Question 1

What is agentic voice AI?

Accepted Answer

Agentic voice AI embeds automation at the origin of voice itself: it can lead conversations and make decisions, easing the human workload while automatically feeding the conversation data flywheel. Unlike traditional IVR menus or text-based chatbots, agentic voice AI leads the conversation and completes the task itself rather than following a fixed script.

Question 2

How many businesses have deployed agentic voice AI?

Accepted Answer

Of the leaders we interviewed, over half (57%) have actively deployed voice agents across internal and external channels, and another 10% are in early-stage pilot phases with voice AI. Just under a third (32%) are still evaluating adoption.

Question 3

What are the most common use cases for voice AI agents?

Accepted Answer

Businesses start by assigning agents to the highest-volume, most repetitive, lowest-complexity tasks first, usually in external-facing channels. The most common use cases named are general customer support and service inquiries, followed by appointment scheduling, call routing and intake triage, and automated reminders and follow-ups. Once agents prove themselves there, leaders look for places to expand their responsibilities.

Question 4

Does agentic voice AI deliver a positive ROI?

Accepted Answer

Asked to rate their current ROI from voice AI agents, the vast majority of leaders with active agentic deployments reported positive returns (82%). Leaders point to cost reduction, time savings, and the ability to redirect human staff to more complex work as the main benefits of using agentic voice AI.

Question 5

How much autonomy do voice AI agents have?

Accepted Answer

Of the 191 active users whose operating model was described, 92% say their agents operate with high or partial autonomy: 47% on high autonomy with a human ready to step in, 45% on partial autonomy inside a structured escalation system, and only 8% limited to simple tasks under close supervision. Asked what share of an assigned task their agents handle without human intervention, leaders put the average at 69%.

Question 6

When do voice AI agents hand a call off to a human?

Accepted Answer

Of the 347 leaders whose escalation design was coded, 62% escalate calls to a human on complexity, uncertainty, or explicit prebuilt triggers; 31% escalate early for high-stakes, emotional, or judgment-heavy conversations; and 7% escalate only in limited exceptions.

Question 7

What is the biggest risk of deploying voice AI agents?

Accepted Answer

Of the 350 leaders who named concerns around implementation, 59% point to potential harm to their brand or customers as the primary risk, well ahead of privacy and governance (24%) and accuracy and reliability (17%). A voice agent speaks for the business in the moments customers care about most.

Question 8

Are voice AI agents better than humans for high-stakes customer calls?

Accepted Answer

More than a third of leaders say voice AI agents can sometimes be a better option for high-stakes conversations compared with chat-based AI or humans, challenging the assumption that difficult customer interactions should always default to a person. Leaders describe agents that never rush a call to hit a metric, never match an angry customer's energy, and deliver the right disclosure at the right moment, every time.

Question 9

Are businesses planning to invest in agentic voice AI?

Accepted Answer

We asked non-users whether they had plans to adopt agentic voice AI. A plurality (44%) are actively planning an investment in agents, with another 42% considering adoption without a commitment. Just 14% of non-users say they probably won't adopt agents.

Question 10

How can businesses automate customer support calls with AI without hurting the customer experience?

Accepted Answer

Start where leaders start: high-volume, low-complexity calls with escalation designed in. Of the 350 leaders who named implementation concerns, 59% point to potential brand or customer harm as the primary risk, so successful deployments pair narrow agent scope with human handoff triggers for complex, emotional, or high-stakes conversations.

Question 11

What guardrails should a business put around a voice AI agent?

Accepted Answer

Deployed agents run inside deliberately narrow lanes: tightly scoped tasks, prebuilt escalation triggers, and a human ready to step in. Of the 347 leaders whose escalation design was coded, 62% escalate on complexity or uncertainty and 31% escalate early for high-stakes or emotional calls — autonomy is earned task by task.

Question 12

How are businesses using conversation data to make decisions?

Accepted Answer

The majority (62%) of leaders operationalize conversation data for decisions and process improvement rather than treating it as passive recordkeeping. The three most common workflows: storing transcripts for future use, cross-referencing call outcomes against point-of-sale and CRM records, and building automated escalation rules for routing and performance analysis.

Make Your Category the Next G2 Report.

Why Sellers Still Copy AI Notes Into the CRM

The State of Software Buying in 2026

This is a test report for Version History

Make Your Category the Next G2 Report.

Keep Reading

Why Sellers Still Copy AI Notes Into the CRM

The State of Software Buying in 2026

This is a test report for Version History