Build AI Agents that get real work done

ToolJet Agents help teams automate workflows, connect data, and act intelligently across systems. Build, deploy, and manage enterprise-grade AI agents in minutes.

Bring intelligence into your workflows

Use an AI Agent node to your workflows to enable real-time reasoning, decision-making, and autonomous task execution. Connect your preferred LLM, business data, and 100+ tools so agents can understand context and act on real-world tasks seamlessly.

Build, power and debug agents visually

Assemble AI Agents with a drag-and-drop builder, connect models and tools, and leverage a rich node library-no code required. Debug and refine your agents visually, making it easy to build, test, and scale with confidence.

Invoke agents from any trigger

Run AI Agents within workflows triggered by schedules, webhooks, or app events-so intelligent decision-making kicks in exactly when your business needs it.

Scale reliably

Run AI Agents reliably across long-running processes, parallel workflows, and complex, multi-step decisions. Ingest and reason over large-scale data from multiple sources while maintaining performance, context, and accuracy.

Handle long-running processes reliably

Run AI Agents within complex workflows that manage approvals, retries, external waits, and human-in-the-loop steps. Agents retain context and continue reasoning across extended processes-ensuring reliable execution from start to finish.

Scale across multiple workflows

Deploy AI Agents in parallel-enabling teams to automate complex decisions at scale without impacting performance or reliability.

Process and reason over large-scale data

Empower AI Agents to ingest and reason over high volumes of data from databases, APIs, and services-making context-aware decisions even as data complexity and scale grow.

Use cases

AI Agents connecting your stack-less manual coordination, clearer outcomes.

  • Schedule meetings automatically across calendars

  • Generate and assign tasks based on Slack messages

  • Auto-create purchase orders for low inventory

  • Personalize marketing campaigns in real time

  • Handle customer refund requests automatically

Problem

Managers spend hours each week coordinating meetings, checking calendars, and sending invites—a repetitive and inefficient task.

Solution

A user can simply say,

Can you find time for me to meet with John and Jane next week to discuss the product launch?

The AI Agent checks Google Calendar for common availability, creates an invite, and sends an email through Gmail with the meeting details.


Schedule meetings automatically across calendars

Problem

Managers spend hours each week coordinating meetings, checking calendars, and sending invites—a repetitive and inefficient task.

Solution

A user can simply say,

Can you find time for me to meet with John and Jane next week to discuss the product launch?

The AI Agent checks Google Calendar for common availability, creates an invite, and sends an email through Gmail with the meeting details.


Generate and assign tasks based on Slack messages

Problem

Action items shared in Slack or team chats are often forgotten or lost in message threads, leading to dropped tasks.

Solution

When a message like

We need to fix the checkout flow bug before the Friday release.

appears in Slack, the AI Agent identifies it as an action item, creates a GitHub issue or Jira task, and updates the project management board automatically.


Auto-create purchase orders for low inventory

Problem

Procurement teams often react late to inventory shortages, especially when manual checks are needed to identify low stock.

Solution

The AI Agent monitors inventory data and when stock of an item drops below threshold, it triggers:

  • A vendor API call to create a purchase order
  • Sends a confirmation email through Gmail
  • Logs the transaction in an ERP or Google Sheet

Personalize marketing campaigns in real time

Problem

Marketing teams struggle to manually tailor emails or push notifications based on customer behavior and recent purchases.

Solution

The AI Agent analyzes incoming CRM data (e.g., HubSpot or Salesforce), identifies customer segments, and triggers personalized email or message campaigns using SendGrid or WhatsApp API.


Handle customer refund requests automatically

Problem

Customer support teams manually review refund emails, verify orders, and initiate refunds—slow and error-prone.

Solution

The AI Agent reads refund requests received on Gmail or Zendesk, validates order details via Shopify API, determines refund eligibility, and triggers a Stripe refund if valid—while sending a confirmation email back to the customer.


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