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Companies across industries are increasingly exploring AI-powered HR assistants to streamline recruitment, employee support, onboarding, and internal HR processes.

But moving from original processes to a reliable, agentic HR assistant, requires more than just plugging in an LLM.

How do you design, build, and deploy an AI HR Assistant that actually works in real business environments?

In this 60-minute interactive webinar, we’ll walk through the end-to-end design and implementation of an Agentic AI HR Assistant, with a strong focus on practical architecture and real-world execution. You will also see a live implementation of an HR Agent built with n8n, orchestrating LLMs, workflows, and enterprise tools to solve concrete HR use cases.

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### You’ll learn

🧩 Core Concepts of Agentic AI for HR
How agentic systems can help leverage actual HR challenges a lot of teams are currently facing.

🏗️ Architecture of an AI HR Assistant
How to design a production-ready HR assistant:

  • LLM selection and prompting strategies
  • Tool usage & function calling
  • Memory, context, and state handling
  • Human-in-the-loop and guardrails

🤖 Typical HR Use Cases Powered by Agents
Concrete examples, including:

  • HR policy & internal knowledge assistants
  • Candidate screening & interview preparation
  • Secure handling of sensitive HR data

💡 Live Demo: Building an Agentic HR Assistant with n8n
Watch a full HR agent in action using n8n:

  • Agent orchestration with workflows
  • LLM reasoning steps
  • Tool integrations (mmostly through documents)
  • End-to-end execution of an HR scenario

🧪 Interactive Q&A and Architecture Discussion
Ask questions live and discuss design trade-offs, limitations, and best practices for deploying AI agents in HR environments.

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📅 Duration: 60 minutes
🔗 URL: https://events.teams.microsoft.com/event/1f0a6abf-96bc-4d89-962f-3c896092055b@d94ea0cb-fd25-43ad-bf69-8d9e42e4d175

Artificial Intelligence
Big Data
Data Science
Python
Software Development

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