Achieving operational excellence with AI

According to MIT Tech Review, traditional operational excellence frameworks like Lean Six Sigma and Business Process Management (BPM) are being transformed by AI. These older methods relied on static maps and periodic statistical checks, but AI introduces dynamic, data-driven continuous improvement. The article argues that AI can analyze real-time operational data to detect bottlenecks, predict failures, and suggest process refinements—making excellence an ongoing adaptive practice rather than a one-off project. For builders creating AI workflows, this means integrating AI agents or automation into operations can yield significant efficiency gains. The piece emphasizes that AI doesn't replace existing methodologies but enhances them with greater scalability and speed. Practical takeaways include using AI to monitor KPIs, automate routine decisions, and simulate process changes before implementation. Builders should focus on connecting AI models to live operational data and designing feedback loops that allow the system to learn and improve over time. This aligns with the broader trend of embedding intelligence into everyday business processes.