Add voice AI to a contact center, and you could measure hundreds of metrics, but only a handful truly matter. Cost per resolution instead of cost per call. Every call answered, including the 2:00 AM inquiries and unexpected demand spikes. Increased coverage, improved containment, higher customer satisfaction, and even revenue growth. The challenge isn’t finding metrics; it’s knowing which ones actually move the needle for your business.
Join fellow CX leaders for a highly interactive Virtual Executive Roundtable as we explore how to identify, prioritize, and measure outcomes that matter most. Together, we’ll discuss which metrics move the P&L for your organization, which should anchor your business case, which are simply vanity metrics, and how to set realistic expectations for AI success over time.
For teams investing in voice AI, the opportunity extends well beyond cost savings. Many are progressing from reducing operational costs to improving coverage, increasing revenue through recovered calls and faster speed-to-lead, and scaling proactive outbound engagement at scale. We’ll also examine how these outcomes typically unfold over time (what to expect in the first few weeks, the first quarter, and beyond) so you can measure success against the right milestones.
Key discussion points:
- Which voice AI outcomes should take priority and why the answer varies by organization.
- How to distinguish meaningful business outcomes from vanity metrics.
- The evolution from cost savings to revenue generation, and what it takes to reach each stage of maturity.
- Setting realistic expectations for when key results, such as coverage, containment, workforce efficiencies, and CSAT, typically emerge.
You’ll leave with:
- A clearer understanding of the two or three metrics that should anchor your voice AI business case.
- Practical guidance for separating meaningful business impact from misleading performance indicators.
- A realistic timeline for evaluating success across month one, quarter one, and year one.
- Insights from your peers on which outcomes delivered the greatest value, and which metrics proved less meaningful
- The opportunity to exchange ideas and benchmark with director-level and above CX leaders navigating similar AI initiatives