CrestaEnterprise
Contact center AI that runs human and AI agents on one platform — autonomous agents, real-time assist, QA, and conversation intelligence.
Customer Support comparison
Cresta vs Decagon
Pricing, pros, cons, and ideal use cases — side by side.
DecagonEnterprise
Enterprise AI support agents across voice, chat, and email, defined in natural-language Agent Operating Procedures rather than flow charts.
At a glance
| Cresta | Decagon | |
|---|---|---|
| Pricing | EnterpriseNot published — enterprise contracts quoted after a demo, typically scoped by agent seats and conversation volume. Ask how autonomous AI Agent conversations are priced relative to human seats, since that ratio decides the economics as deflection rises. | EnterpriseNot published — enterprise contracts negotiated after a demo. Pricing is conventional platform-plus-usage rather than outcome-based; compare directly against Sierra resolution pricing. |
| Category | Customer Support | Customer Support |
| Ideal for | Enterprise contact centers with hundreds of human agentsCX organisations running quality management at scaleTravel, financial services, telecom, and insurance support operationsTeams that want AI deflection and human coaching from one system | Enterprise support organizations with high ticket volumeConsumer fintech, travel, and marketplace businessesSupport ops teams that want to own agent behavior without engineeringCompanies running omnichannel support across voice, chat, and email |
Pros & cons
Cresta
Pros
- One platform for autonomous agents and human agent assist
- Real-time guidance during live calls, not just post-call review
- Automated QA across every conversation instead of a sample
- Strong Fortune 500 reference base
- Handoff between AI and human is designed in, not bolted on
Cons
- No published pricing and a long enterprise sales cycle
- Overbuilt for contact centers below roughly 100 agents
- Real-time assist needs change management or agents ignore it
- Deflection savings and seat costs can work against each other — model the ratio
- Deep integration with your CCaaS platform is a prerequisite, not a detail
Decagon
Pros
- Agent Operating Procedures let ops teams author behavior in plain language
- Omnichannel voice, chat, and email from one platform
- Built-in A/B testing, QA simulations, and continuous quality monitoring
- Strong reference logos in consumer fintech and travel
Cons
- No published pricing
- Vendor-reported deflection numbers are unaudited
- Natural-language procedures still need rigorous testing — plain language hides ambiguity
- Enterprise-scale product; wrong fit for SMB support volumes
Which should you choose?
Cresta is built around enterprise contact centers with hundreds of human agents; Decagon leans more toward enterprise support organizations with high ticket volume. Shortlist the one whose strengths line up with your biggest constraint.
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