Constrain the Bottleneck Before Adding Bots
Apply Theory of Constraints to a multi-step RPA judgment.
Compound choices A team wants three bots for a loan process, but underwriting approval is the actual queue where work waits for two days. Each decision either reduces or multiplies downstream support load. Theory of Constraints Observe the work, orient to risk, decide the release boundary, act with feedback. The framework keeps the team from treating the first plausible automation as the final design. Shortcut Automate the whole queue because the demo path works. A smaller release teaches faster and fails cleaner. Choose the option that preserves learning and limits irreversible damage. 01 Observe 02 Orient 03 Try Evidence The…
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