Today at a glance
Unread conversations, open handoffs and how much the agents handled, the moment you sign in.
Scripted demo built from typical flows. Names, times and prices are examples.
Every conversation, every action Aurora takes and every handoff to a person shows up in one place, for your whole team to see.
Aurora console screens. Names and figures are illustrative.
Every request, from a customer or from your own team, passes through the same three layers. One memory, one set of rules, one record.
Channels in
1Understand
2Decide
3Act
Your systems
The KPI Agent tracks every Aurora agent against the numbers your business runs on, spots what is slipping and improves how the agent works. Bigger changes wait for your approval.
Patented KPI Agent
4Improves
The number recovers, and the change is logged.
Follow-up repliesSales agent · this week
Improved
Replies are back above target. The change is in the log.
Illustrative example. Metric names and the change are examples.
You decide how much Aurora does on its own. Every action is on record, and your data is never used to train shared models.
Answers every lead, qualifies it and books the meeting with the right rep.


Web chatnow
Hi, can we see a demo this week?
Happy to. How big is the team that would use it?
About 25 people, mostly in sales.
Thursday 11:00 or Friday 2:00?
Thursday works.
An AI agent platform runs AI agents that answer requests and do work inside your business systems. Aurora is built as an AI operating system: every agent shares one memory of each customer and employee, one set of rules and one audit log, across sales, service and internal operations.
The conversation stays one conversation. A request that starts in web chat and continues by phone or email keeps its full history, so neither Aurora nor your team asks the customer to repeat themselves.
You set the rules. Each action is allowed, needs approval or is never allowed, with limits such as refund or discount amounts. When a request crosses a limit, Aurora asks the right person and continues once they decide.
Yes. Anyone with access can step into a conversation at any moment. Aurora hands off with the full history and picks up again when your team is done.
The KPI Agent measures every Aurora agent against the KPIs you set for its team, such as speed to lead or resolution rate. When a number slips, it finds the cause in the conversations behind it and improves how the agent works. Small fixes stay within your rules, bigger changes wait for approval from the right person, and every change is recorded.
No. Your data is never used to train shared models. Access is set per role and every action is recorded in the audit log.
Bring one real process. We describe it together, and you watch the system configure itself.
Leave your details and Aurora, our AI agent, will call you right away.
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