HairMax saves 7,800 support hours annually with Tidio's Lyro AI
HairMax's small, globally distributed support team was overwhelmed by the volume of specialized inquiries about its laser hair growth devices, needing to cover time zones around the clock without enough staff to keep up.
HairMax tried other AI platforms before Lyro, but they got confused by the technical terminology of its specialized products and gave generic, unhelpful answers.
Lyro now autonomously resolves 73% of inquiries, up from 60% before implementation, saving 7,800 support hours annually while handling tens of thousands of monthly interactions; wait times have virtually disappeared and the human team now focuses on complex cases.
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Frequently asked questions
What did this team achieve with this AI workflow?
Lyro now autonomously resolves 73% of inquiries, up from 60% before implementation, saving 7,800 support hours annually while handling tens of thousands of monthly interactions; wait times have virtually disappeared a…
What tools did this team use?
Lyro AI, AI Agent.
What results were reported?
Support hours saved annually: 7,800; Resolution rate increase: 22%; Conversations automated: 20K+; First-contact resolution rate: 73%, up from 60% (source-reported, not independently verified).
What failed first in this deployment?
HairMax tried other AI platforms before Lyro, but they got confused by the technical terminology of its specialized products and gave generic, unhelpful answers.
How is this customer support AI workflow structured?
High-volume inquiry intake → Lyro parses nuanced product questions → Escalation vs. autonomous resolution routing → Autonomous inquiry resolution → Knowledge base virtuous cycle.