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AutomationSTAR

Test Automation Conference Europe

Track Talk T6

Intent-Based QA and AI Agents

Aslam Khan

11:00-11:45 CET, Thursday 5th November

For years, software testing has been dominated by scripts: fragile, time-consuming to maintain, and increasingly misaligned with how modern software is built and shipped. As systems become more dynamic and release cycles accelerate, traditional automation struggles to keep up.

This talk explores a fundamental shift in quality engineering: Intent-Based QA and AI Agents

Instead of telling tools how to test step by step, intent-based QA focuses on what needs to be validated, business outcomes, user behaviour, and system expectations. AI agents interpret this intent, generate relevant test coverage, adapt to change, and continuously validate applications without constant human intervention.

Attendees will gain a clear, practical understanding of:

  • Why scripted automation is becoming a bottleneck rather than an accelerator
  • What intent-based testing actually looks like in real teams (beyond hype)
  • How AI agents can plan, execute, and self-heal tests as applications evolve
  • Where human testers add the most value in an AI-augmented QA model

This session is designed for QA leaders, engineers, and product teams who want to reduce maintenance overhead, improve release confidence, and prepare their testing practices for an AI-first software landscape.

You’ll leave with a new mental model for QA, one that treats quality as a continuous, intelligent system rather than a collection of brittle scripts.

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What you will Learn

  1. Why scripted automation is becoming a bottleneck rather than an accelerator.
  2. What intent-based testing actually looks like in real teams (beyond hype).
  3. How AI agents can plan, execute, and self-heal tests as applications evolve.

Session Details

  • Intermediate
  • 30 minutes
  • 15mins Q&A
  • Emerging Landscapes (Vibe Testing & Agentic AI)
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Session Speaker

Aslam Khan

Technology Leader - Robonito, Saudi Arabia

I’m Aslam Hasan Khan, a technology leader and AI practitioner with deep experience in software quality engineering, test automation, and AI-driven platforms. I work closely with fast-scaling product companies to modernise QA using Agentic AI, no-code automation, and intelligent testing systems that reduce maintenance overhead and accelerate reliable releases. I’m part of the core team behind Robonito, an AI-powered, no-code testing platform that enables teams to plan, generate, execute, and self-heal tests using natural language—eliminating brittle scripts and heavy automation upkeep. My focus is on helping QA teams move from reactive testing to autonomous, intent-based quality systems, where testing becomes a continuous, intelligent signal for product confidence rather than a last-minute gate.

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