Customer Experience agents, by category.
Email, voice, omnichannel, FAQ, ticket resolution and AI SDR agents. Select the role you want to automate inside each category.
Support & Operations
4 agentsCustomer Engagement
2 agentsSales
1 agentAlso on Microsoft Marketplace
You can also find us on Microsoft Marketplace. Open a listing to see its details and plans.
Custom Agentic AI Chatbot
An omnichannel, multilingual, voice-enabled chatbot, powered by IBM Watson.
AI Omnichannel Support Agent
Automates support across web, mobile, WhatsApp, email and voice, with ticket routing and handover to your team.
AI Voice Support Agent
Answers customer calls, routes them and hands complex cases to your team.
About Customer Experience AI agents
Customer experience agents work in any industry. They answer emails, calls and chats, resolve tickets inside your help desk, keep FAQ answers current, guide customers from first question to purchase, and reply to inbound leads, qualify them and book meetings for your sales team.
You control how much they do on their own. Email replies can start in draft-only mode with a person approving each one; ticket categories can be set to resolve, draft only, or always go to a person; and every action is logged on the ticket. The email support and ticket resolution agents are offline-ready.
Questions about Customer Experience AI agents
Do we need to replace our help desk or CRM?
No. The agents connect to your existing help desk, CRM, phone platform and messaging accounts, and work inside your current queues.
How does a customer reach a person?
By asking, or automatically when the agent is not confident or the conversation turns negative. Your team receives the conversation and a summary, so the customer does not repeat themselves. See omnichannel.
Can we approve replies before they go out?
Yes. Start in draft-only mode and switch topics to automatic once you trust the answers.
How do we start with a customer experience AI agent?
Pick the agent closest to what you need and book a call. We check the fit with your systems, run a pilot on one workflow with your own data, and test the agent against real requests before it goes live. If no agent fits, we build one: see AI agents.