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Omnichannel AI customer service that resolves inquiries at scale.
Pros
- Mature, enterprise-grade omnichannel automation
- Flexible resolution- vs conversation-based pricing models
- Strong no-code tooling for non-technical teams
Cons
- No transparent public pricing; requires sales
- Implementation, integration, and overage fees add up
- Resolution definition heavily affects total cost
✓ Where it shines / best for
- Mid-market and enterprise CX teams automating high inquiry volumes
- Companies wanting an autonomous AI agent across channels
- Brands needing multilingual, knowledge-grounded support automation
✕ Not the best fit for
- Small businesses under ~300k annual conversations
- Teams wanting transparent flat self-serve pricing
- Simple FAQ-only needs without integrations
Features
- ✓ AI Agent that autonomously resolves customer service inquiries
- ✓ Reasoning engine grounded in knowledge bases and policies
- ✓ Omnichannel: chat, email, voice, social messaging
- ✓ Measured Automated Resolution Rate (AR) reporting
- ✓ No-code agent building and workflow tooling
- ✓ 50+ language multilingual support
- ✓ Integrations with CRM, ticketing, and backend systems via APIs/actions
- ✓ Analytics, coaching, and AI-agent performance measurement
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Custom / Enterprise | Custom | quote | No public self-serve pricing; quote-based. Targets companies with 300k+ annual conversations. Reported models: ~$1-$3.50 per AI resolution; AppExchange listing from ~$30k/yr; typical enterprise contracts ~$100k-$300k+/yr. Contact sales |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
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