The Platform for Human-Agent Collaboration

The organizations moving on agents now will define the next era

The gap between teams who've figured out agent deployment and everyone else is already enormous—and it's compounding. Airtable is the platform where humans and agents work side by side, giving you the system to harness AI responsibly and move before the window closes.

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These organizations are already pulling ahead

The intelligence is here. The question is whether you can harness it.

AI crossed a threshold—from turn-by-turn assistance to autonomous agents that execute for hours without intervention. Two-week sprints are compressing into hours. Every domain of knowledge work is next. Organizations that move now will build advantages that latecomers can't close by waiting.

Agent-first system of record

Soon there will be far more agents than humans in your workflows. Most systems weren't built for this. Airtable is. Agents reason across structured operational context—the actual state of your business—not just documents and chat history.

Built for the people who know the work

You don't have time to wait in developer queues. Any domain expert can deploy and manage agents by simply describing a task. AI handles the translation to production workflows. No IT tickets. No consultants. No six-month implementation timelines.

Observability and control

Your board needs to trust that agents are governed. When teams structure operations in Airtable, the workflow itself becomes the governance layer. See what agents are doing, inspect their reasoning, intervene before results become final. Trust agents in production, not just in demos.

The companies pulling ahead have figured this out

They've given agents a real operational surface: structured context to reason across, connected data to act on, and a system where humans direct and govern agent work at scale. The ones still fragmented keep running pilots that never graduate.

Humans and agents, working together

Same data, same state, same goals

Agents and humans operate on identical views of your business. Output, decisions, and context stay linked. No more wondering what the AI is doing or why.

Direct access or MCP connection

Agents can access Airtable directly or connect through MCP. Either way, they participate in workflows with full visibility for the humans who need to oversee them.

Collaboration at scale

The shared visibility between humans and agents is what makes collaboration possible at scale—not just for one workflow, but across your entire operation.

See how leaders deploy agents

What your competitors are deploying right now

These aren't demos or pilots that never graduate. They're agents in production—deployed by domain experts, generating measurable results, while you're still evaluating.

Agents analyzing customer feedback across channels

See the workflow

No rip-and-replace. Deploy agents on your existing stack.

You can't afford to wait for a platform migration. Agents in Airtable connect to Salesforce, Slack, Jira, and 100+ more via native integrations and MCP—so you can deploy agents this quarter, not next year.

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Leaders who moved first—and what they learned

"We went from months of collecting and triaging information to doing it in hours. Agents in Airtable work on the same data we do—we can see exactly what they're doing and step in when we need to."

Angela Yanes, Director of Product OperationseBay

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90%

faster time-to-insight with agents

Strategic resources for executive decision-makers

The Executive's Guide to Agent Deployment

What your board needs to know. How leading organizations are moving from AI pilots to production agents—with governance frameworks that earn trust.

2026 Agent Readiness Assessment

Where does your organization stand? Benchmark against industry peers and identify the gaps between you and the companies pulling ahead.

The Cost of Waiting: Agent ROI Analysis

The gap compounds daily. Quantify what delayed agent deployment costs your organization—and what early movers are gaining.

Organizations that move now will build advantages latecomers can't close

Talk to an agent strategist Start deploying agents today

Questions executives are asking about agents

This is exactly the right question—and why most organizations are stuck running pilots that never graduate. Chat interfaces and vibe-coded apps deliver impressive demos, but they lack the structured data foundation agents need for real operational work. The companies pulling ahead have figured out that agents need a real operational surface: structured context to reason across, connected data to act on, and governance so humans can direct agent work at scale. That's what Airtable provides. Airtable's agent platform is already running production agents at companies like eBay, JetBlue, and AWS—not demos, real workflows with measurable business impact.

Enterprises have spent decades building systems to govern how humans collaborate: hierarchy, policies, review processes, approval chains. Agents need the same thing. When teams structure their operations in Airtable, they're not just organizing work. They're defining the boundaries within which agents operate: what data agents can reason across, where human review is required, and how agent output flows into decisions. The workflow definition itself becomes the governance layer. And because agents work on the same surface as humans, their work is visible. Teams can observe what agents are doing, inspect their output, and intervene before results become final.

You're right to be impatient—the gap compounds daily. That's why Airtable is built for the people who know the work to deploy agents themselves. Any domain expert can deploy and manage agents by simply describing a task they want done. AI handles the translation from intent to production workflows. No developer queue. No IT tickets. No consultants. No 18-month implementation timelines. Organizations typically deploy their first production agents within weeks, not quarters. The companies pulling ahead aren't waiting for perfect conditions—they're deploying now and iterating.

Agents in Airtable can access data and take action across your entire stack. Whether through native integrations or MCP connections, agents work across your systems—not just inside Airtable. This means you don't have to rip and replace. Your engineering team can keep using Jira. Your sales team can keep using Salesforce. Agents operating in Airtable can reason across data from all of these systems while maintaining governance and visibility.

While you're evaluating, your competitors are deploying. That said, here's why organizations choose Airtable: Point solutions deliver depth in a single workflow but fragment AI capability across the business. Agents can only see narrow, isolated data. Enterprise infrastructure delivers scale and governance but wasn't architected for agents. Deploying AI requires developer effort that creates bottlenecks. Airtable is the platform for human-agent collaboration: an agent-first system of record where agents reason across your actual business operations, built for domain experts to deploy agents themselves, with the observability and control your board needs to trust agents in production. Explore our pricing or talk to an agent strategist to see how we can help you move faster.