When new expense submissions occur in Expensya, send expense descriptions to ChatGPT to auto-categorize spending.
When new expense submissions occur in Expensya, send expense descriptions to ChatGPT to auto-categorize spending.
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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.
Expensya Explore Expensya →
TriggersFires when an employee submits a new expense in Expensya.
Fires when an expense in Expensya is approved.
Fires when an expense in Expensya is rejected.
Fires when a receipt is attached to an expense in Expensya.
Creates a new expense report in Expensya.
Approves a pending expense in Expensya.
Rejects a pending expense in Expensya.
Syncs an approved expense in Expensya to the general ledger.
ChatGPT Explore ChatGPT →
TriggersFires when a new chat or conversation begins in ChatGPT.
Fires when ChatGPT captures a lead during a conversation.
Fires when ChatGPT escalates a conversation to a human.
Sends a message to a user through ChatGPT.
Asks ChatGPT a question against its knowledge base and returns the answer.
Uses ChatGPT to summarize a chat transcript.
Opens a support ticket from an ChatGPT conversation.
Common questions
Can Knit build “When new expense submissions occur in Expensya, send expense descriptions to ChatGPT to auto-categorize spending.” between Expensya and ChatGPT?
Yes — describe it in the box above and Knit's Integrations Agent researches Expensya and ChatGPT'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.