Developed with a Gen-AI-first, human-in-the-loop architecture that integrates human expertise with machine learning, Witbe’s Agentic AI dramatically reduces manual effort, is highly adaptable, and enables QA teams to keep pace with the rapid evolution and complexity of today’s streaming services.

Agentic AI builds on Witbe’s proven technology by introducing adaptive, goal-oriented agents that make workflows smarter, more flexible, and easier to scale. Fully integrated with existing Witbe solutions, it empowers QA, engineering, and operations teams to deliver consistent, high-quality viewing experiences across real devices and networks, even as services and features evolve.

Enhancing Automation With Intelligence
Agentic AI introduces a new layer of intelligence to Witbe’s platform, with autonomous agents that design test plans from product requirements, dynamically run app tests while adapting to UI changes, and intelligently analyze results and classify errors while improving over time.

Key components of Witbe’s Agentic AI platform

• Designer Agent: Automatically generates structured, goal-oriented test plans with ISTQB-grade acceptance criteria and KPIs. Plans can be created from natural language prompts, Jira user stories, or converted from legacy scripts in any language.
• Runner Agent: Executes self-discovering tests, intelligently navigating applications, handling unexpected UI elements, and adapting test flows dynamically. No scripting, manual updates, or app pre-training needed.
• Analyst Agent: Conducts autonomous error classification, identifying issues such as crashes, playback failures, network errors, and DRM failures. It compares current results with historical test artifacts and continuously improves outcomes through feedback integration.

The Agentic AI platform enables broadcasters, operators, and streaming platforms to execute and maintain thousands of end-to-end tests with unmatched efficiency, intelligent recovery, and adaptation.