas where efficiency gains could be made 
• Key findings & risks — revealing the issues that may be draining resources or creating costly delays 
• Opportunities table — with clear paths to save time and reduce costs 
• Recommended action plan — ranked by priority and business impact 
• Business benefit projections — estimating tangible savings and productivity boosts 
• Deep Pain Point Analysis — for each major challenge, breaking it down into: 
  • Potential root cause – The underlying reason this issue exists, such as process gaps, lack of training, or tool limitations. 
  • Risks if unaddressed – The possible negative outcomes that may occur if the problem is not resolved, including higher costs, delayed releases, or client dissatisfaction. 
  • Recommended actions – Specific, actionable steps to fix the issue and prevent it from recurring. 
  • Estimated business benefit – The measurable impact on time, cost, quality, or team efficiency once the recommendation is implemented.

Common QA Challenges the Audit Reveals

While every organization is different, the audit has shown that many QA teams face the same recurring challenges. Some of the most frequent issues include:

• Heavy reliance on manual testing – Without automation in place, teams spend large amounts of time on repetitive test cycles, slowing down delivery and increasing the risk of human error. 
• Workload imbalance – Testers are often underutilized early in development but overwhelmed right before release, leading to rushed testing and missed defects. 
• Gaps in documentation – Incomplete or unclear requirements make it difficult to design effective test cases, resulting in coverage gaps and rework. 
• Limited visibility into QA’s value – Without clear metrics, it can be challenging to demonstrate QA’s contribution to the business, making it harder to secure resources and support. 
• Slow adoption of modern tools – Teams frequently hesitate to implement new test automation or AI-assisted solutions due to a lack of knowledge or training.

By identifying these common challenges and breaking them down into root causes, risks, and actionable recommendations, the audit provides organizations with a structured way to move from recurring frustrations to sustainable, efficient QA practices.

Why It Works

Anna and her team designed the audit to bridge the gap between QA execution and business strategy. It’s not just about improving testing — it’s about building a cost-effective, efficient QA process that supports predictable, high-quality releases.

“Quality assurance isn’t just about catching bugs — it’s about creating processes that prevent them, save money, and give teams the time and focus they need to deliver their best work.” – Anna Kovalova, CEO of Anbosoft

If your QA process is over budget, behind schedule, or leaving teams overworked, this unique AI-powered QA Audit could provide you with a clear path to lower costs, faster delivery, and higher quality — all backed by data.

Learn more or request your own audit at Anbosoft.net or email info@anbosoft.net.