01
Lyro AI Agent Answer Grounding
Whether the AI agent answers from the business's own verified data sources, stays in the brand's voice, and declines or escalates rather than inventing an answer when coverage is missing.
“Train Lyro AI Agent on verified data sources to make sure all his responses are reliable and helpful.” www.tidio.com
Mapped capabilities
4 capabilities
Answering from verified sources
Responses trace to the connected business data rather than general world knowledge.
Refusal and escalation on gaps
Out-of-coverage questions produce an honest non-answer plus a handoff path, not a plausible guess.
Brand voice consistency
Tone and phrasing hold across question types without drifting into generic assistant register.
Multi-turn context retention
Follow-up questions resolve against earlier turns in the same conversation.
Illustrative example
- Input
- Customer asks the AI agent: "What's your return window for sale items bought during a promotion?" No promotional return policy exists in the connected knowledge sources.
- Expected behavior
- The agent states it cannot confirm the promotional return window from available information and offers to connect the customer to a human agent. It does not state a specific number of days or improvise conditions.