Cost Per Call
The cost math is hard to argue with. Human agents cost $5.70–$7.68 per inbound call; voice AI costs $0.30–$0.50. At a 500K-call-per-month contact center deflecting 60% of volume, that's $1.7M in monthly savings. Gartner puts the industry-wide labor cost reduction from conversational AI at $80B by 2026.
Human Agent vs. Voice AI
This is the foundational metric in every voice AI business case, and the gap is striking.
93–95%
cost reduction on calls resolved by voice AI
| Model | Cost Per Call (Inbound) | Cost Per Call (Outbound) | Source |
|---|---|---|---|
| Human agent (fully loaded) | $5.70–$7.68 | $2.00–$8.00 | [44, 42] |
| Voice AI agent | $0.30–$0.50 | $0.15–$0.40 | [44, 42] |
| Hybrid model (AI + 20% human) | ~$2.24 | Varies | [42] |
| Per-minute AI pricing (platform) | $0.07–$0.16/min | $0.07–$0.16/min | [45, 46] |
The implied savings are significant: pure deflection to voice AI can represent a 93–95% cost reduction on the calls it handles. [44] A hybrid model — where AI handles the majority of calls and escalates a portion — typically delivers a 60% net reduction in cost-per-call across the total contact volume. [42]
At enterprise call volumes, the arithmetic is material. A contact center handling 500,000 calls per month at $6 per call carries a $3 million monthly call cost. Deflecting 60% to voice AI at $0.40 per call reduces that line by roughly $1.7 million per month — a straightforward ROI calculation that has driven most of the first-wave budget approvals.
Gartner's projection: Conversational AI will reduce agent labor costs by $80 billion by 2026. [8, 47]
Gartner projects conversational AI will reduce agent labor costs by $80 billion by 2026. At enterprise volumes, a contact center handling 500K calls/month at $6/call saves roughly $1.7M/month by deflecting 60% to voice AI at $0.40/call.
A note on variability: ROI figures for voice AI vary significantly based on deployment quality, use case selection, integration depth, and organizational readiness. The ranges above represent well-documented benchmarks; actual results will depend heavily on implementation specifics.