Achieving operational excellence with AI
TL;DR
The piece frames AI as the next stage of classic operational-excellence methods such as Lean Six Sigma and BPM: less static process mapping, more continuous analysis of how work actually moves. Lean Six Sigma brought measurement and quality control, while BPM made cross-functional workflows visible. AI is positioned as a way to spot patterns, bottlenecks, and deviations faster than teams can track manually.
Nauti's Take
The interesting point is not that AI replaces Lean Six Sigma or BPM. The real question is whether it closes the gap those methods always had: processes get modeled, but daily work does not obey the model.
Without clean data, clear ownership, and the willingness to actually change workflows, this remains another efficiency story for strategy decks.
Briefingshow
Operational excellence usually does not fail because companies lack frameworks; it fails because processes decay after rollout. AI can help if it continuously reads real work signals instead of merely producing new dashboards. The key question is whether companies use it to make better operating decisions or just repackage old process-optimization language.
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