What Is the Access Request Agent?
The Access Request Agent is a beta experience that helps employees request access using natural language in the Lumos AppStore and supported AI assistants. Instead of browsing a catalog and guessing which permission to select, employees can describe what they’re trying to do — for example, “I need Salesforce access to update customer accounts” — and the agent will:- Recommend the right app and permission (policy-bound and least-privilege)
- Ask targeted follow-up questions when the request is ambiguous
- Draft a higher-quality business justification
- Generate a request preview that the employee can review before submitting
Access Request Agent in AI Assistants and Bots
In addition to the Employee AppStore experience, organizations can also expose AppStore request workflows to approved AI assistants and developer tools using Lumos MCP support. This allows employees to use natural language access workflows directly from compatible AI clients such as Claude, Claude Code, Cursor, Gemini, Codex, Glean, and other MCP-compatible tools. Employees can use these assistants to:- Search available applications and permissions
- Discover least-privilege access options
- Draft or submit access requests
- Check the status of recent requests
- “Find the least-privilege Salesforce access that lets me create reports.”
- “Request Snowflake access for 30 days for Q3 reporting work.”
- “Show my recent AppStore access requests.”
Who Is This Beta For?
This beta is designed for organizations that want to:- Reduce back-and-forth on access requests caused by unclear justifications
- Help employees choose the correct permission level without training on entitlement naming
- Reduce time-to-request and improve request completion rates
- Enable secure AI-assisted access workflows using approved enterprise AI tools
How Employees Use It
Step 1: Open the Agent
Employees can access the agent from the Employee AppStore (web) wherever the beta entry point is enabled. Organizations using Lumos MCP can also access supported workflows from compatible AI assistants and developer tools.Step 2: Describe What You Need
Use plain language. Good requests include:- The app (if known)
- What you’re trying to do (task or outcome)
- Any relevant context (team, project, or urgency)
Step 3: Answer Clarifying Questions (When Needed)
If there are multiple valid permission options, the agent may ask a short follow-up question to narrow scope (for example, view vs. edit).Step 4: Review the Request Preview
Before submission, you’ll see a structured preview showing the app, permission, duration, and justification.Step 5: Submit or Switch to the Standard Form
You can:- Submit the request after reviewing it, or
- Switch to the standard request form at any time