AI Voice Agent Strategy & Business Value

This section takes the strategic view of automating inbound calls: which calls to start with, how an AI voice agent differs from a classic IVR, building an honest ROI case, what to test in a vendor demo, and which sensitive calls should stay with a person.

The articles are written for call center leaders and decision-makers. The product side is on the AI call center page, and how results are measured is on analytics.

6 of 6 posts shown

Voice agent strategyVoice agent strategy

September 30, 20267 min read

Choosing an AI call center vendor: a demo checklist

An AI call center software checklist: questions to ask in a demo on language, scenario, handoff, telephony, privacy and pilot, plus red flags.

Voice agent strategyVoice agent strategy

September 30, 20267 min read

AI voice agent vs classic IVR: what is the difference and which to choose

AI voice agent vs IVR: comparing a keypad menu and a conversational agent by call type, the hybrid model, and five questions for choosing.

Voice agent strategyVoice agent strategy

September 30, 20267 min read

When an AI voice agent should not replace a human: sensitive calls

When not to use an AI voice agent: the human's role in medical, financial, complaint and sensitive calls, a four-level escalation matrix and checks.

Voice agent strategyVoice agent strategy

September 30, 20266 min read

Which calls to start an AI call center with: a selection matrix

AI call center use cases: a scoring matrix on volume, repetition, risk, information and escalation, and the first call types for a pilot.

Voice agent strategyVoice agent strategy

September 30, 20267 min read

7 common mistakes in inbound call automation

Inbound call automation mistakes: long intros, menus with no exit, repeated questions, weak fallback, no knowledge source, hours and unmeasured pilots.

Voice agent strategyVoice agent strategy

September 30, 20266 min read