A customer service chatbot for business that knows when to involve your team.
This AI customer service chatbot uses your help content and connected systems to answer routine questions, check orders, handle simple requests, and move difficult cases to the right person.
See it in action
You will recognise this.
A simple first answer for support teams with too many repeat questions and not enough time for the hard ones.
01
Customers ask the same questions every day
02
Your queue grows outside business hours
03
Experienced agents spend time finding basic answers
See what happens next.
Each step has its own visual. The flow moves on its own every few seconds, or you can choose a step yourself.

Step 01 · Web / app
A customer asks
The conversation begins on your site, app, or support channel.
The repeat work, done simply.
Fits into how your team already works.







Fits the systems you rely on.
We connect the tools that already hold your work, then make sure the right person remains in charge when it matters.
Intercom
Zendesk
Shopify
HubSpot
Slack
SalesforceAnd if a tool is not shown here, we can usually connect it through its API, webhooks, or an approved automation platform.
What changes in practice.
Make the numbers fit your business.
Change the inputs and see a planning estimate immediately. The logic is clear, the assumption is adjustable, and the source is linked below.
Your current workload
Use a typical month. The calculator updates as you type or move a slider.
Your estimate
42
estimated support hours freed each month
Monthly value
$1,176
Annual value
$14,112
Formula
140 monthly hours × 30% automation assumption = 42 recovered hours. Recovered hours × your hourly cost = estimated value.
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 ↗Download a branded, two-page summary with your estimate, calculation source, and a quick introduction to The Squirrel's AI and product services.
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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