Microsoft has introduced AI Workflows in the Teams Workflows app, leveraging Microsoft 365 Copilot to deliver smart automation for everyday tasks.
This feature lets users set up scheduled prompts through ready-made templates, simplifying complex operations and boosting productivity without manual effort.
As teams rely more on collaborative tools, this update aims to cut down repetitive work, but cybersecurity experts urge caution due to potential data exposure risks in enterprise environments.
The rollout targets users with a Microsoft 365 Copilot license. It kicked off in Targeted Release during late September 2025, wrapping up by early October.
Worldwide General Availability began in late January 2026, with completion expected by mid-February 2026, per Microsoft’s announcement.

Currently supporting Teams for Web and Mac, the timeline shifted from an earlier mid-October plan.
Users access templates straight from the Workflows app homepage, where AI handles interactions with personal data to trigger actions like emails or Teams posts.
Here’s a breakdown of key details:
| Feature | Details |
|---|---|
| Feature Name | AI Workflows powered by Microsoft 365 Copilot |
| Primary Function | Automate tasks via scheduled Copilot prompts and predefined templates |
| License Requirement | Microsoft 365 Copilot license |
| Platform Support | Teams for Web and Mac |
| Default Status | Off by default |
| Maximum Scheduled Prompts | Up to 10 different scheduled prompts |
| Template Types | Automation with scheduled prompts and outputs (email, Teams posts) |
| Setup Approach | Predefined templates for quick configuration |
| Data Interaction | Interacts with user data for workflow automation |
| Admin Control | Cloud Policy: “Allow additional optional connected experiences in Office” |
| Notification Options | Email alerts for prompt responses |
| Access Point | Workflows app in Microsoft Teams |
Admins must enable the Workflows app in Teams settings, as it’s disabled by default. To block it, set the named Cloud Policy to Disabled, which also halts Copilot’s scheduled prompts.
This gives organizations tight control over deployment, vital for compliance.
From a security standpoint, AI Workflows introduce risks. Scheduled prompts process user data via generative AI, potentially exposing sensitive information if misconfigured.
Past issues like Copilot flaws and Teams location sharing highlight vulnerabilities in Microsoft ecosystems.
Enterprises face threats from prompt injection attacks or data leaks in automated flows. The feature’s reliance on “optional connected experiences” could bypass some safeguards, amplifying generative AI risks.
Organizations should audit data policies, test in isolated environments, and monitor for anomalous AI interactions.
Enable only after aligning with governance frameworks. While promising efficiency, proactive security measures are essential to mitigate new attack surfaces in this Copilot-driven automation.
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