Give customers an answer before they need to open a ticket.
A customer service chatbot uses your help content and connected systems to answer routine questions, track orders, handle simple requests, and send the hard cases to the right person.
Support chatbot
See the workflow in action
For support teams dealing with repeat questions, long first-response times, or a growing queue that keeps pulling experienced staff away from complex cases.
Follow one request through the system.
Pick a step to see what happens and where your team stays in control.
A customer asks
The conversation begins on your site, app, or support channel.
The work your team should not have to repeat.
It needs to work with the tools your team already opens every day.
Intercom
Zendesk
Shopify
HubSpot
Slack
Start with a business problem, not a feature list.
Choose the first questions to solve
We begin with a contained set of high-volume requests instead of asking a chatbot to know everything on day one.
Prepare the source of truth
Your approved content, policies, and system data determine what the assistant can confidently answer.
Measure before expanding
Resolution rate, escalations, and customer feedback show where the system is useful and where it needs work.
Estimate the time in your support queue
Answer three quick questions. You can tune every assumption after you see the first estimate.
McKinsey estimates 30–45% productivity value in customer care. The default below uses 30%, not a guaranteed result.
Read the McKinsey customer-care benchmark source ↗FAQ
It should be built to use approved sources, state uncertainty, and hand off when it cannot find a reliable answer.
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