Quality Assurance
Automation quality assurance
Define, test and monitor automation quality through verified outcomes, exceptions, duplicate work, error rates and human overrides.
Section
Quality Assurance
Quality Assurance
Checking completion across equipment and access tasks
Verify employee equipment and access tasks using outcome evidence, clear status meanings and a final case reconciliation.
Quality Assurance
Checking whether an automation creates duplicate work
Trace business items through retries, manual handoffs and destination records to find unintended duplicate actions and tasks.
Quality Assurance
Defining a safe process for disabling an automation
Set stop authority, verify that automated action has ceased, classify affected items and reconcile outcomes before restart.
Quality Assurance
Measuring correction work after automated processing
Count document corrections, active repair time and downstream rework with consistent denominators and case references.
Quality Assurance
Measuring error rates before and after automation
Define a business error rate, keep denominators and review coverage comparable, and interpret before-and-after results carefully.
Quality Assurance
Measuring realised value rather than forecast savings
Compare an automation forecast with observed work and outcomes, separating released capacity from confirmed spending effects.
Quality Assurance
Measuring time from request to approved order
Define request-to-approved-order time with clear events, split-order rules, intake delays and separate supplier-release reporting.
Quality Assurance
Reviewing finance automations with responsible specialists
Finance automation needs periodic review by people who understand accounting, operations and system behaviour.
Quality Assurance
Testing exceptions before a process goes live
Build safe exception cases and check the held state, owner, destination result and route to resolution before an automation goes live.