Munchkin, Inc. Innovation & Technology Culture

What’s your rule for fast, safe releases — and what KPI proves it works?

At Munchkin, speed and safety aren’t trade-offs — they’re designed to work together. Our approach to releasing any new technology is built on a thoughtful blend of automation and human expertise, with a clear goal in mind: delivering a higher-quality, more reliable experience for our customers. As an example, we leverage AI to automate a significant portion of our website quality review to catch issues earlier and more consistently before they ever reach users. This automation helps us proactively identify potential gaps in functionality, performance and usability — directly enhancing the customer experience. But automation is only the first layer. Every release includes a human-in-the-loop review, where our QA partners and engineers validate results, review code and assess security. Rather than replacing human oversight, we use AI to strengthen it. Automation handles repetitive and time-intensive checks, allowing our teams to focus on higher-impact reviews that consider real-world usage, edge cases and customer impact. This approach allows WhyBrand to continue advancing AI automation responsibly, while keeping people — and the customer experience — at the center of everything.

What standard or metric defines “quality” in your stack?

At Munchkin, quality is not an afterthought — it’s engineered into everything we build. We define quality as the intersection of reliability, security, usability and real-world adoption. As a technology-forward company, we rely on AI automation to raise the bar on how software is built and released. This automation strengthens our foundation, but it doesn’t replace human judgment. Every release is reviewed and validated by experienced engineers and QA partners to ensure accuracy, accountability and customer readiness.

Quality is equally measured through a business and user lens. Adoption and engagement are critical signals — if a solution ships but isn’t actively used, it doesn’t meet our standard. High usage, strong internal feedback and minimal post-release issues demonstrate that a product is not only technically sound, but thoughtfully designed for real-world needs. Ultimately, quality isn’t defined by a single metric or tool. It’s defined by our ability to combine advanced AI automation with human expertise to deliver secure, dependable systems that people trust, use and rely on every day.

Name one AI or automation that shipped recently and its impact on your team or the business.

One of the most impactful AI automations recently launched at Munchkin is an intelligent, always-on security monitoring system designed to keep pace with an increasingly complex cyber security work. The system continuously scans global security news, breach disclosures and vulnerability feeds, then uses AI to instantly cross-reference that intelligence against our real application and vendor ecosystem.

The results have been transformative. The automation dramatically reduced manual effort, accelerated response times and moved our security posture from reactive to proactive. Potential risks are identified earlier, prioritized more intelligently and addressed with confidence before they escalate.

Today, this AI-powered system serves as a trusted internal intelligence layer across the organization — enabling faster awareness, smarter prioritization and more decisive action. It’s a clear example of how Munchkin uses AI not just to automate tasks, but to elevate how we protect our technology, our teams and our customers.