DecagonEnterprise
Enterprise AI support agents across voice, chat, and email, defined in natural-language Agent Operating Procedures rather than flow charts.
Customer Support comparison
Decagon vs Sierra
Pricing, pros, cons, and ideal use cases — side by side.
SierraEnterprise
Enterprise conversational AI agents sold on outcome-based pricing — you pay for resolved issues, not for conversations attempted.
At a glance
| Decagon | Sierra | |
|---|---|---|
| Pricing | EnterpriseNot published — enterprise contracts negotiated after a demo. Pricing is conventional platform-plus-usage rather than outcome-based; compare directly against Sierra resolution pricing. | EnterpriseOutcome-based: you pay per resolved issue rather than per conversation or per seat. Rates are negotiated per contract and not published. |
| Category | Customer Support | Customer Support |
| Ideal for | 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 | Enterprise customer experience organizationsFinancial services and healthcare with regulated support flowsRetail, travel, and telecom with high contact volumeCompanies replacing large outsourced tier-one support |
Pros & cons
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
Sierra
Pros
- Outcome-based pricing aligns vendor incentives with resolution quality
- One agent definition deployed across chat, voice, email, and ChatGPT
- Ghostwriter builds agents from existing SOPs instead of blank-slate flows
- Deep compliance: SOC 2, ISO 27001, ISO 42001, HIPAA, GDPR, FedRAMP
- Serious observability and experimentation tooling
Cons
- Enterprise-only — no self-serve path and no published rates
- Outcome pricing requires agreeing on what counts as a resolution, which is a real negotiation
- Implementation is a program, not a signup
- Overkill below roughly enterprise contact volumes
Which should you choose?
Decagon is built around enterprise support organizations with high ticket volume; Sierra leans more toward enterprise customer experience organizations. Shortlist the one whose strengths line up with your biggest constraint.