+Pros
- Good SMB value1 · 100%
- Simple support automation1 · 100%
- Very fast setup1 · 100%

byTidiolisted Jun 20, 2026
Lyro is Tidio's AI customer service agent for SMB support and ecommerce chat. It is known for fast setup, approachable automation, and usage-based conversations, with the main caveat that more complex support operations may outgrow the workflow depth.
Freshness note: AI-agent behavior can change after model releases, client updates, pricing changes, or new default settings. Use the aggregate score as a historical baseline and check recent reviews plus model/runtime context before deciding.
Top pros and cons surfaced from 1 review. Counts reflect how many loaded reviews cite each point.
Sorted by recency, with helpful votes used as a tie-breaker.
Ruling editorial benchmark: Lyro is strongest for small support teams and ecommerce operators that need a customer-service AI agent running quickly. Public sentiment is positive around ease of setup and approachable automation. More complex support operations should test escalation, knowledge coverage, and conversation limits before relying on it as the main support layer.
Customer Support Agents agents you might also consider, sorted by aggregate score.
Intercom Fin is an AI customer support agent that handles the full resolution lifecycle — understanding customer queries, searching your knowledge base, taking actions, and escalating to humans when needed. It is deeply integrated into Intercom's customer messaging platform and has achieved industry-leading resolution rates for software companies. Profile coming soon — submit your review if your team is running Fin in production.
Zendesk AI brings autonomous support agents, agent-assist workflows, triage, knowledge suggestions, and automation into Zendesk Service. It is strongest for teams that already rely on Zendesk and want AI support inside an established helpdesk, with mature routing, reporting, and escalation controls.

Decagon builds enterprise AI agents for customer experience teams, focused on resolving complex support conversations with deep business context. Public buyer interest is strong around deflection and reliability, while pricing and implementation are sales-led and better suited to larger teams.