Hr ops · Production

TUP automates HR requests and internal knowledge access with n8n

The problem

Key internal tasks such as sick leave and remote work requests were handled through long email chains and manual calendar coordination. Project knowledge was scattered across Confluence, making it slow to answer practical questions. Most teams also had little practical experience with AI or automation.

Workflow diagram · grounded in source
1
Employee email request
trigger
“Employees send an email, the workflow is evaluated automatically using AI”
2
AI evaluates request
ai_action
“the workflow is evaluated automatically using AI”
3
Calendar and rule verification
validation
“TUP checks company rules by looking at calendar usage, verifies whether a person has already used their allowed days”
4
Accept or reject routing
routing
“then accepts or rejects the request accordingly”
5
Calendar and admin communication
output
“n8n orchestrates the downstream steps — ensuring the right calendar entries and administrative communication happen without delay”
6
Knowledge chatbot answers queries
ai_action
“TUP built an internal chatbot by connecting OpenWebUI and its knowledge store using n8n. Employees can ask questions about specific projects and get answers without manually searching through Confluence spaces and pages”
Reported outcome

Administrative tasks that previously required ongoing manual attention are now completed in seconds.
In the last 30 days, TUP ran 1,282 executions with only 12 failures and saved 26 hours of work. Teams now bring repetitive problems to the automation team expecting them to be resolved with n8n.

Reported metrics
Workflow executions in 30 days1,282 executions
Workflow failures in 30 days12 failures
Failure rate0.94%
Work hours saved in 30 days26 hours
Show all 5 reported metrics
workflow executions in 30 days1,282 executions
workflow failures in 30 days12 failures
failure rate0.94%
work hours saved in 30 days26 hours
task completion speedcompleted in seconds
Reported stack
n8nOpenWebUIConfluence
Source
https://n8n.io/case-studies/tup/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Administrative tasks that previously required ongoing manual attention are now completed in seconds.

What tools did this team use?

n8n, OpenWebUI, Confluence.

What results were reported?

Workflow executions in 30 days: 1,282 executions; Workflow failures in 30 days: 12 failures; Failure rate: 0.94%; Work hours saved in 30 days: 26 hours (source-reported, not independently verified).

How is this hr ops AI workflow structured?

Employee email request → AI evaluates request → Calendar and rule verification → Accept or reject routing → Calendar and admin communication → Knowledge chatbot answers queries.

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