The use case: how OpenAI deploys Airtable
OpenAI's product operations team tracks every significant initiative in Airtable, with a project per feature, milestones, and weekly updates from project leads. AI fields summarize the updates, flag projects that appear stuck, and catch mismatches between updates and logged milestones, while OpenAI models also turn Slack threads and quarterly planning docs into ranked priorities and briefings.
More reported results
Figures published in Airtable’s case study. They are not independently measured by usedby.
The result is a rolling eight-week view across 50 or 60 simultaneous projects, with a tighter two-week lens for what's about to ship.
In the customer’s words
So many more people in the organization just have some idea of what's happening, and they can dig in when they need it.Other AI tools used by OpenAI
Other public relationships recorded on usedby.
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Based on Airtable’s published case study. We check the public evidence; the results are reported by the vendor.
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Once those updates started flowing in every week, Airtable's AI fields started working on them automatically—condensing long updates into short summaries, cross-referencing what people wrote against the milestones they'd logged, flagging mismatches.