From Capacity Planning to Decision Support: Multi-location planning and the role of AI in a 2027 business case

Tuesday Nov 10, 4:00 PM – 5:00 PM Eastern — REGISTER NOW!

2027 planning is underway, and the stakes are high: shifting volume to lower-cost sites, consolidating centers, integrating acquisitions, or counting on savings from AI. These moves look clean in a network-level model. Once you factor in attrition, ramp time, skill mix, and service-level exposure, the savings can shrink, disappear, or turn into a service problem nobody budgeted for.  

Dr. Mark Alpern walks through real multi-location planning scenarios where the obvious answer and the right answer turned out to be different, and shows how to catch the difference before you commit. The session also covers what AI can and cannot do in planning: where it strengthens workforce insights drawn from your own plan data, where the risks sit, and how customer data has to be handled to hold up internally.   

You’ll learn:

• The assumptions that most often break a multi-location business case
• How to frame trade-offs between locations in the cost and service terms executives act on
• How to compare competing options side by side, including where AI-driven capacity gains should actually go
• How to plan capacity across AI agents and human agents, and where handoff rules change your staffing requirement
• Where AI fits across planning horizons, from interval-level tactics to long-range strategy

Walk away with a checklist to pressure-test your next capacity decision. Bring your own scenario to the live Q&A.