Marcus SaitoHead of IT and AI AutomationRemote
IT help desk. 1,800 employees. About 1,100 tickets a month.
Zapier blog (vendor case study), published Read the case study (opens Zapier blog (vendor case study) in a new tab)
Observation
At Remote, a three-person IT team runs the company help desk on Zapier and lets automation close tickets.
- Takeaway
- Start with a high-volume internal queue and keep its ticket records in your own system. Once the Zap works, staff a team to handle other departments' requests.
- What happened
- Remote reports that 27.5% of IT tickets close automatically and that IT saves 616 hours a month. Employees submit requests through Slack, email, or a chatbot. A Zap looks up the requester in Okta. ChatGPT sets priority and category before the ticket goes to Notion and Zapier Tables. Zapier Agents drafts a fix from past tickets in Tables. IT staff claim tickets with a Slack emoji. As other departments requested automations, Marcus created an IT Integrations Engineer role and an automation team. About 150 employees use Zapier.
- Vendor case study
- Metrics published by Zapier
- Head of IT quoted
Deployment details
IT help desk. 1,800 employees. About 1,100 tickets a month.
- Vendor case study
- Metrics published by Zapier
- Head of IT quoted
- Team
- Remote IT, three people
- Workload
- IT help desk tickets for the whole company
- Product version
- Zaps, Zapier Tables, Zapier Agents, ChatGPT, Okta, Notion, Slack
- Measurement
- 27.5% of tickets closed automatically; 616 hours a month saved in IT; 11 million tasks in a year
