FAT and SAT are where automation projects often lose time—not due to failures, but due to unclear verification scope, untracked changes, and ambiguous evidence. This article explains how verification readiness in industrial robotics can reduce acceptance delays, align reviewers, and deliver measurable ROI without adding compliance burden.
OMI Insights
Why Your FAT Went Sideways (Even Though Everything Passed)
You’ve seen it happen. Maybe last month, maybe last week. The system works. Every test passed. The documentation is complete. And yet, somehow, the acceptance review turns into a three-hour interrogation, as the customer’s technical lead asks questions nobody anticipated, and you’re watching your team scramble to find evidence that you know exists somewhere. The […]
Independent Technical Review of the Orbital Methods Index Verification Coverage Map Framework (Early Release)
An independent technical review of the OMI Verification Coverage Map framework, assessing its structure, discipline, and limitations as a non-prescriptive reference for verification discussions.