The ROI of Quality: Understanding why production bugs are so expensive

Hi team,

We often talk about AI and speed of delivery, but I’ve been looking into the financial impact of what happens when that speed leads to production errors.

It’s a well-documented fact that the cost of software bugs increases exponentially the later they are discovered. According to industry data, fixing a bug in production can be 100x more expensive than catching it during the design phase. This isn't just lost developer time—it's customer trust and operational overhead.

I’ve found a very detailed breakdown of these costs that helps in justifying QA budgets and choosing the right testing strategy.

Check out the full analysis here: https://testomat.io/blog/software-bug-cost/

How do you guys manage the balance between rapid deployment and the potential financial risks of production defects?