SeaTable vs. Airtable

Agents are only as good as the business context they can reach. Most systems hand them data, but not a live model of how your business actually runs. So agents guess, and the output comes back generic or wrong.

In Airtable, your team builds that model together with agents and runs the actual work on top of it. Every edit, human or agent, keeps the data current. Everyone acts on the real state of the business.

What you get

• Data: Flexible relational schemas that agents help you build. Synced with your data warehouse, CRM and ERP.
• Workflows: Automations and field agents do the heavy lifting. Your team directs, reviews and approves. The work sticks around after the chat tab closes.
• Surfaces: Interfaces, Canvas, Omni in Slack and Teams, or MCP straight from Claude, ChatGPT or Codex. Everyone works on the same data.
• Governance: One permission model, one audit log and clear approvals for people and agents. Agents stay inside your rules.

Built for the people closest to the work Product Ops, Marketing Ops, GTM and Legal Ops build their own workflows and agents. Describe the task, the agent builds it. No ticket, no waiting on the IT queue.

More than project management Task and document tools run out of road with complex, connected data. Airtable is a relational foundation that teams and agents work on together. Model-agnostic, no lock-in.

Enterprise-ready SSO, SCIM, SOC 2, HIPAA and EU data residency. Every human and agent action lands in the audit log, even when the work happens in Claude or ChatGPT.

From Schaeffler and Cisco to OpenAI and Anthropic, AI-forward enterprises and AI-native teams run on Airtable.