Overview:
A working session on the discipline behind AI-enabled process improvement. We cover process mapping at the level a working team can actually do - not a six-month Six Sigma engagement - then move to improvement decisions, then to automation choices. The session treats AI as one tool among several and is explicit about where automation pays off, where it does not, and where it quietly creates new failure modes. Drawn from the EPM Doctrine's process discipline and from current practice with AI-augmented workflows.
Why you should Attend:
Automating a broken process makes it broken faster. Teams across every industry are wiring AI into workflows they have never actually mapped, then wondering why the rework, the exceptions, and the silent failures keep multiplying. If you cannot draw your process on one page, you are not ready to automate it - and the AI vendors will not tell you that.
Areas Covered in the Session:
- Why most process improvement initiatives fail - and how to avoid the usual traps
- Lightweight process mapping: getting a real workflow onto one page in under an hour
- Reading a process map: bottlenecks, rework loops, handoff failures, and decision points
- Improvement before automation: what to fix, what to remove, what to leave alone
- Automation decisions: rules-based versus AI-based, with and without a human in the loop
- Where AI agents and copilots fit in a workflow - and where they create more problems than they solve
- Measuring results: cycle time, error rate, exception rate, and rework
- A repeatable map-improve-automate sequence your team can run on any process
Who Will Benefit:
- Project Managers and Program Managers
- Business Analysts and Process Analysts
- Operations Managers and Operations Excellence Leads
- Continuous Improvement and Lean/Six Sigma practitioners
- Functional Managers responsible for workflow design
- PMO Directors and Heads of Delivery
- Digital Transformation and Automation Leads