What can you automate with Textlocal?
Discover powerful automation workflows you can set up in minutes with AI agents and Textlocal.
Intelligent Message Routing
Automatically categorize and route messages to the right team or person based on content.
Example:
"When a message contains 'billing' or 'invoice', create a ticket in support system and notify finance team"
Auto-Response with Context
Send contextual automated responses while escalating complex queries to humans.
Example:
"Reply to common questions instantly with AI-generated responses, and flag urgent issues for immediate attention"
Meeting Summaries
Automatically generate and share meeting summaries with action items to all participants.
Example:
"After each Textlocal meeting, extract key decisions and action items, then email summary to attendees"
How AI agents work with Textlocal
Our intelligent agents connect to Textlocal and automate your workflows seamlessly.
Trigger Event
An event occurs in Textlocal or another connected app that starts your automation.
AI Agent Processes
The AI agent analyzes the data, makes intelligent decisions, and determines the best actions to take.
Automated Action
The agent executes actions in Textlocal and other tools automatically—no manual work required.
Runs 24/7 on Autopilot
Once configured, your AI agents work around the clock, handling tasks instantly whenever triggers occur. You focus on strategy while automation handles execution.
Give Your AI Agents Textlocal Superpowers
Textlocal simplifies your workflows, while Arahi AI empowers these tasks with intelligent agents that automate and optimize your operations.
Message Automation
Auto-respond to messages with context-aware AI
Team Notifications
Send smart alerts and updates to your team
Customer Engagement
Engage customers at the right time with personalized messages
Equip AI Agents with the Textlocal Tools they need
Arahi AI seamlessly integrates with Textlocal to enhance your workflows and automation capabilities.
Pre-Built Tool Steps
Access ready-to-use Textlocal actions that you can add to your AI agents instantly. No configuration needed.
- Common Textlocal operations automated
- Drag-and-drop workflow builder
- Error handling built-in
Textlocal API Tool Steps
Make custom API calls to Textlocal with full control and flexibility for advanced use cases.
- API Key authentication
- Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)
- Custom headers and request body support
Connect Textlocal to Arahi AI in minutes
You don't need to be a developer to set up this integration. Follow this simple guide to get started.
Open Arahi AI
Sign in to your Arahi AI account and navigate to the integrations page or create a new AI agent.
Connect Your Textlocal Account
A secure pop-up will ask you to log in to your Textlocal account. This authorizes Arahi AI to access your API safely using API Key.
Add Textlocal as a Step
Choose "Textlocal" from the list of tools, then select what action you want to perform—like creating records, updating data, or triggering workflows.
Test and Deploy
Test your automation with sample data, then deploy it to run automatically on your schedule or triggered by events.
Security & Reliability
The integration utilizes secure API Key authentication, ensuring that only authorized workflows can access your Textlocal data. Arahi AI manages API operations seamlessly in the background—eliminating concerns about errors, formatting, or limitations.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don't need to. The inputs or outputs of your tools are never stored.
Best Practices for Textlocal Integration
Get the most out of the Textlocal + Arahi AI integration without writing code
Start with a clear setup
Ensure your Textlocal account is properly configured with the necessary permissions and API Key credentials.
Test with sample data
Run your automations using test data to ensure everything works smoothly before going live with production data.
Monitor API usage
Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate to optimize performance.
Validate inputs
Always check your input parameters for correctness before making API calls to avoid unnecessary errors and ensure data quality.