ACCELQ has unveiled substantial upgrades to Autopilot, its latest Gen AI-enabled addition to the company’s no-code test automation platform. The new enhancements are designed to help quality assurance (QA) teams handle the increasing scale and complexity of enterprise testing through an AI-powered agentic architecture.
Autopilot is built around a modular AI agent system, enabling automation across the complete testing lifecycle. The Scenario Discovery Engine interprets application workflows from live systems, wireframes, or even business requirement descriptions, reducing the need for manual mapping. It is paired with a Test Step Generator that can translate high-level test intentions into fully executable flows.
“Companies today move fast,” said an ACCELQ spokesperson. “The new features are intended to make the platform more accessible to QA teams by reducing the need for technical expertise.”
The platform’s No-Code Logic Builder uses natural language processing to create automated logic, providing real-time previews and validation to ensure accuracy before execution. The AI Test Case Generator adds another layer by producing multiple data-driven test variations based on defined business rules and dependencies, allowing teams to address broader coverage with minimal manual intervention.
Another component, the Autonomous Healing Engine, is designed to adapt test cases dynamically when changes occur in UI or API structures. It uses contextual analysis and self-healing logic to maintain continuity and reduce the maintenance load for teams. Additionally, Logic Insights offers recommendations for test design improvements based on observed patterns and dependencies.
These updates are suited for both newer firms and established enterprises. ACCELQ reports that the enhancements aim to reduce manual intervention in test maintenance. Industry analysts note that no-code and AI-driven testing platforms are increasingly used to handle distributed systems and multi-platform environments.
Founded in 2014, ACCELQ provides a cloud-based AI-powered platform for software testing, with a focus on no-code automation. The platform has been adopted by enterprises across sectors including banking, healthcare, and technology.
The upgrade also reflects the company’s ongoing effort to integrate advanced AI capabilities into its cloud-based platform. By combining natural language understanding and data-driven test design, Autopilot addresses common challenges in modern software testing.