As teams continue to rely on cloud storage systems to manage documents, knowledge, and internal resources, the ability to connect those systems directly to AI workflows becomes increasingly essential.
Today, we’re introducing a new capability that supports exactly that: OneDrive data integration.
This update allows you to connect your OneDrive account directly to your AI agent, making it easier to bring your existing files into the system, keep them synchronized, and manage data updates without manual uploads.
Built on top of the same underlying flows used for SharePoint, this new integration is designed to be reliable, scalable, and familiar to anyone already using Microsoft’s ecosystem.
In this post, we’ll walk through what the integration does, why it matters, how syncing works, and how this addition fits into your workflow.
Expanding How You Bring Content Into Your Agent
OneDrive is a widely used storage platform for businesses of all sizes—whether teams are organizing internal documents, collaborating on shared files, or managing structured libraries of information.
Integrating OneDrive directly with your AI agent removes the manual friction involved in file management.
Instead of downloading and re-uploading files, you can simply connect your OneDrive account and let the system pull in your content automatically.
Because this integration reuses most of the existing SharePoint flows, it inherits proven scalability and reliability. If you’ve worked with SharePoint before, the setup process will feel familiar, and the system can support large datasets without additional configuration.
The feature is designed for users who want a consistent, repeatable way to bring OneDrive files into their AI workflows—with minimal overhead.
Why OneDrive Data Integration Matters
The value of OneDrive integration goes beyond the convenience of an additional file source. It strengthens how teams manage information throughout the AI lifecycle.
Centralized content access
Instead of scattering your documents across different upload points or manually maintaining versions, you can rely on your existing cloud structure.
If your team already uses OneDrive as a central repository, the integration allows your AI agent to access that content in a clean and unified way.
Reduced manual effort
Without integration, every document change requires re-uploading updated versions. With OneDrive connected, the system can access the files directly, eliminating repetitive steps and reducing the chance of outdated information lingering inside your agent.
Immediate compatibility
Because the integration reuses the same core foundation used for SharePoint, it benefits from established workflows, consistent behavior, and ready-to-scale performance for larger teams.
Support for evolving data
As your OneDrive content evolves—new files, updated versions, reorganized folders—the AI agent can stay aligned with those changes through auto-sync (for Enterprise). This helps keep your knowledge sources accurate over time without requiring manual updates.
The integration ultimately provides a more natural way to manage ongoing content updates and ensures that your AI agent stays aligned with what your team is storing and modifying in OneDrive.
Connecting Your OneDrive Library
Integrating OneDrive into your AI agent involves connecting your Microsoft account and selecting the content you want the agent to access. Once the connection is established, your agent can read and process files the same way it processes any other data source.
The connection makes it possible to:
- bring in documents stored in personal OneDrive containers
- pull content from shared files you have access to
- use your OneDrive folder structure to organize datasets
- provide consistent context for your AI agent without re-uploading files
The process is designed to be as direct as possible: authenticate, connect, and let the system handle the rest.
Understanding Auto-Sync: Keeping Your Files Up to Date
One of the most valuable aspects of cloud storage integration is synchronization. When files live in OneDrive, they naturally evolve—employees update internal documents, policies change, or existing files are revised.
The auto-sync capability ensures that your AI agent stays aligned with those changes.
Auto-sync for Enterprise users
Enterprise users gain access to automated syncing. This means:
- the agent checks for changes
- any updates to files are reflected in the system
- newly added files can be processed
- removed files are excluded on the next sync
Auto-sync helps maintain accuracy without requiring manual intervention.
Instant sync on update
In addition to automated syncing, Enterprise users have instant sync: whenever a connected file changes, the system updates immediately. There is no waiting period between updating a document in OneDrive and the change appearing in your agent’s data sources.
This minimizes gaps between your most current content and what your AI agent is aware of.
On-demand sync behavior
For Enterprise users, one additional benefit is on-demand automation, meaning syncs occur as needed based on change detection. Users don’t need to trigger sync manually or schedule it.
These capabilities ensure your agent’s knowledge stays aligned with your organization’s latest information.
A Consistent Experience Across Microsoft Integrations
Because OneDrive and SharePoint share underlying technology, both integrations behave in a similar way from the perspective of the user. This consistency helps establish a unified approach to managing Microsoft-based data inside the AI agent.
For teams that already use SharePoint, the OneDrive integration expands the ecosystem without introducing new workflows or separate sets of rules. This means:
- familiar authentication steps
- predictable data ingestion
consistent handling of updates - shared performance characteristics
The integration feels like a natural extension rather than a separate tool.
Where OneDrive Data Integration Fits Into Your Workflow
Integrating OneDrive helps support a variety of workflows, especially for teams that store important documents, reference materials, and operational content within Microsoft’s ecosystem.
Here are some examples of how OneDrive fits naturally into daily operations:
Knowledge base updates
If your team updates internal documentation frequently, instant auto-sync ensures your agent always references the newest versions.
Cross-team collaboration
Shared files across departments can be brought into the AI agent without re-uploading. This supports coordination between teams that work across multiple OneDrive directories.
Controlled testing environments
When experimenting with new datasets, OneDrive allows you to point to specific folders, adjust content, and let the agent adapt automatically.
Information management workflows
Teams using OneDrive as their central storage solution can directly connect that structure to the AI agent without altering their internal file organization.
The integration is flexible enough to support basic storage needs as well as more complex content pipelines.
Designed for All Standard Users
OneDrive integration is included in the Standard plan, making it widely accessible. This ensures that users across different environments—small teams, independent users, and growing organizations—can connect their OneDrive accounts without upgrading to a specialized tier.
The core functionality remains the same across Standard and Enterprise, with Enterprise gaining advanced syncing capabilities to support larger or more dynamic datasets.
Conclusion
The release of OneDrive integration makes it easier than ever to connect your files to your AI agent, maintain updated sources, and streamline your content workflow.
With a foundation built on the familiar SharePoint structure and support for both manual and automated syncing (depending on your plan), you can rely on a predictable, efficient system for keeping your agent informed.
Whether you manage a shared library of documents, maintain organizational knowledge in OneDrive, or simply prefer to store files in Microsoft’s cloud ecosystem, this integration provides a direct path for bringing that content into your AI-driven tools.