Rajiv Gupta
October 7, 2026
The bust: UAT is unquestionably a safeguard. But calling it a backstop mistakes the last line of defense for a strategy. By the time a problem surfaces in UAT, it has stopped being cheap to fix months ago.
That's because the gaps UAT catches don't form in UAT. They form in requirements that were ambiguous from the start. In design decisions that contradicted an assumption two workstreams over. In scope interpretations that drifted quietly between workshops and were never reconciled. By the time a tester flags the discrepancy, the build is done, the integrations are in place, and the cost of unwinding it has compounded at every step. UAT didn't find a problem. It confirmed one that had been forming for months.
The deeper issue is what the backstop framing does to the program's posture. When teams believe UAT will catch what slips through, they build with that assumption baked in. Requirements get less scrutiny because testing will surface the gaps. Design reviews move faster because UAT will catch the mismatches. The backstop becomes a reason to move with less precision upstream, which is precisely where precision matters most.
A gap caught in requirements is a conversation. The same gap caught in UAT is a crisis with a budget attached and a go-live date in jeopardy.
Axiamatic reads requirements, design documents, and testing assets together — connecting what was promised to what was built, and flagging the discrepancy where it formed instead of where it landed.
The programs that finish clean aren't the ones with the most rigorous UAT. They're the ones that ran out of gaps to find before testing started.
