Achieving operational excellence with AI
TL;DR
The article frames AI as the next layer after Lean Six Sigma and BPM: not just documenting processes, but continuously measuring, analyzing and improving them. Core claim: traditional methods bring order to complex operations, but struggle when data, teams and decisions move in real time across departments. AI is positioned as a way to make operational excellence more dynamic through pattern detection, automation, prioritization and faster workflow adaptation.
Nauti's Take
This reads like process religion with an AI upgrade. For builders, the value is not another dashboard, but the hard question: which decision can the system actually make faster, better, or more autonomously?
Without real measurement points, operational excellence is just BPM with a shinier pitch deck.
Briefingshow
Operational excellence used to mean workshops, process maps and quality metrics. AI pushes it toward continuous operational intelligence: systems can spot friction earlier, recommend interventions and trigger routine decisions. The real test is whether companies have clean enough data, ownership and controls, so speed does not simply amplify existing mess.
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