What can you automate with Microsoft 365?
Discover powerful automation workflows you can set up in minutes with AI agents and Microsoft 365.
Task Auto-Assignment
Intelligently assign tasks to team members based on workload, skills, and availability.
Example:
"When a new task is created in Microsoft 365, analyze requirements and assign to the best-fit team member"
Progress Updates
Send automated status updates to stakeholders when milestones are reached.
Example:
"When project completion reaches 50%, 75%, and 100%, generate progress report and email to stakeholders"
Deadline Reminders
Smart reminders that escalate based on task priority and proximity to deadline.
Example:
"Send reminders 3 days, 1 day, and 2 hours before deadlines, with escalations for high-priority tasks"
How AI agents work with Microsoft 365
Our intelligent agents connect to Microsoft 365 and automate your workflows seamlessly.
Trigger Event
An event occurs in Microsoft 365 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 Microsoft 365 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 Microsoft 365 Superpowers
Microsoft 365 simplifies your workflows, while Arahi AI empowers these tasks with intelligent agents that automate and optimize your operations.
Workflow Automation
Automate repetitive tasks and save hours daily
Data Sync
Keep your data synchronized across all platforms
Smart Scheduling
AI-powered scheduling based on priorities and availability
Equip AI Agents with the Microsoft 365 Tools they need
Arahi AI seamlessly integrates with Microsoft 365 to enhance your workflows and automation capabilities.
Pre-Built Tool Steps
Access ready-to-use Microsoft 365 actions that you can add to your AI agents instantly. No configuration needed.
- Common Microsoft 365 operations automated
- Drag-and-drop workflow builder
- Error handling built-in
Microsoft 365 API Tool Steps
Make custom API calls to Microsoft 365 with full control and flexibility for advanced use cases.
- OAuth authentication
- Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)
- Custom headers and request body support
Connect Microsoft 365 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 Microsoft 365 Account
A secure pop-up will ask you to log in to your Microsoft 365 account. This authorizes Arahi AI to access your API safely using OAuth.
Add Microsoft 365 as a Step
Choose "Microsoft 365" 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 OAuth authentication, ensuring that only authorized workflows can access your Microsoft 365 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 Microsoft 365 Integration
Get the most out of the Microsoft 365 + Arahi AI integration without writing code
Start with a clear setup
Ensure your Microsoft 365 account is properly configured with the necessary permissions and OAuth 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.