AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics

Short summary

AINTMA is a multi-agent AI architecture for autonomous software test management using six specialized agents across cloud-native microservices. Evaluated on 12 projects over 18 months, it achieved 88.4% test prioritization accuracy, 43% cycle time reduction, and 340% ROI at 9-month payback. The system combines reinforcement learning for test prioritization, LLMs for quality narratives, and zero-trust secure communication.

• •Six-agent architecture for autonomous test management with RL prioritization and generative quality intelligence
• •88.4% prioritization accuracy, 43% cycle time reduction, 340% ROI over 18-month evaluation
• •Scales to 50,000+ test cases with sub-400ms response time using zero-trust cloud communication

Generated with AI, which can make mistakes.