Case Study

AI HR Assistant for a B2B IT Services Company

A Slack-based AI HR Assistant that helps employees get quick answers to HR questions, supports new joiners with onboarding checklists, and gives HR better visibility into recurring employee needs.

The Problem

A B2B IT services company with a 30–50 person team needed a better way to support employees with routine HR questions and onboarding needs.

As the team grew, HR was spending repeated time answering the same questions across Slack, email, and direct messages.

Common questions included:

  • Leave policies

  • Payroll timelines

  • Benefits details

  • Company policies

  • Onboarding steps for new joiners

The issue was not only the time spent answering questions. Information was scattered, employees often asked the same things repeatedly, and new joiners needed extra support to understand what to do next.

HR needed a simple, employee-friendly way to provide quick answers, reduce repetitive back-and-forth, and capture useful feedback from the team.


The Solution

Zuvtor developed a friendly AI HR Assistant integrated directly into Slack.

The assistant was trained on the company’s HR knowledge base and designed to answer common HR questions in a clear, helpful, and employee-friendly tone.

It also supported new joiners with onboarding checklists and collected employee feedback and suggestions, giving HR a more structured way to support the team without becoming the bottleneck for every repeated question.


What Was Built

Conversation Layer

The AI HR Assistant was built as a Slack-based employee support bot.

It could:

  • Answer HR FAQs instantly

  • Respond to questions about leaves, payroll, policies, and benefits

  • Guide employees to relevant HR information

  • Support new joiners with onboarding checklists

  • Collect feedback and suggestions from employees

  • Use a friendly, simple, and professional tone

This gave employees an easy way to get help without waiting for HR to respond manually every time.


Automation Layer

Behind the conversation, the assistant helped structure routine HR support and onboarding flows.

It could:

  • Pull answers from the HR knowledge base

  • Guide new joiners through onboarding steps

  • Capture feedback and suggestions in a structured format

  • Route unanswered or unclear questions to HR for review

  • Help identify recurring questions and knowledge gaps

This reduced repetitive HR work while improving visibility into what employees were asking most often.


Tech Stack / Integration Layer

The solution connected the Slack-based HR assistant with the company’s HR knowledge base and internal support workflow.

Core tools and integrations included:

  • Slack for employee access and daily HR interactions

  • ChatGPT APIs for natural-language understanding and response generation

  • Make.com for automation logic, routing, and workflow orchestration

  • Company HR knowledge base for leave, payroll, policies, benefits, and onboarding information

  • Feedback capture layer for employee suggestions and recurring concerns

  • Reporting layer to identify common questions, feedback themes, and missing knowledge areas

The system made HR information easier to access, more consistent, and less dependent on manual replies.


What This Solution Enables

The AI HR Assistant gave the company a simple first-response HR support layer inside Slack.

It helped the team:

  • Save 20+ hours every week by reducing repetitive HR queries

  • Reduce repeated questions around leaves, payroll, policies, and benefits

  • Improve response time for employees from hours to seconds

  • Support new joiners with guided onboarding checklists

  • Capture employee feedback and suggestions more consistently

  • Identify recurring HR knowledge gaps and update the knowledge base

  • Free HR to focus on employee experience, people operations, and higher-value work

  • Create a more structured and consistent employee support experience

The biggest value was not just faster answers. It was fewer repeated interruptions, quicker employee support, and more visibility into what the team needed most.


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