Transforming Quality Assurance and Testing with Agentic AI
Reports
The accelerating volume of code, mounting release pressure, and new regulatory demands are stretching today’s QA and testing teams. IDC’s latest Analyst Brief positions agentic AI—LLM-powered autonomous software entities that can perceive, decide and act independently—as the next decisive advance after predictive and generative AI. Drawing on 2025 IDC survey data, the paper shows that 40 % of organisations are already piloting agentic-AI proof-of-concepts and that one in three expect material business-model disruption within 18 months.
Key sections detail how agentic AI can:
- Auto-generate and prioritise test cases for broader coverage,
- Adapt execution in real time,
- Trace root causes and suggest fixes, and
- Learn continuously to improve each test cycle.
The report weighs these benefits against challenges—data quality, ecosystem integration, governance, new security models (e.g., Agent2Agent protocols), compliance to ISO 42001, and the emerging AI-literacy skills gap.
Download it today to get your hands on an action plan: assess current practices, invest in data infrastructure, upskill teams, start small pilots, and foster continuous learning, positioning adopters to achieve “lights-out” end-to-end testing and a decisive speed-to-quality advantage.