Store new chat leads in a backend database

When a prospective customer provides details in AirOps, automatically insert or update a row in Amazon Relational Database Services (RDS) to retain prospect data.

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See all AirOps + Amazon Relational Database Services (RDS) 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.

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.

Amazon Relational Database Services (RDS) Explore Amazon Relational Database Services (RDS) →

Triggers

New row inserted

Fires when a new row is added to a table in Amazon Relational Database Services (RDS).

Row updated

Fires when an existing row changes in Amazon Relational Database Services (RDS).

Query result ready

Fires when a scheduled query in Amazon Relational Database Services (RDS) finishes running.

Actions

Run a query

Runs a SQL query against Amazon Relational Database Services (RDS) and returns the result.

Insert or update a row

Writes a new or updated row to Amazon Relational Database Services (RDS).

Sync a table

Syncs a table in Amazon Relational Database Services (RDS) with data from another source.

Answer chatbot inquiries using database query results When a data query result becomes ready in Amazon Relational Database Services (RDS), automatically send a generated message in AirOps back to the active user. See details

Archive chat summaries upon human agent handoff Whenever a conversation is handed off in AirOps, automatically write a summary directly into Amazon Relational Database Services (RDS) for central analytics. See details

See all AirOps + Amazon Relational Database Services (RDS) 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 AirOps and Amazon Relational Database Services (RDS)?

Yes — describe it in the box above and Knit's Integrations Agent researches AirOps and Amazon Relational Database Services (RDS)'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 Amazon Relational Database Services (RDS)?

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 Amazon Relational Database Services (RDS) prompt messages in AirOps?

Yes, when a row is updated or inserted in Amazon Relational Database Services (RDS), you can instruct AirOps to send an automated message or follow-up response to the user.