The Scalable Quality Blueprint
Architecting Next-Generation Test Automation
Ronak Ray
VP, Quality Assurance & AI Strategy, Forbes
About Me: Ronak Ray
Ronak Ray is the Vice President of Quality Assurance and AI Strategy at Forbes, where he leads the evolution of quality engineering across the organization. With over a decade of experience in building scalable automation frameworks and driving digital transformation, Ronak has grown QA from the ground up into a high-impact team of 35+ engineers.
Under his leadership, Forbes achieved an 85% automation coverage and accelerated release cycles by over 20x through robust CI/CD practices. In his current role, Ronak also spearheads AI strategy, integrating generative AI into quality workflows to enhance test generation, flakiness detection, and release confidence. A strong advocate for shift-left testing, continuous delivery, and intelligent automation, Ronak blends deep technical expertise with a strategic vision for the future of software quality.
10+
Years of Experience
35+
Engineers in QA Team
20x
Faster Release Cycles
The Automation Crisis
Traditional test automation is failing. The strategies that brought us here are no longer sufficient.
23%
Automation Effectiveness
(World Quality Report, 2023)
This isn't a tooling problem. It's a symptom of brittle tests, eroded confidence, and a flawed strategy.
The Objective
What is the primary purpose of writing automated tests?
- Reduce manual testing time?
- Give feedback of test failure faster?
- Increase release velocity?
Plan Around your Objectives
Project Scope
- What features needs to be automated
- Platform/Environment to be covered
Evaluate Technology Stack
- Determine Tools/Frameworks
Test Coverage Strategy
- Outlines which aspects of the application will be tested and to what extent
- e.g. Functional, Integration, Regression, performance etc..
Test Data Management
- Where is test data getting sourced
Integration with CI/CD Pipelines
- How tests will be triggered, reported and failures are handled.
Monitoring and Maintenance
- How Test results will be monitored and who will be responsible for maintenance.
Do Not Over-Engineer
Excessive Abstraction
- Makes it harder to understand and maintain
Feature creep
- Adding feature to testing, which are not essential to project testing needs
Over optimization
- Spending excessive time optimizing the performance of the framework
Excessive Customization
- Making bloated configuration interface makes framework more difficult to use.
Start with MVP, Add features as needed as project keeps evolving.
The Mission: From QA to Quality Engineering
We must evolve from being end-of-cycle gatekeepers to proactive enablers who build quality in from day one.
The Goal
- ✔️ Reduce manual testing time
- ✔️ Get faster, reliable feedback
- ✔️ Increase release velocity
The Proof (Forbes Case Study)
- 85% Reliable Automation Coverage
- 20x Faster Release Cycles
The Four Pillars of Scalable Quality
A modern strategy is a holistic system addressing technology, process, and culture.
🏛️ The Architectural Foundation
💡 The Intelligence Layer
⚙️ The Engine Room
🤝 The Human Element
Pillar 1: The Architectural Foundation
API-First & The Test Pyramid
Quality starts with testability. An API-first approach creates a testable foundation, while the Test Pyramid guides a smart testing strategy for microservices.
Manual & Exploratory
UI & API Testing
Integration Testing
Component Testing
Unit Testing
Pillar 2: The Intelligence Layer
Supercharging with GenAI
Generative AI is a force multiplier, automating test creation, predicting risk, and fixing broken tests automatically.
The Breakthrough: Self-Healing
AI automatically detects and repairs broken tests caused by UI changes, killing brittleness and maintenance costs.
GenAI Adoption in QE is Now Mainstream
From PRD to Test Cases in Seconds
Save brain power and accelerate test creation by 2x or more.
Product Requirement Doc (PRD)
Generated Test Cases
Generating with Gemini...
AI-Powered E2E Testing with Playwright
Automate browser interactions by generating robust tests from high-level descriptions or existing code.
The Goal: From Natural Language to Test
"Verify a user can add two items to the cart and see the correct total with tax."
The Future: Playwright MCP Server
- An AI Agent receives the plain-English command.
- The MCP Server provides the Agent with live context of your app's UI components.
- The Agent uses this context to autonomously write and execute a Playwright test.
- Result: QA engineers can write code and get a head start.
AI-Generated Playwright Test
Generating Playwright Test...
Pillar 3: The Engine Room
Optimizing the CI/CD Pipeline
Engineer your pipeline for speed and stability. Use Test Impact Analysis (TIA) to run fewer, smarter tests, then use parallelization to run them faster.
Pillar 4: The Human Element
A federated model fosters shared ownership instead of blame.
Forging a Culture of Shared Quality
Technology fails without the right culture. "Shift Left" by finding bugs earlier, when they are exponentially cheaper to fix.
Adopt a Federated Quality Model: a central QE Center of Excellence builds the platform, empowering product teams to own quality.
The Exponential Cost of a Bug
The Maturity Roadmap
Transformation is a journey. Follow this phased roadmap.
Phase 1: Foundation (Months 1-6)
Establish QE CoE. Mandate TDD & AI assistant training. Instrument baseline quality metrics.
Phase 2: Expansion (Months 7-18)
Roll out federated model to pilot teams. Integrate Test Impact Analysis into CI. QE CoE begins coaching.
Phase 3: Maturity (Months 18+)
Full adoption of federated model. Implement AI-driven failure triage. Tie quality metrics to team goals.
Actionable Recommendations
1. Mandate API-First
Make the API contract the first artifact of any new feature.
2. Build a QE CoE
Restructure QA to be a platform and enablement team.
3. Launch a GenAI Initiative
Prioritize self-healing tools and equip all devs with AI assistants.
4. Implement TIA
Reduce test volume first, then use gains to fund parallelization.
5. Fund Training
Invest in a formal training curriculum to drive cultural change.
Q&A
Thank You