Atlas AI Assistant

Q1: What is Atlas?

Atlas is Login VSI's AI-powered product assistant for Login Enterprise.

Previously available as a feature called Login Enterprise Product Expert (LEX) during its initial development phase, Atlas has been officially renamed to reflect its expanded role as your intelligent guide to the Login Enterprise platform.

Atlas uses a large language model (LLM) and an index of search data trained on the Login Enterprise product documentation, knowledge base articles, best-practice guides, and technical content. You can ask questions in plain language and receive fast, contextual answers, no support ticket required.

Q2: What can Atlas do?

Atlas is designed to help VDI/DaaS administrators, desktop administrators, QA engineers, and application owners get the most out of Login Enterprise. Key capabilities include:

• Answer natural language questions about Login Enterprise features, configuration, and use cases.

• Provide step-by-step guidance on use cases for your environment (Citrix, VMware Horizon, Azure Virtual Desktop, Windows 365, physical desktops, and more).

• Recommend applicable Login Enterprise use cases based on your scenario.

• Explain product concepts and help new users get up to speed quickly.

• Surface relevant knowledge base articles, best practices, and technical documentation.

• Remember context within a conversation so you can ask follow-up questions naturally.

Q3: What are the current limitations of Atlas?

As a preview release, Atlas has some important limitations to be aware of:

• Atlas is scoped to the Login Enterprise product knowledge. It cannot answer general IT questions, provide guidance on third-party products outside of Login Enterprise integrations, or access your specific environment data or configurations.

• Session memory is limited to the current conversation. Atlas does retain context between separate sessions, but how long and how much is limited in preview and likely configurable by the customer when Atlas arrives at GA.

• Content is updated on a regular cadence (documentation approximately every 8 weeks; knowledge base articles more frequently), so very recent product changes may not yet be reflected.

• Atlas targets a response accuracy of >90% for product-related queries, but like all AI systems, it can occasionally provide incomplete or imprecise answers. Atlas provides citations as evidence of its responses. Always validate critical configuration steps against official product documentation.

• The preview supports up to 1,500 concurrent users. In the event of unusually high demand, response times may be affected.

• Multi-language support is not available in this release. Atlas responds in English only.

Q4: Is Atlas generally available, or is this a preview?

Atlas is currently available as a Preview. This means the feature is functional and supported, but is still being actively refined based on user feedback, content quality improvements, and performance data.

As a preview, you may encounter evolving functionality, occasional content gaps, or user interface refinements between releases. We encourage you to share feedback, as your input directly shapes the path to general availability (GA).

Q5: Where is Atlas hosted?

During the preview period, Atlas is hosted and operated by Login VSI. All AI inference, session management, and knowledge retrieval runs on Login VSI-managed Azure infrastructure. You do not need to provision any cloud resources to use Atlas in preview.

This arrangement allows us to iterate quickly, monitor quality, and ensure a consistent experience for all preview participants.

Q6: What will change when Atlas reaches General Availability?

At GA, Atlas will be available for deployment directly into your own Microsoft Azure tenant via the Azure Marketplace. This gives enterprise customers full control over data residency, network boundaries, and compliance posture.

The GA deployment model will allow you to:

• Deploy Atlas within your own Azure subscription.

• Keep all queries and responses within your organizational boundary.

• Manage the deployment using standard Azure tooling and governance.

Further details on GA packaging, marketplace listing, and deployment requirements will be communicated ahead of the GA release.

Q7: What does Atlas cost?

During the preview period, Atlas is included at no additional charge for all customers with an active Login Enterprise subscription.

Pricing for Atlas at and after General Availability has not been finalized. We expect to communicate any pricing changes to you as part of your renewal discussions. Any pricing changes will be applicable at the time of your next subscription renewal. You will not be charged for the Atlas mid-term under your current agreement.

Q8: How do I access Atlas?

Atlas is accessible at https://ai.loginvsi.com and requires a login, just like Login Enterprise. Look for the sign-in button. If you have not logged in before, there is a Sign up button at the bottom of the Sign in form. No separate installation or configuration is required for the preview.

Q9: Is my data safe when using Atlas?

Login VSI takes data privacy and security seriously. During the preview:

• Conversations with Atlas are logged for quality assurance and content improvement purposes.

• Query data is used to identify knowledge gaps and improve response accuracy.

• All data is transmitted over encrypted connections.

• Atlas does not have access to your Login Enterprise environment data, test results, or configurations unless you explicitly include that information in your query.

• Do not submit data that is sensitive or proprietary in the Login VSI-hosted Atlas preview (wait until you have a privately deployed GA instance).

For detailed information on data handling, retention policies, and compliance, contact your account team.

Q10: How do I provide feedback on Atlas?

We actively want your feedback during the preview period. You can share feedback directly through the Atlas interface using the thumbs-up/thumbs-down controls on any response, or by reaching out to your Login VSI customer success manager.

Feedback on response quality, missing content areas, and feature requests is especially valuable as we work toward General Availability.