Multi-Agent AI System Cuts Test Automation Effort by 78%, from 45 to 9.5 Hours
Engineering teams have developed an AI Test Automation Factory that replaces traditional manual test scripting with a pipeline of specialized AI agents, each handling a distinct phase of the automation workflow. The system routes requirement documents through five sequential agents — covering context generation, test case design, feature file creation, page object modeling, and step definitions. Total effort per scenario dropped from 45 hours to 9.5 hours, while test coverage improved from 65% to 90% and defect leakage fell from 12% to 5%. The framework includes a governance layer with token usage tracking, cost monitoring, and real-time Power BI dashboards for executive oversight. Future development aims to incorporate the Model Context Protocol (MCP) to enable fully autonomous, self-healing test execution without human intervention.
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