Intake to records
Turn inbound requests into clean Airtable records, matched to the right table and staged for review before they land.
Pack Foundry + Airtable
Pack Foundry runs AI workflows against your Airtable bases, with a person approving each record change before it writes. Pack Foundry connects to Airtable through a one-click connection under its OAuth-partner model. Inside a workflow pack, AI reads your bases, drafts the new record or the update, and stages it for review. Nothing changes a base until a person approves it. Intake that creates clean records, reporting into a base your team reads, and ops updates run with a dry-run in front of every write and an audit log behind it.
Turn inbound requests into clean Airtable records, matched to the right table and staged for review before they land.
Pull the numbers and the summary into the Airtable base your team already reads, on the schedule you set.
Draft the record update or status change and stage it, so a person approves before the base changes.
Every workflow runs in dry-run and shows the proposed action before it touches Airtable. Sensitive steps queue for human approval, and every decision lands in an audit log. Airtable connects with one click under Pack Foundry's OAuth-partner model. Built and maintained by MVP.dev.
No. Changes run in dry-run and stage the proposed record or update for review. A person approves before anything writes to a base, and every decision lands in the audit log.
Turn inbound intake into clean records, report into a base, and draft ops updates, all with a human approving each change.
No. Airtable connects with one click under Pack Foundry's OAuth-partner model. You do not bring your own client IDs or build the integration yourself.