Built for the interactions your agents handle on repeat.
Account lookups, billing questions, scheduling, resets—bots that close the interaction, not just deflect it. No transfers on questions the system already knows how to answer.
Two channels. One resolution standard.
Chatbot: text-channel resolution
Covers account status, billing inquiries, password resets, and appointment scheduling across web chat and SMS. The bot closes the ticket—it does not hand it off unless the interaction falls outside its trained scope.
Resolution rate is tracked per interaction type, not per session. Operators see exactly which question categories are closing and which are escalating—no aggregate theater.
Voicebot: inbound call handling
Handles inbound voice volume for routine call types—balance inquiries, order status, appointment confirmation—without putting callers in queue. Transfers only when the caller's need requires judgment.
Trained on real contact center call transcripts. The bot routes on intent, not on keyword matching—so edge-case phrasing still reaches the right destination.
Connects to your existing stack on day one.
Pre-built connectors for major CCaaS platforms and CRMs. Your team configures the interaction types; we handle the connection layer. No custom middleware required on your side.
CCaaS platforms
CRM & ticketing
Deployment model
Genesys Cloud, Amazon Connect, Avaya, NICE CXone, Five9. Pre-built voice and chat channel connectors—no proprietary gateway needed.
Salesforce Service Cloud, Zendesk, ServiceNow, Microsoft Dynamics. Bot reads and writes records directly—no data sync layer to maintain.
Cloud-hosted with tenant isolation. Typical time-to-live is four to six weeks from signed agreement to first production interactions.
See how it fits your environment.
Bring us your interaction volume and your current stack. We scope the fit before you commit to anything.