AI for Continuous Improvement
Enable practitioners to use AI to analyse processes, find root causes, design performance indicators, use predictive insights responsibly, and run PDCA improvement cycles with corrective action that lasts.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Use AI to analyse process data, event logs and free text to establish a baseline and find where problems occur
- Conduct root cause analysis with AI as a facilitator, testing causes with evidence rather than accepting plausible stories
- Define performance indicators with operational definitions, balancing measures and an understanding of variation
- Evaluate predictive AI insights for usefulness, error trade-offs and fairness before acting on them
- Plan and run PDCA cycles with small tests of change, using AI to support each phase
- Implement corrective actions and control plans that sustain improvement
- Complete an AI-supported continuous improvement project with a responsible AI use log