The breaking points of voice AI deployments (and how to avoid them)
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The breaking points of voice AI deployments (and how to avoid them)
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Many organizations have deployed Voice AI but are struggling with performance, adoption, and ROI. The challenge is rarely the technology; it’s the operational system surrounding it.
In this session, boost.ai and Metric Sherpa examine why Voice AI underperforms when layered onto fragmented routing, unclear ownership, and weak feedback loops. We will discuss why traditional IVR and early voice models are failing and how modern architectures require tighter alignment between design and execution.
Key discussion points:
- How prioritizing quick wins creates friction for both customers and frontline staff.
- Moving beyond automation to redefine roles and establish governance that connects CX, product and operations.
- How to build a scalable system where automation and human agents work together through continuous feedback and operational discipline.
Speakers:
- Justin Robbins, Founder & Principal Analyst, Metric Sherpa
- Samuel Danby, Solutions Engineer – Voice Lead, boost.ai
- Host: Kristian Anders Wilhelmsen, Employee Enablement Manager, boost.ai
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