Airtable enables enterprises to power critical business with AI

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Introducing new capabilities with Airtable AI

Introducing new capabilities with Airtable AI

Today, we’re launching additional capabilities for Airtable AI to give enterprises new ways to accelerate and transform core business processes across their organizations. These new features ensure that teams can harness the power of AI at scale to augment critical workflows within Airtable and ultimately, increase revenue by making better decisions, faster. Along with these additional capabilities, Airtable AI is now available to all customers.

A Single Platform to Deploy AI in Mission-Critical Operations 

Few enterprises need convincing about the transformative power of generative AI. However, in a recent survey from McKinsey, less than a third of business leaders said that their organizations had adopted AI across multiple functions – indicating that AI use in business remains limited in scope. At the same time, hundreds of new AI-powered offerings have emerged over the last year, complicating companies’ ability to manage tool sprawl, maintain data governance, and effectively operate their most important workflows.


With the expanded capabilities we’re introducing today, companies can more easily transform digital processes using AI at scale. Organizations can quickly implement Airtable AI in a broad range of knowledge work across marketing, product, and other business functions.

  • Summarize and extract insights: Analyze large amounts of detailed information and extract key insights, summarize them in a digestible format, and automatically share them with relevant teams via email or other channels. 

  • Categorize information: Automatically apply categories or tags to information at scale to help teams further organize and take action on their data. For example, teams can categorize large amounts of product feedback by sentiment, product area, or language – and then automatically post negative feedback to a team's Slack channel to quickly take action.

  • Generate content: Instantly create content based on the data stored in Airtable and tailor it to multiple channels and people. For example, sales teams can automatically generate emails to prospective customers with approved messaging, tailored to the recipient’s organization, while marketing teams can generate drafts of campaign assets like social posts and blog content. 

  • Translate any language: Instantly translate across multiple languages, whether it’s standardizing product feedback into one shared language to identify global opportunities or translating customer-facing content so it resonates across regions.

  • Route work-in-progress: Match data and quickly route it to the right person or team to act on. For example, product teams can route feedback to the right engineers. 

“Organizations have enormous potential to transform the way they work with AI," said Airtable co-founder and CEO Howie Liu. "From the beginning, Airtable has been the most powerful way for teams to work with structured data. Now, Airtable AI offers the fastest way to bring AI to the data and the workflows that matter the most, uniquely unlocking AI capabilities for customers small and large.


Airtable AI Capabilities Rooted in Enterprise's Most Pressing Needs

During our beta program, over 1200 organizations collectively produced millions of AI-generated responses through Airtable AI. For example, AWS, one of Airtable AI’s early customers, implemented multiple use cases to accelerate their marketing workflows. "AWS leverages Airtable AI on Amazon Bedrock to further enhance and automate processes,” said Jonathan Laniado, Senior Automation Manager, AWS. “Airtable has enabled AWS to quickly build the frontends and backends of internal applications, which are now integrated with generative AI — no code or engineering resources are necessary. Now, AWS marketing teams are delivering better experiences to its customers thanks to the boost in workflows in productivity."

Airtable’s new AI-powered features include comment summarization, formula generation, automations, and content drafting. Learn more about the five initial capabilities launching today, which will grow over time, on our blog

Giving Customers Control with Leading Edge LLMs & Enterprise-grade Security 

Airtable AI allows customers to choose which AI models to utilize based on their needs and preferences. Currently, foundation models are provided by OpenAI GPT-3.5 and GPT-4, as well as Anthropic Claude and Claude 2 via Amazon Bedrock. No data is retained within these models, and customer data is not used to train current or future models, so teams can ensure their data is secure. As new capabilities become available, Airtable will add additional models to give customers an even wider breadth of choice. 

Additionally, Airtable AI is a paid, opt-in feature that is only enabled if purchased and turned on. Airtable admins can choose to enable this functionality for a specific set of workspaces, or for all workspaces within your organization in the Admin Panel.

Airtable AI is now available to new and existing customers. To learn more and conduct a demo, visit

Unlock your unknown with Airtable AI

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