HR & onboarding · Production

HR chatbot — 50% fewer internal HR questions reaching the HR team

The problem

XIBIX Solutions' HR team was spending a significant portion of every day answering the same internal questions: holiday policies, expense procedures, benefits, onboarding steps. Repetitive, low-value work consuming expert time.

First attempt

First version answered questions without citing sources — HR team couldn't verify accuracy. Added source citation to every response. Also initial knowledge base was too outdated — built automated monthly refresh workflow.

Workflow diagram · grounded in source
1
Slack / Teams
Trigger
2
N8n
Orchestration
3
HR knowledge base
Retrieval
4
GPT-4o
Answer generation
5
Escalation
Human-in-loop
Reported outcome

50% reduction in HR questions reaching the HR team.
HR staff redirected to strategic work: policy development, employee relations, culture initiatives. 'n8n is one of the top three impact makers in the next 12 months for us.' — XIBIX Solutions team.

Reported metrics
Time saved50% fewer HR tickets
VolumeCompany-wide
Running sinceJan 2025
Reported stack
n8nOpenAI GPTHR knowledge baseSlack / TeamsGPT-4o
Source
XIBIX Solutions case study: Cuts HR questions by 50% with AI workflows on n8n (n8n.io)
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

50% reduction in HR questions reaching the HR team.

What tools did this team use?

n8n, OpenAI GPT, HR knowledge base, Slack / Teams, GPT-4o.

What results were reported?

Time saved: 50% fewer HR tickets; Volume: Company-wide; Running since: Jan 2025 (source-reported, not independently verified).

What failed first in this deployment?

First version answered questions without citing sources — HR team couldn't verify accuracy.

How is this hr & onboarding AI workflow structured?

Slack / Teams → N8n → HR knowledge base → GPT-4o → Escalation.