Plain-language event feed
No raw error codes or confusing trace waterfalls. Events clearly identify the actor (Ariel, a teammate, or a schedule), the timestamp, and the clear business outcome.
Activity in neptune.os gives dealership teams visibility into daily events, system states, and required approvals. Clearly distinguish Needs review, Waiting for login, and Completed states. Ariel is your dealership’s AI employee; neptune.os is the shared workspace.
A clear, plain-language event log for your entire dealership. See who did what, when it happened, what the result was, and what needs human attention next—without developer stack traces or raw JSON logs.
Coming soon from VisQuanta.
Dealership activity feed
1 item needs review · 1 system needs reconnection
Every event tells a complete story in plain English: who initiated the action, what was checked, what was produced, and who owns the next step.
No raw error codes or confusing trace waterfalls. Events clearly identify the actor (Ariel, a teammate, or a schedule), the timestamp, and the clear business outcome.
Activity separates items into actionable categories: Needs review (waiting on staff approval), Waiting for login (reconnect required), and Completed (finished successfully).
Quickly filter activity by department, connected system, or teammate to see relevant events without wading through unrelated store notifications.
When a job stops—because a vendor session expired or an approval is required—your team sees it immediately with a guided fix.
If a source is unreachable or a job hits an unexpected condition, Ariel flags it with the context needed to understand what happened and how to resolve it.
Track scheduled and on-demand jobs in flight. Monitor progress and see estimated completion times so worklists stay on schedule.
Maintain an accurate historical record of all dealership actions, approvals, messages sent, and system access changes for complete peace of mind.
Meet the AI employee being built to carry more of the work, across the systems your dealership already relies on. Coming soon from VisQuanta.