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Test Planning & Execution

Revolutionizing Test Planning & Execution with the Power of AI

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Imagine a technology that not just detects bugs but also learns from them, anticipating issues before they occur. Incorporating AI, specifically generative AI, into test planning can revolutionize the way software testing is approached, offering a wide range of assistance that covers different aspects of the testing process.

AT Tx, we help businesses begin with forming a comprehensive list of actions where AI can help in test planning, along with variations of assistance it can offer. Our team focuses on making a smooth move from traditional methods to the intelligent and automated future envisioned by AI testing.

Recent Insights

February 10, 2026

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Enterprise Cloud Migration Strategy: A Step-by-Step Roadmap for Regulated Industries

This enterprise cloud migration strategy blog shares a step-by-step roadmap for compliance-heavy environments. It covers cloud migration strategy types, planning for cloud data migration, phased execution, and cloud migration best practices to reduce risk, improve audit readiness, and optimize performance and costs after migration.

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February 9, 2026

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Modern QE for Digital Banking: Addressing Advanced Challenges with AI

The blog discusses why digital banking needs AI-driven quality engineering to improve reliability, security, and compliance through predictive defect detection, self-healing automation, and synthetic test data, supported by CI/CD pipelines and observability to reduce outages, fraud risk, and release delays.

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February 3, 2026

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QE Strategies for Financial Services: From Release Quality to Runtime Trust in Fraud Prevention

Financial fraud now emerges at runtime, not release. This blog explores how AI-driven Quality Engineering enables real-time validation, behavioral analysis, and proactive fraud prevention for modern financial services.

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February 2, 2026

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Why TCoE Programs Struggle to Deliver Measurable Business Value

Many Test Center of Excellence programs fail not because of tools or budgets, but due to unclear ownership, over-standardization, and misaligned execution models. This blog breaks down where TCoEs lose momentum, why tool-first approaches stall, and how enterprises can build scalable, business-aligned TCoEs that deliver sustained value.

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January 28, 2026

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AI Agent Evaluation: What Accuracy Alone Can’t Tell You

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