Customer Service & Retention AI
Tidio (Lyro AI)
Tidio combines a shared help desk and live chat with Lyro, an AI agent that answers repeat questions, recommends products, checks order information through connected systems, and hands conversations to staff. It gives smaller ecommerce teams a relatively quick route to web and social support automation, but its human conversations, Lyro conversations, and proactive Flows use separate quotas.
Official videoMeet Lyro AI AgentClick to play · Tidio
Before you start
- Choose one bounded, reversible customer-service or retention workflow to test.
- Prepare current policies, representative conversations, order context, and escalation rules, removing sensitive fields the trial does not need.
- Record the current resolution quality, reopen rate, response time, and customer satisfaction, then name the approver and stop conditions.
Operator-ready setup plan
Start with one real task
Do not begin with a store-wide rollout. Pick one reversible task where Tidio (Lyro AI) can help you handle customer questions, retention signals, and follow-up work.
Checkpoint: The input boundary, owner, and one primary measure from resolution quality, reopen rate, response time, and customer satisfaction are written down.
Prepare the input and guardrails
Collect only the current policies, representative conversations, order context, and escalation rules needed for this test. Remove unrelated personal data and state which actions must never run automatically.
Checkpoint: Every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Configure a contained trial
Follow the official setup path, connect the fewest accounts possible, and grant only the permissions this test needs. Let Tidio (Lyro AI) recommend before it acts.
Checkpoint: You have a customer-service or retention workflow that a responsible operator can inspect, and it stayed inside the approved boundary.
Review it against a baseline
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.
Checkpoint: resolution quality, reopen rate, response time, and customer satisfaction has a pre-test baseline, and errors and exceptions are logged separately.
Expand in small batches with a stop rule
Increase one batch at a time and decide in advance what will stop the rollout. Add it to the regular SOP only after it repeatedly clears the quality bar.
Checkpoint: Wider use does not push error, complaint, or rework costs above the previous baseline.
How to test it
- Test one normal case, one edge case, and one case with a deliberately missing critical field.
- Compare the result with the pre-test baseline for resolution quality, reopen rate, response time, and customer satisfaction; do not record time saved alone.
- Review errors, human edits, permissions used, and unresolved exceptions before expanding scope.
Limits to account for
- The catalog record was checked on 2026-07-10, but this page has no completed external-source review. Confirm the official page, creator identity, and current documentation before purchase, installation, or store connection.
- A plausible answer can still conflict with store policy or expose customer data.
- This page reflects the review completed on 2026-07-10, not a permanent guarantee. Recheck the current documentation, pricing, and contract terms before production use.
Frequently asked questions
How do I add Tidio (Lyro AI) to the current SOP?
Map the input source, owner, approval point, and exception path, then replace one existing step. Do not rewrite the whole operation just to accommodate a new tool.
Which metrics show whether it is worth keeping?
Track resolution quality, reopen rate, response time, and customer satisfaction. Pair quality and efficiency measures so output volume is not mistaken for a business result.
When is it not worth using?
It is usually a weak fit when volume is low, inputs stay incomplete, most cases need senior judgment, or review costs approach the cost of the old process.
Key features
Tidio combines live chat with Lyro, an AI agent that resolves common customer questions autonomously. Its free plan is genuinely usable for small stores, reducing human support tickets by up to 42%.
- Lyro AI agent for autonomous answers
- Live chat with AI assistance
- Multi-language support (40+ languages)
- Product recommendations in chat
- Abandoned cart recovery messages
Best for
You are handling recurring pre-sale or post-sale questions. The first decision to test is whether Lyro AI agent for autonomous answers and Live chat with AI assistance hold up together before reserving team time for judgment-heavy orders, relationships, and exceptions. Consider it when these outcomes matter: Lyro AI agent for autonomous answers, helping you reduce manual routing and repeated replies; Put Live chat with AI assistance into the current flow to keep useful order or customer context available during handling; Use Multi-language support (40+ languages) in this step to start by validating a high-frequency, well-bounded intent. Confirm before rollout: Limited AI customization at lower tiers.
Pricing analysis
Current published or described options are Free: Free (50 conversations/month); Starter: $29/month (100 conversations); Growth: $59/month (500 conversations). Free has the lowest acquisition cost for validating the workflow, while Starter is the first useful cost baseline for steady use. A higher tier earns its premium through measurable labor savings, revenue lift, or lower unit cost—not through a longer feature list alone. Complete cost also includes agent seats, billable conversations or resolutions, channel add-ons, seasonal overages, onboarding, and quality-review time; model both normal and peak periods. A custom quote should state the billing unit, minimum commitment, overages, add-ons, implementation scope, renewal terms, and data-export path.
Pros
- Best free tier in the category
- Quick setup — under 30 minutes
- Multi-language support out of the box
- Good value for small stores
Limitations
- Limited AI customization at lower tiers
- Less sophisticated than Gorgias/Zendesk for complex queries
- Fewer integrations than enterprise alternatives
Selection guidance
Document the current manual process, data sources, owner, and recovery path, then run one channel and two high-volume, low-risk intents with real business data. Cover permission boundaries, null and exception data, duplicate execution, human override, third-party sync delays, export, and rollback. Also run these product checks: Test one normal case, one edge case, and one case with a deliberately missing critical field.; Compare the result with the pre-test baseline for resolution quality, reopen rate, response time, and customer satisfaction; do not record time saved alone.. Keep the pilot live for a complete business cycle and compare correct-resolution rate, handoff accuracy, reopen rate, CSAT, and total cost per resolved conversation with the pre-pilot baseline. Contract only if quality, controllable risk, and total cost all pass, and explicitly test these known constraints: Limited AI customization at lower tiers; Less sophisticated than Gorgias/Zendesk for complex queries.
Published pricing
- Free
- Free (50 conversations/month)
- Starter
- $29/month (100 conversations)
- Growth
- $59/month (500 conversations)
Alternatives
Content checked: