Store new chat leads in a backend database

When a prospective customer provides details in AI Number, automatically insert or update a row in AITable.ai to retain prospect data.

Try:

See all AITable.ai + AI Number integrations or talk to a human

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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.

AITable.ai Explore AITable.ai →

Triggers

New row inserted

Fires when a new row is added to a table in AITable.ai.

Row updated

Fires when an existing row changes in AITable.ai.

Query result ready

Fires when a scheduled query in AITable.ai finishes running.

Actions

Run a query

Runs a SQL query against AITable.ai and returns the result.

Insert or update a row

Writes a new or updated row to AITable.ai.

Sync a table

Syncs a table in AITable.ai with data from another source.

AI Number Explore AI Number →

Triggers

New conversation started

Fires when a new chat or conversation begins in AI Number.

Lead captured in chat

Fires when AI Number captures a lead during a conversation.

Conversation handed off

Fires when AI Number escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through AI Number.

Generate an answer

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

Summarize a conversation

Uses AI Number to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an AI Number conversation.

Answer chatbot inquiries using database query results When a data query result becomes ready in AITable.ai, automatically send a generated message in AI Number back to the active user. See details

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

See all AITable.ai + AI Number integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Store new chat leads in a backend database” between AITable.ai and AI Number?

Yes — describe it in the box above and Knit's Integrations Agent researches AITable.ai and AI Number'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 AI Number with AITable.ai?

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 AITable.ai prompt messages in AI Number?

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