By combining AI-driven automation, domain-aligned QA teams, and a structured QA operating model, organizations can reduce manual testing effort, accelerate regression cycles, and gain real-time visibility into release confidence.
The outcome is a shift from reactive testing to proactive quality intelligence.
30%+
Efficiency Improvement
450+
QA Experts
Traditional testing models struggle to keep pace with modern software delivery.
Release cycles are accelerating, systems are becoming more complex, and AI-driven development is producing code faster than traditional QA processes can validate.
The result is a growing Cost of Quality problem:
- Manual testing effort continues to increase
- Automation frameworks fail to scale across applications
- Regression cycles delay releases
- Defects escape into production environments

Introducing QAOps
QAOps is a managed quality engineering operating model that embeds automation, AI, and governance directly into the software delivery lifecycle.
Instead of treating testing as a final validation step, QAOps integrates quality intelligence into every phase of development.
This enables organizations to:
- Accelerate regression cycles
- Improve coverage across business journeys
- Reduce manual testing effort
- Detect defects earlier in the lifecycle
- Provide measurable quality insights to leadership
These challenges create a cycle of rising QA costs and increasing delivery risk.

The 30% Cost Advantage
Guaranteed 30% Efficiency Through QAOps
The QAOps model is designed to deliver a minimum 30% efficiency improvement across quality engineering operations. This improvement is achieved through a combination of people, process, and AI-enabled technology.
Client Success Stories
Measurable Impact Across the Industries
Why Saksoft QAOps?
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