We’ve transformed our operations with AI—you can, too

11 ways Zapier employees use AI
Hear from Co-founder Mike Knoop on how 50% of Zapier employees are using AI to accelerate their day-to-day work.

How Zapier turned $1 million in funds to a $5 billion valuation
Wade Foster, Co-founder and CEO of Zapier, explains how Zapier scaled profitably with the help of automation and AI.

How to future-proof your job in B2B sales and marketing
Reid Robinson, Lead Product Manager for AI at Zapier, shares the implications AI will have on B2B marketing, use cases in B2B SaaS, and how to future-proof yourself as a marketer.
Take a page out of Zapier's playbook



Sales and Success team members can reduce their prep time before customer calls in Gong by having AI look at a record or deal in HubSpot, gather information about the company, come up with any automation challenges they may be experiencing, then share it with the right person in Slack.



Pull recordings of customer calls from the sales CRM, summarize each call with a quick overview, then post it in Slack, so your team can learn from the interactions.


Our Support team built this ChatGPT-powered bot and pulled it into a Slack support channel. It helps them troubleshoot issues with Zaps, get automation ideas, and learn how to use Zapier features more quickly.



Whenever the support team specialists submit an entry in Typeform that describes an issue, ChatGPT will create a status page message and send it to Slack for approval. Then a webhook sends the approved message as a new update on Zapier's status page.


A lot of our writers' time is spent researching articles for blogs. This workflow has AI read and analyze articles before summarizing the key points and takeaways.



The video team leverages AI to write rough scripts for YouTube based on article outlines they source from the blog team. The team is sent the scripts in Slack and gets to review and refine them from there.

The PR team created a range of Chatbots to generate press releases, assess risk, review pitches, and analyze sentiment of a press article.



The social media team uses a range of Chatbots to automate various tasks on social media platforms. From posting content to responding to comments and messages to liking and sharing posts (and even following users), these bots can post content at optimal times for engagement and analyze data to understand trends and user behavior.


The team built a workflow that summarizes Slack messages, transforms that summary into a Jira ticket, then adds it to the next planned sprint in Jira.



When analyzing customer interactions and KPIs, the team also leverages a workflow that takes every message within a Zendesk ticket, uses AI to categorize the conversation, and adds all the metrics (like number of replies) to an existing Google Sheet for metrics tracking.



Our accounting department has to keep track of an incredible amount of tasks throughout the week, so they use AI to pull a list of tasks in Slack, prioritize them in order of importance, along with an estimated time slot to complete them.



Whenever a user receives an email alert about an expenditure, ChatGPT extracts relevant information (like vendor and amount), then categorizes it and adds it to a Google sheet for further analysis.



The RevOps team created a workflow that automatically builds trial expiration emails (including the copy) that highlight specific Zapier features that are most relevant to the user.


The team built a bot in Slack that answers common questions from internal sales reps about lead stages, lead definitions, and how certain sales processes work. This workflow uses Zapier internal documentation to answer questions, so all answers are up to date and accurate.