Find repeated operational friction
Look for copied data, status chasing, repeated document creation, predictable routing, scheduled reconciliation, and high-volume checks. Measure frequency, handling time, delay, and error impact.
Do not rank candidates by annoyance alone. A small frustration may not justify an integration that becomes expensive to operate.
Redesign before automating
Map triggers, inputs, decisions, owners, outputs, exceptions, and completion. Remove unnecessary approvals and duplicate capture before encoding the process.
If teams disagree about the normal path, the process is not ready for rigid automation. A guided workflow may be the better first step.
Build failure into the design
External systems time out, records conflict, and requests are repeated. Define idempotency, retry limits, exception queues, reconciliation, alerts, and support ownership.
An automation that silently stops is worse than a visible manual process because teams assume work is complete.
Measure the whole workflow
Measure cycle time, touch time, error correction, exception volume, support effort, and outcome quality. Automation can shift work to reviewers or administrators instead of removing it.
Use observed exceptions to improve rules and decide whether further automation, AI assistance, or process change is justified.