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Your data. Your choices.

AI should help you build on what is yours. Our approach starts with a workspace for your work, clear choices about the AI you use, and boundaries around what you share.

Updated 25 October 2026 · Product protections and their boundaries

Your work. Your control.

A home for your ideas.

Spaces bring applications, ideas, research and plans together. Access checks distinguish personal content from work shared with others.

Your choice of AI.

Choose from the models available in your workspace. Supported deployments can connect your own model provider or a compatible gateway, so your AI journey can evolve with your needs.

Collaboration by choice.

Agentic Teams are where you collaborate with agents and people. Shared conversations have their own context; they do not become a doorway into your private chat history.

Your work should go where you go.

Data liberation starts with being able to keep a copy of your work and choose what happens to it next. You can export supported account data and download available files to keep outside a7i.ai.

In your profile settings, open Your data → Export my data. The download is a JSON file containing your account records, conversations, settings and supported content, including data from apps you own. Download important original files separately where available.

Keep those copies for your own records, or reuse them in tools that support their formats. The account export is not a complete backup of a shared workspace, and another service may need conversion or setup to use it. It does not automatically move a working app, integration or AI memory into another product.

You can also choose among the AI models available in your workspace. Supported deployments can connect your own model provider or a compatible gateway.

How to export before deleting your account →

Know where your information goes.

You bring the context.

A message, a document, an application or a connected account. The content needed depends on the task and the access available to that conversation.

The task uses AI and tools.

When a cloud model handles your request, relevant content is sent to its provider. Connected services may also process information when you use their tools. Their terms and retention rules apply.

You decide what comes next.

Keep useful results in your workspace, choose what to share and disconnect services you no longer need. Disconnecting stops future access; it does not erase content already saved in a chat or document.

Private chat has a specific meaning.

With private chat enabled, a7i.ai’s chat-content writers skip saving the conversation to session history, durable run events and the memory log. Private-chat logging suppresses content-bearing messages and error details. Operational usage information can still be recorded.

Tools still work, and what they create can still be saved. A document, image or other result made during a private chat can remain in your workspace. Private chat also does not prevent a selected cloud AI provider from processing the request.

Protection at more than one layer.

Workspace separation, sign-in protections, identity and ownership checks, shared-context restrictions, connection permissions and browser protections work at different points in the request. We explain both the controls and the conditions they depend on.

See how the security layers work →

Clear answers before you commit.

Can an agent access everything in my workspace?

No. Access depends on the user, the tool, the content’s permissions and the context of the run. Shared conversations use restricted access, and supported account connectors check which connections have been granted to the agent.

What stops someone signing in as me?

Sign-in attempts are limited for each network and each account, and signed-out visitors cannot tell which workspaces exist. In Settings, you can see where you are signed in and sign out of any device, or everywhere at once. If you are locked out, a workspace owner or admin can issue a one-time reset link after confirming who you are.

Does “your data” mean all processing happens on my device?

No. Cloud models and connected services can receive content needed for a request. A local model changes where inference happens, but other enabled features may still use cloud services. Review your whole configuration, not just the model name.

Can I choose where all of my data is processed?

Hosting location and model-processing location are separate questions. Strict regional enforcement across models and connected services is planned work, not a universal guarantee today. Discuss residency requirements before putting regulated or location-restricted information into a workspace.

What should my business check before getting started?

Agree who can use and administer the workspace, which models and connections are appropriate, what may be shared, and how retention and deletion should work. Ask us to confirm the controls enabled for your deployment.

Trust grows through clear choices.

Start with the work you are comfortable bringing to AI. Add connections and collaboration deliberately. Revisit the settings as your business and your use of AI grow.

Talk to us about your workspace · Privacy policy · Data deletion