Enterprise AI Agents for Customer Service (2026)
PolyAI, Parloa, Sierra, Decagon and Cognigy compared on how they bill and what they're built for.
| Tool | Billing | Best for |
|---|---|---|
| Per minute (quote only) | Enterprises automating high-volume customer service phone lines | |
| Consumption-based (quote only) | Enterprise customer service teams running AI agents across many use cases | |
| Outcome-based (quote only); blended/consumption available for some use cases | Large brands wanting CX agents across chat, voice and messaging with outcome-based pricing | |
| Per-conversation or per-resolution (enterprise quote) | Enterprise CX teams that want to own and iterate AI support agents across chat, voice and email | |
| Enterprise license; billed by conversations (and Voice Gateway concurrent lines) | Enterprise contact centers deploying voice and chat AI agents (NiCE Cognigy) |
Vapi vs Retell AI →Vapi vs Bland AI →Retell AI vs Bland AI →Synthflow vs Vapi →Smith.ai vs Dialzara →Goodcall vs Rosie →ElevenLabs Agents vs Vapi →Deepgram vs AssemblyAI →Dialzara vs Rosie →OpenAI Realtime API vs Gemini Live API →Sierra vs Decagon →PolyAI vs Parloa →
Prices from vendors' official pricing pages, checked October 14, 2026. Not sponsored; order isn't a ranking.