Even with modern frameworks like Selenium, Playwright, or Cypress, most testers still deal with fragile locators, flaky scripts, and too much time spent on test upkeep. This session introduces a smarter way forward: Agentic AI that works more like a human — no scripts, no frameworks, and no maintenance overhead.

• Understanding runtime agentic AI test automation
• Being able to articulate the benefits and differences between a co-pilot approach to test automation and a runtime agentic AI approach

In this talk, we'll dive into how robust automated testing and a seamless CI/CD pipeline create the ideal environment for integrating AI that assists engineers in writing and upgrading code. Through a real-world example, you'll see how this powerful combination transformed a lengthy codebase upgrade into a quick and efficient process, showcasing how automation and AI together boost productivity and innovation.

• Understand how a strong automated testing framework and CI/CD pipeline lay the foundation for successful AI integration in software engineering.
• Learn how AI tools can partner with engineers to accelerate traditionally time-consuming tasks, like codebase upgrades.
• Discover real-world examples of how automation and AI together can significantly boost productivity and innovation within development teams.

Role of AI in driving productivity and efficiency in STLC and create a major Uplift to the key KPIs

AI Use cases in QE world, Implementation approach , How client organizations are adopting to this approach (example of A Healthcare company- case study), What results are they seeing with AI Implementation.

Leveraging Power Apps, SharePoint, Power Automate, and Power BI to automate Security, HR, and Business Operations – Without the Dataverse Overhead

During this session, I will be covering the following topics:

• Power Platform Demystified: Introduction to Power Apps, Power Automate, SharePoint Lists, and Power BI – how each tool fits into the automation puzzle.
• License-Smart Automation: How to build powerful, secure apps and workflows without relying on Dataverse – proving that many use cases can be achieved using standard Microsoft 365 licensing and tools you already own.
• Security by Design: Managing access and enforcing governance using Azure AD Security Groups across your Power Platform ecosystem.
• Framework in Focus: A practical 4-part automation framework – Intake (Power Apps), Data Storage (SharePoint Lists), Flow (Power Automate), and Insights (Power BI).
• Automation in Action: Real-world use cases showcasing scalable, secure, low-code business process automation.

• How to build enterprise-ready automation solutions without incurring extra licensing costs.
• Practical ways to design, secure, and govern Power Platform apps using Azure AD groups.
• A modular automation framework that is reusable across departments and use cases.
• Real-world automation examples that illustrate both the potential and pitfalls of Power Platform implementation.

Aneesh Kappadan is a technology leader with over two decades of experience in software engineering, specializing in QA automation, AI-driven testing, and enterprise architecture. He has led enterprise architecture and engineering initiatives at companies like Optum, naviHealth, and Emids, modernizing systems and embedding AI-powered automation into delivery pipelines.

His work focuses on integrating AI and machine learning into engineering and qa —enabling predictive testing, intelligent automation, and continuous delivery. Aneesh is passionate about building scalable, resilient systems and fostering high-performing teams that deliver innovation with speed and precision. He brings a unique blend of strategic vision and hands-on technical leadership, making him a sought-after voice in the intersection of AI, automation, and healthcare technology.

Brian Noah is a Director of Software Engineering with a rich background in building scalable, cloud-native systems across industries like music/film royalties and real estate technology. With a certification in AWS Cloud Architecture, Brian leads engineering teams focused on delivering robust, high-quality software solutions.

At the intersection of innovation and reliability, Brian is passionate about leveraging AI-driven tools and methodologies to enhance software quality and streamline QA processes. His hands-on experience with cloud infrastructure and automation gives him a unique perspective on integrating AI into engineering workflows.

Outside of tech, Brian is a creative at heart—he's building his own home on a small farm, plays guitar, and produces music in his personal recording studio.