Lyro is Tidio’s AI customer-service agent. It is designed to answer suitable customer questions using approved business knowledge and can support a team by handling repetitive enquiries.
Quick answerLyro is Tidio’s AI customer-service agent. It is designed to answer suitable customer questions using approved business knowledge and can support a team by handling repetitive enquiries.
What does Lyro do?
Lyro is Tidio’s AI customer-service agent. It is designed to answer suitable customer questions using approved business knowledge and can support a team by handling repetitive enquiries.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
How does Lyro answer questions?
A business supplies or connects relevant knowledge, such as common answers and policy information. Lyro uses that material to respond conversationally. The quality of the knowledge is essential to the quality of its answers.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
Common Lyro use cases
Potential uses include opening hours, routine product questions, delivery policies and repeatable pre-sale enquiries. Supported ecommerce configurations may offer product recommendations; test the exact features available in your account.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
When should a human take over?
Complaints, unusual refunds, sensitive account matters and requests outside the AI’s knowledge should have a clear escalation path. Never assume that a conversational answer means a backend action has been completed.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
How to launch Lyro
Start with a small set of accurate questions and answers. Test normal, ambiguous and difficult customer phrasing. Review failures, update the source material and expand coverage only after the pilot meets your quality standard.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
Lyro limitations and cost
Lyro cannot reliably answer questions for which it lacks trustworthy information. AI usage may have a separate allowance from human chat and Flows, so check current terms before budgeting.
Before relying on this capability, test it with your own customer questions and verify the current feature and usage terms. The practical value depends on your website traffic, staffing model and the quality of the customer experience.
Practical Implementation Checklist
Identify one clear business objective, collect representative customer enquiries, configure the relevant feature and test on desktop and mobile. Measure customer outcomes and employee time rather than counting automated messages alone. Review your settings and support content regularly.
Frequently Asked Questions
Is this suitable for small businesses?
It can be, depending on conversation volume, team capacity and the specific workflow you want to improve.
Can I start without committing to a paid plan?
Check the current free entry option or trial and its exact feature and usage restrictions.
What should I verify before paying?
Confirm current allowances, billing cycle, supported channels, limits and the availability of any essential feature.
Can this replace human support?
Automation and mobile tools can help, but unusual or sensitive customer issues still require an appropriate human process.
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