75%
Fewer chat tickets at Monos after deploying Zowie's AI agent
Measured against pre-deployment ticket volume on Monos's chat surfaces.
Chat
Chat that ends in chat
Most AI chat tools send a response and close the conversation. Zowie's AI agent holds a real conversation, takes action in your systems, and resolves end to end.
When chat resolves end to end, the numbers move
Monos replaced ticket-handoff chat with chat that resolves in chat. Their support ticket volume collapsed on the surfaces the agent runs on.
The example
A refund. Processed in one conversation.
Zowie’s agent runs the process inline. Eligibility check, refund execution, confirmation. The customer never leaves the chat.
1Conversation — resolved end to end, no follow-up needed
4Messages to complete the return
0Minutes of human agent time on the ticket
web chat · ticket #71208
resolved
Hey — I need to return the runners I bought. They came in too small.
Hi Luke. I can take care of that for you. Could you share the order number? It's on the confirmation email, starts with a #.
#71208
Thanks. Order #71208 was placed 11 days ago and is within the 30-day return window. I've processed a full refund of $128.00 to your original card — you'll see it in 3–5 business days. A prepaid return label is on its way to your inbox now.
Actions executed4 calls · 0 handoffs
order_lookup#71208
eligibility_checkedwithin 30d window
refund_processed$128.00
label_dispatchedemail + SMS
How it gets things done
How chat went from answering to resolving
Three things happen on every conversation the agent resolves. Each one is wired to a building block your team configures and audits.
1
It looks up what you defined
Knowledge holds your policies, product information, and approved answers. The agent retrieves the right one, sourced from your content, for the question that arrived.
See Knowledge2
It runs the process you designed
Eligibility logic, refund rules, return windows, account changes. Decision Engine executes the business logic deterministically, so the same input produces the same outcome every time.
See Flows3
It takes action in connected systems
OMS, CRM, payment systems, returns systems, custom APIs. Refunds processed, accounts updated, deliveries scheduled, all from inside the conversation. No human handoff.
Where it runs
Fits the chat surface you already run
The agent runs on the surfaces your customers already use. No migration off the platforms you've built on.
Web SDK
Modern web widget, embedded with a JavaScript snippet or via Google Tag Manager. Includes Hello voice mode, so customers can move from chat to voice without switching tools.
- JavaScript snippet or Google Tag Manager
- Hello voice mode in the same widget
- 70% faster load than the previous SDK
- ADA-compliant out of the box
Mobile SDK
Drop the agent into your customer's app — native or cross-platform. Same agent, same capabilities, every runtime your team ships in.
- iOS native
- Android native
- Flutter
- React Native
Social messaging
The same agent, on the surfaces your customers message you on. One configuration, every inbox.
- Messenger
- Instagram DMs
- WhatsApp Business
Trust and handoff
Visible to your team, recoverable by your team
Every conversation is observable in Supervisor and recoverable in Inbox. Nothing happens that your team can't see, audit, or take over.
Observability
Every chat conversation lands in Supervisor. Reasoning, retrieved policy, action taken, customer message — recorded on every session.
Human handoff
A human can take over any live chat at any point. Every message, action, and AI decision travels with the handoff — no context lost mid-conversation.
Integrations
Hands off into the helpdesk you already run
When the agent can’t resolve, it hands off to your existing helpdesk. The full conversation, every action the agent took, and the recap travel with the handoff. Your team picks up where the agent left off.
Send us a chat scenario. We'll show you what happens next.
Bring a real conversation your team is running today. We'll set up the agent on it, run it end to end, and show you what the agent did, where, and why.