Our People, Your Advantage

 

At the center of the Start Smart, Scale Strategically, Win Big methodology is a hands-on, collaborative partnership - powered by TestFly’s expert team of SDETs (Software Development Engineers in Test), automation architects, and AI specialists.

These professionals aren’t just add-ons to your QA team - they become integrated, strategic partners who co-develop the systems, automation layers, and data strategies needed for lasting AI success.

By embedding early in the development cycle, our experts help our clients:

  • Identify AI-Ready Opportunities: We work side-by-side with your developers and QA leads to uncover high-friction areas - like smoke testing, regression cycles, bug triage, and gameplay testing loops. These initial "quick win" opportunities create momentum and trust.

  • Design for Scalability: Rather than layering AI on top of outdated systems, we help teams build scalable test frameworks from the start. That includes tagging meaningful telemetry, organizing structured bug data, and aligning with your CI/CD pipeline to support advanced use cases like anomaly detection and predictive QA.

  • Prototype with Purpose: TestFly champions a lean, iterative approach to prototyping. Our teams build lightweight automation tools that solve immediate problems while laying down the foundation for more sophisticated AI systems, including machine learning and reinforcement learning models.

  • Partner for Long-Term Growth: We don’t believe in black-box AI. We believe in collaboration, transparency, and building internal team confidence. Our goal is to ensure that your team understands and participates in the AI journey, so you can sustain, evolve, and scale your success.

By putting TestFly’s embedded experts at the heart of your QA process, you’re investing in more than just tools - you’re building a partnership with specialists who understand both the technical depth of AI and the human realities of modern game development.

This is how we help our clients not only adopt AI in QA - but adopt it the right way: with purpose, precision, and long-term value.

What follows is a practical roadmap of how this strategy comes to life - from your first smoke test automation to predictive, intelligent QA. Whether you’re just starting or ready to scale, this guide is designed to help you start smart, scale strategically, and win big.

We meet clients where they are - whether they’re just starting with automation or ready to scale advanced AI initiatives. This roadmap is flexible - clients can plug into the phase that aligns with their current tools, workflows, and strategic goals.

 
Jacob Ferguson