Handle up to 80% of Tier-1 support with AI
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- Waits too long for answers
- Bad reviews due to slow support
- Inconsistent, confusing answers
- Agents tired from repetitive, routine answers
- Quick responses (no wait time)
- Happy customers = good reviews
- Reliable, steady answers every time
- Reduced burnout risk, less time on repetitive answers
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Quidget uses your website and knowledge base data to train your AI customer service agent. It takes mere minutes and your agent is ready to start answering customers’ questions."
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Make your AI agent fit right in on your website with custom colors and logos, and make it match your brand's personality with custom instructions."
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Now Quidget’s AI agent will handle 80% of your tier 1 support questions. It gives your team more time for personalized care and proactive support.
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I hate repetitive support tasks — answering the same questions and handling routine issues is so tedious. But here is the problem: I have a lot of customer inquiries through emails, chats, and tickets.
This could be easily handled by an AI agent, but building one from scratch is time-consuming. That’s why we built Quidget.
With Quidget, I can automate 80% of Tier-1 support without spending every minute on routine tasks. And the best part? Quidget’s responses don’t sound like a robot. They feel human.
Existing data + smart AI + seamless integration = efficient support in minutes.
I can’t imagine going back to manual responses, and I think you will feel the same.
Quidget is your 24/7 AI assistant, quickly searching your help content to answer questions. If more help is needed, Quidget collects the customer’s email and escalates the issue to a human.
Quidget is designed for small and medium-sized businesses that want to automate customer service with AI to save time, money and human resources.
After a quick onboarding, you will get a short code, which you can integrate into your website as a chat widget.
AI agents can greet customers with information and answer simple, common questions.
Quidget is so effective that it can save a support agent up to 3 hours per day, which amounts to the hours of a full-time worker each month.
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