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 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
| Cresta | Sierra | |
|---|---|---|
| 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. | 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 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 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
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
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?
Cresta is built around enterprise contact centers with hundreds of human agents; Sierra leans more toward enterprise customer experience organizations. Shortlist the one whose strengths line up with your biggest constraint.
Still deciding between Cresta and Sierra?
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