AI-Powered Employee Database Management via Telegram using OpenAI and Airtable
Needs changesWhat this workflow does
This AI workflow has 22 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram, Airtable and OpenAI Chat Model.
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Employee Management AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 7 tools (Delete employee tool, Create Job Title Tool, Create Department Tool, Create Employee AI Agent tool…); memory: Simple Memory
- Create Employee AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 5 tools (Create employee, Create Job Title, Create Department, Get job titles data from airtable…); output parser: Structured Output Parser
- Send Message to User (Telegram): uses Telegram
- Update Employee Data (Airtable): update
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Employee Management AI Agent (v1.9), Create Employee AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Employee Management AI Agent (v1.9), Create Employee AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Airtable Tool
n8n-nodes-base.airtableTool - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Telegram
n8n-nodes-base.telegram - AI Agent
@n8n/n8n-nodes-langchain.agent - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Airtable
n8n-nodes-base.airtable
From the author
Who is this for? This workflow is perfect for: HR professionals seeking to automate employee and department management Startups and SMBs that want an AI-powered HR assistant on Telegram Internal operations teams that want to simplify onboarding and employee…