Until now, enterprise software testing has always focused on a relatively straightforward objective: ensuring applications perform as intended before they reach production. Organizations built processes around predictable release cycles, pre-defined workflows, and systems that behaved largely according to expectation. The rise of agentic AI, increasingly capable of making decisions, triggering actions, and interacting with multiple systems with limited human intervention, is changing those assumptions. As enterprises begin embedding AI agents into business-critical operations, particularly complex environments such as SAP, the challenge is moving away from simply validating software releases to establishing confidence in autonomous systems that continuously influence business outcomes.

Full report : Continuous quality is becoming essential as autonomous software transforms enterprise operations.