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How does Ada conversational bot handoff handle complex routing to tier two human agents without losing conversation history in the transcript?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How does Ada conversational bot handoff handle complex routing to tier two human agents without losing conversation history in the transcript?
1 real search · 1 real-search pass
Ada conversational AI handoff complex routing tier 2 human agents conversation history transcript escalation routing documentationGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Ada conversational AI handoff complex routing tier 2 human agents conversation history transcript escalation routing documentation Google ↗
  1. Handoff management · docs.ada.cx
  2. Key concepts · docs.ada.cx
  3. Configure · docs.ada.cx
  4. Conversation experience · docs.ada.cx
  5. Update the handoff queue · docs.ada.cx
  6. Handoff reasons · docs.ada.cx
  7. Response training · docs.ada.cx

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Ada conversational AI handoff complex routing tier 2 human agents conversation history transcript escalation routing documentation
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1