Answer chatbot inquiries using database query results

When a data query result becomes ready in Autom, automatically send a generated message in AirOps back to the active user.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

AirOps Explore AirOps →

Triggers

New conversation started

Fires when a new chat or conversation begins in AirOps.

Lead captured in chat

Fires when AirOps captures a lead during a conversation.

Conversation handed off

Fires when AirOps escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through AirOps.

Generate an answer

Asks AirOps a question against its knowledge base and returns the answer.

Summarize a conversation

Uses AirOps to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an AirOps conversation.

Autom Explore Autom →

Triggers

New row inserted

Fires when a new row is added to a table in Autom.

Row updated

Fires when an existing row changes in Autom.

Query result ready

Fires when a scheduled query in Autom finishes running.

Actions

Run a query

Runs a SQL query against Autom and returns the result.

Insert or update a row

Writes a new or updated row to Autom.

Sync a table

Syncs a table in Autom with data from another source.

Store new chat leads in a backend database When a prospective customer provides details in AirOps, automatically insert or update a row in Autom to retain prospect data. See details

Archive chat summaries upon human agent handoff Whenever a conversation is handed off in AirOps, automatically write a summary directly into Autom for central analytics. See details

See all AirOps + Autom integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Answer chatbot inquiries using database query results” between AirOps and Autom?

Yes — describe it in the box above and Knit's Integrations Agent researches AirOps and Autom's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What is the main benefit of pairing AirOps with Autom?

It bridges public customer chats with backend data stores, ensuring lead details are stored safely and allowing assistants to retrieve live record updates instantly.

Can updates in Autom prompt messages in AirOps?

Yes, when a row is updated or inserted in Autom, you can instruct AirOps to send an automated message or follow-up response to the user.