Claude · MIT Technology Review
Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity
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Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how work should flow across departments.
Key facts
- In one study, a full 88% of business leaders anticipated increasing investments into AI-infused process intelligence in the next 12 to 18 months
- Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how work should flow across departments
- This content was produced by Insights, the custom content arm of MIT Technology Review
- Simply put: AI can accelerate process excellence, but existing process excellence is what makes AI truly impactful
Summary
Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. But today, those time-tested playbooks are evolving as companies seek to embed AI into established process excellence methodologies. Yet without the right foundations, many of those investments may not fully deliver on their potential. Simply put: AI can accelerate process excellence, but existing process excellence is what makes AI truly impactful. This content was produced by Insights, the custom content arm of MIT Technology Review. AI tools that may have been used were limited to secondary production processes that passed thorough human review.