Handle up to 80% of Tier-1 support with AI
- 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
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."
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."
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.
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.