7th NA Huddle – From 72 Hours to 3.5: A Quality-Driven Redesign

7th North America Huddle – From 72 Hours to 3.5: A Quality-Driven Redesign of Retroactive Billing

What if the real reason a system is slow isn't the amount of work it does, but the way that work is designed?

This session explores how a retroactive billing process in a healthcare platform was redesigned to reduce processing time from approximately 72 hours to 3.5 hours. By separating calculations from invoice generation and treating testability as an architectural priority, the team improved performance while maintaining rigorous quality and financial validation.

The huddle also explores how AI can simplify mobile automation, turning plain-English test ideas into executable tests while keeping team standards and human judgment central to the process.

Event Details
- Date: 4 November 2026
- Time: 12:00 PM ET
- Venue: Online – Zoom Webinar

Session 1 – From 72 Hours to 3.5: A Quality-Driven Redesign of Retroactive Billing

Speaker: Vinitha Kalappurakkal

The session examines how architectural decisions can make complex systems easier to test and dramatically faster to operate.

You’ll explore:

• Why an untestable system can be the root cause of slow validation.
• How decoupling retroactive calculations from invoice generation enabled independent verification.
• How a ten-gate quality framework aligns validation with architecture.
• How the redesign reduced processing time by approximately 95% without sacrificing validation rigor.
• How the same principles apply to other slow, tightly coupled processes.

Session 2 – Prompt to Passing Test: AI-CLI-Driven Mobile Automation

Speaker: Srikanth Srinivas

What if you could turn a plain-English test idea into a working mobile automation test without writing the test code yourself?
In this hands-on session, discover how an AI command-line assistant can work with WebdriverIO and Appium to generate an asserting test and execute it on a real Android device.

You’ll learn how to:

• Turn plain-English test intent into executable mobile automation.
• Guide AI-generated tests using simple team conventions.
• Review AI-generated code with the same rigor as a pull request.
• Identify where human judgment remains essential.
• Observe mobile test runs at scale through a shared BrowserStack cloud device dashboard.

How This Huddle Solves Your Problem

• Testing complex systems takes too long? Learn how designing for testability can improve both validation and performance.
• Mobile automation feels too specialized? Explore how AI can translate test intent into working automation.
• Concerned about trusting AI-generated tests? See how team standards and human review can keep quality in focus.
• Struggling with tightly coupled systems or repetitive test creation? Discover practical approaches to making systems easier to validate and automation more accessible.

Why Show Up on 4 November?

• Discover how a 72-hour billing process was reduced to approximately 3.5 hours.
• Learn why testability should influence architecture, not just testing strategy.
• See how AI can move mobile automation from prompting to execution on a real device.
• Understand how human oversight and team standards remain essential in AI-assisted testing.
• Take away practical ideas for improving system performance, testability, and automation workflows.

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