Agentic AI brings a new dimension to test automation: introducing intelligent systems that can plan, adapt, and continuously improve. This article explores how Agentic AI complements existing testing and monitoring automation practices by enabling goal-driven agents to design test plans, navigate real devices dynamically, and analyze results with greater precision. With applications in fast-paced environments like video streaming, Agentic AI opens the door to smarter, more scalable testing; while keeping human expertise at the core.

What Is Agentic AI?

Agentic AI refers to AI systems designed to act with agency: pursuing goals, making decisions, adjusting to changing conditions, and improving over time. Unlike traditional rule-based automation or even predictive AI models, agentic systems operate with more autonomy and purpose.

They are:

• Goal-oriented – focused on achieving specific outcomes
• Adaptive – able to respond to unknown or unexpected inputs
• Self-improving – learning from feedback and past behavior
• Collaborative – capable of interacting with other agents or human teams

This makes them well suited for real-world, fast-changing environments, like app testing across fragmented devices and operating systems.

Why QA and Test Automation Benefit from Agentic AI

Manual testing is essential in ensuring video service quality, but it often falls short when teams need to scale quickly across a wide range of devices, content types, and network conditions. In today’s video landscape, marked by constant UI updates, complex user journeys, and diverse device ecosystems; automation is key to maintaining service quality at scale.

Agentic AI takes automation a step further by making it more intelligent and adaptive. It boosts existing test automation by enabling:

• Test plans to be generated directly from product requirements or user stories
• Automated tests to adjust dynamically to UI changes or app updates
• Error classification and root cause analysis
• Continuous improvement through feedback-driven learning

These enhancements are particularly valuable in video testing and monitoring, where maintaining a consistent quality of experience (QoE) across platforms like Samsung Smart TV (Tizen), Android TV, Fire TV, Roku, Apple TV, set-top boxes, mobile devices and varying network environments is both critical and complex. Agentic AI strengthens automation with the intelligence needed to keep pace with evolving video services.

Applying Agentic AI to Video Testing and Monitoring

Witbe’s Agentic AI platform brings this vision to life with intelligent agents integrated into its real-device testing ecosystem. These agents are built specifically to address the challenges of video service quality testing.

• Designer Agent: Converts user stories, natural language prompts, or legacy scripts into structured, goal-oriented test plans with built-in KPIs and validation logic.
• Runner Agent: Executes those test plans across real devices; handling navigation, adaptation to UI changes, and unexpected behaviors without scripting or retraining.
• Analyst Agent: Classifies and analyzes errors based on historical patterns and contextual data, detecting playback issues like black screens, freezes, or content mismatches with increasing accuracy over time.

This multi-agent approach empowers video service providers to automate thousands of scenarios, test across real networks and real devices, and monitor performance with greater speed and precision.

How Agentic AI Enhances QA Automation Without Replacing Expertise

Agentic AI is designed to extend human capability, not to replace it. By removing repetitive maintenance tasks and making test execution more resilient, it allows QA teams to focus on high-value problem solving, strategic planning, and continuous improvement.

It also requires the right foundations to succeed, namely: a true expertise in video testing and monitoring, mature automation workflows, reliable algorithms, access to real devices, a robust observability platform, and clearly defined quality benchmarks. Witbe’s Agentic AI is built on exactly that: a proven ecosystem of real-device testing, automation, and monitoring technology trusted across the video industry.