Agent Use Cases › Marketing
Research, draft and publish LinkedIn posts for four regions
A facilities company runs an n8n content engine that drafts on-brand LinkedIn posts per region, with approval done in Outlook.
Done with: n8n + LLMs via OpenRouter (Agenticise)
What they did
Excellerate Services queues topics in Excel; an n8n engine researches, drafts, illustrates and, after a human approves in Outlook, publishes to four LinkedIn pages (UK, Middle East and South Africa cleaning, South Africa security).
12 hours a week → about 2 hours of oversight.
How it went
Per the case study: weekly content work dropped from about 12 hours to about 2 hours of oversight, with posts going out consistently on all four pages.
Try it yourself
Build an n8n workflow that reads topics from [Excel/Sheet], researches each one, drafts a LinkedIn post in [brand voice] for [each region/page], creates an image, and emails me the draft with Approve/Reject buttons. Only publish to [LinkedIn page] after I approve.Source: Agenticise case study ↗
Date: Jun 15, 2026 · Results are as reported by the source, not independently verified by Zip AI.
Date: Jun 15, 2026 · Results are as reported by the source, not independently verified by Zip AI.
Have Zip AI build this for you
We set it up, connect your tools, and keep a human approval step in place.