Beyond Theory: Architecting the AI-First Future for Testing
The QA Leadership Summit 2026 marks the definitive shift from theory to decisive operational transformation. This forum invites both engineering executives and hands on practitioners to harness AI based agentic workflows for unprecedented speed and precision. It creates a collaborative space for forward thinking teams to pivot towards AI native excellence, ensuring that technical execution aligns perfectly with strategic business goals for everyone involved in the delivery cycle.
Join a vibrant global ecosystem of fellow testing minds to dissect the forefront of technological advancement. Through immersive demos and expert workshops, participants of all levels will move beyond observation to practical application, mastering AI within their daily testing workflows. This summit serves as a strategic crucible for networking and gaining actionable insights, empowering you to help lead an AI first organization with confidence and authority.
Anchoring this vision is the BrowserStack AI Test Platform. Powered by 20+ connected AI agents, it streamlines the entire lifecycle from data driven Test Planning and rapid Test Creation with 97% accuracy, to self healing Test Execution and intelligent Test Debugging. This unified ecosystem integrates once to connect everything, consolidating disparate tools into a single engine that drives quality.
SPEAKERS
Júlio de Lima
Quality Engineering Manager, Capco, USA
Sukumaran Sankaran
QA Director, Oracle
Nilesh Yeola
Quality Engineering & Testing, India Practice Head, Capgemini Financial Services
Anish Behanan
Quality Engineering & Testing, Global Practice Head, Capgemini Financial Services
Deepak Koul
Senior Engineering Manager, Red Hat
Janna Loeffler
Director of QE, Walt Disney
Lalit Madan
Sr. Director, Subway
Gauri Gupta
Sr. Manager, Oracle
Dhimil Gosalia
Vice President, Browserstack
Snehal Thakkar
Sr. Director – Automate, Browserstack
David Burns
Head of Developer Relations, Browserstack
Sreenivas Karthikeyan
Principal Product Manager – A11Y, BrowserStack
Akhil Gundawar
Director of Product – Test Automation, BrowserStack
Rajesh Chilka
Product Manager – Low Code Automation, BrowserStack
AGENDA
Opening note
Join us for the opening note, where we’ll showcase how BrowserStack’s unified Test Platform empowers developers and testers to deliver quality software at speed.
AI-Native QA: From Pilot to Pipeline
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Dhimil GosaliaVP of ProductsBrowserStack
Stop “exploring” AI and start embedding it. Join Dhimil Gosalia, VP of Product at BrowserStack, to learn how to integrate AI deep into your development flow. Discover how AI-native strategies move beyond basic automation to eliminate bottlenecks, self-heal suites, and drive relentless release velocity. Shift from experimental tools to an intelligent ecosystem that makes high-quality deployments the standard, not the struggle.
The AI-First Blueprint: Engineering the Next Era of Software Quality
- Akhil GundawarDirector of Product - AI initiativesBrowserStack
- Lalit MadanSr. DirectorSubway
- Gauri GuptaSr. Practice ManagerOracle
Join Lalit Madan and Gauri Gupta for a deep dive into shifting QA from “indefinite piloting” to high-impact execution. This session explores real-world AI integration, overcoming scaling hurdles, and securing executive buy-in. Discover the non-vanity metrics and specific experiments that define a truly AI-first testing strategy
Beyond the Final Check: Engineering Quality at Scale
- Janna LoefflerDirector of QEThe Walt Disney Company
- David BurnsHead of Developer RelationsBrowserStack
Move beyond “indefinite piloting” to true execution. This session explores embedding quality into the entire product lifecycle and scaling AI-driven pipelines. Join us to discover the non-vanity metrics and strategic decisions that differentiate successful AI integration from mere hype
Velocity Without Complexity: Architecting an AI-First Low-Code Strategy
- Rajesh ChilkaProduct Manager, LCABrowserStack
- Deepak KoulSenior Engineering ManagerRed Hat
As organizations strive for rapid delivery, the bottleneck often lies in the technical barrier of traditional automation. Join this session to explore the strategic integration of Low-Code Automation (LCA) and AI in modern QA workflows. We dive into how LCA empowers non-technical stakeholders to contribute to high-velocity testing while solving complex challenges in accessibility and visual validation.
Engagement activities
Tune in for exciting Quizzes and games
Accessibility: From Goodwill to Business Imperative
- Anish BehananQuality Engineering & Testing, Global Practice HeadCapgemini FS
- Sreenivas KarthikeyanGroup Product Manager – A11YBrowserStack
- Nilesh YeolaQuality Engineering & Testing, India Practice HeadCapgemini FS
With EAA and SEBI (2026) making accessibility a legal imperative, “fixing it later” is no longer an option. Join industry leaders to explore how AI-driven Quality Engineering automates inclusion, moving compliance from a post-launch hurdle to a pre-code standard that drives global business value at scale.
Mastering MCP: Building AI-Native Automation Workflows
- Júlio de LimaQuality Engineering ManagerCapco, USA
Learn to accelerate API test automation using AI assistants and Model Context Protocol (MCP). This session demonstrates how to bridge GitHub specs and Jira requirements to generate executable Mocha/Chai tests. Discover a practical workflow for correlating engineering artifacts to build robust, automated test suites faster.
The Future Role of QA Leaders in an AI-Driven World
- Sukumaran SankaranQA DirectorOracle
- Snehal ThakkarSenior Director - AutomateBrowserStack
The next generation of enterprise leadership isn’t just asking how AI can help them test faster; they are asking how to ensure the AI their business builds is reliable. This Leadership session explores the evolution of the QA mandate in a world where AI is both the tool and the target.
Opening note
Join us for the opening note, where we’ll showcase how BrowserStack’s unified Test Platform empowers developers and testers to deliver quality software at speed.
Everyone Adopted AI. Who Actually Got Better?
- Dhimil GosaliaVP of ProductsBrowserStack
- Saurabh MitraGlobal Head – QARamco Systems
The tech industry rushed to adopt AI, but usage dashboards don’t equal business results. Without a real quality layer, teams are simply shipping software failures faster downstream to customers. Discover what elite teams do differently to shift from “tokenmaxxing” to real outcomes, turning fragmented code generation into deterministic, revenue-driving software velocity.
Crack AI Agent Testing: Speed, Scale & COE Guardrails
- Akhil GundawarDirector of Product - AI initiativesBrowserStack
- Sobhitha NeelanathSenior Manager, Software EngineeringSalesforce
- Rayan SmithDirector of Engineering, QATwin Health
Discover how to transition toward faster delivery cycles while testing complex AI Agents using AI. Learn to overcome cross-product integration challenges, apply domain knowledge to stitch end-to-end tests, and navigate centralized COE security guardrails when scaling AI test automation.
Supercharge Your Jira: AI-Powered Test Management with BrowserStack
- Rahul ChovvaGroup Product ManagerBrowserStack
This session demonstrated BrowserStack Test Management for Jira, an AI-powered, native Jira app designed to streamline the software testing lifecycle. Attendees learned how its embedded AI agents auto-generate test cases from project requirements, accelerate test creation by 90%, ensure end-to-end traceability, and deliver actionable insights through customizable, real-time reporting dashboards.
Engagement activities
Tune in for exciting Quizzes and games
AI Amplifies Speed, So Why Are Rollbacks Up?
- Nathen HarveyDORA LeadGoogle Cloud
- Snehal ThakkarSr. Director – AutomateBrowserstack
While 90% of developers actively use AI to amplify productivity, only 24% highly trust the output. With code generation outpacing verification, rollbacks are increasing. Discover how QA teams must adapt by providing human oversight, verifying AI-authored tests, eliminating quality theater, and preparing for autonomous agents.
AI Harnesses for Reliable Testing: From Governance to Validated AI Quality
- Ajesh ViswambharanDirector Quality EngineeringBrowserStack
- Maryna DidkovskaSenior Director, AI & Quality EngineeringEPAM Systems
- Harleen BediCTO – Quality EngineeringInfosys
Discover how AI harnesses help engineering teams move from experimentation to production-ready AI. This session covers governance frameworks, validation techniques, observability, test coverage, quality metrics, and implementation best practices for building reliable, scalable AI-powered quality engineering workflows.
Engagement activities
Tune in for exciting Quizzes and games
Automation Maturity Model: Building Scalable Test Automation
Master a practical roadmap for advancing test automation across five maturity levels. Discover how leading engineering teams improve collaboration, modernize frameworks, leverage cloud infrastructure, measure automation health, and implement scalable quality engineering practices that drive faster, more reliable software delivery.
AI-Assisted Test Generation in the IDE: From Prompt to Validated Coverage
- Júlio de LimaQuality Engineering ManagerCapco, USA
See how AI-assisted testing can move from prompt to execution within the IDE. This workflow demonstration covers structured test generation, coverage design, hallucination control, duplicate-test prevention, traceability, execution, and result validation. Learn practical techniques to improve consistency, reliability, and maintainability across functional, exploratory, and automated testing workflows for QA teams.
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