Most AI talks. Aurora works.

Aurora books the appointment, updates the record, sends the follow-up and brings in a person when it matters. Watch one request go from first message to done.

See the console

Scripted demo built from typical flows. Names, times and prices are examples.

The console your team works in.

Every conversation, every action Aurora takes and every handoff to a person shows up in one place, for your whole team to see.

Today at a glance

Unread conversations, open handoffs and how much the agents handled, the moment you sign in.

One inbox for every channel

Web chat, email, text and calls land in one list, tagged by what each one needs.

Every action on the record

See the exact request Aurora sent to your system, and who approved it.

Take over in one click

Assign a conversation, switch from the agent to a person and back, with the full history in view.

Aurora console screens. Names and figures are illustrative.

An AI agent platform between your channels and your systems.

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

  • Phone
  • SMS
  • Web chat
  • Email
  • WhatsApp
  • Slack
AuroraOne memory · one set of rules · one record
  1. 1Understand

    • Who is asking and what they need
  2. 2Decide

    • Your rules and limits on every step
  3. 3Act

    • Works inside your systems, not beside them

Your systems

  • CRM
  • Calendars
  • Messaging
  • Phone system
  • Payments and invoicing
  • Knowledge

Every agent measured. Every week a little better.

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

Below targetBack on target

Improved

Replies are back above target. The change is in the log.

Illustrative example. Metric names and the change are examples.

Autonomy you set. Every step on record.

You decide how much Aurora does on its own. Every action is on record, and your data is never used to train shared models.

Rules you set

Choose what Aurora does on its own, what needs approval and what it never does.

Approvals in one tap

When a request crosses a limit, the right person gets it and decides.

Every step on record

Each action is logged with the rule that applied and who approved it.

A person can step in

Your team can take over any conversation, with the full history.

Agents that work like your team. In sales, in service and inside the company.

Your SDR.

Answers every lead, qualifies it and books the meeting with the right rep.

A client signing a sales contract with a fountain pen, a folded stack of dollar bills beside the papers

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?

Thu 11:00Fri 2:00

Thursday works.

Meeting bookedThu 11:00 · with Dana

Questions about the platform.

What is an AI agent platform?

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.

What happens when a customer switches channels?

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.

How does Aurora decide what it can do on its own?

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.

Can my team take over a conversation?

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.

What does the KPI Agent do?

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.

Is our data used to train AI models?

No. Your data is never used to train shared models. Access is set per role and every action is recorded in the audit log.

See Aurora run on your business.

Bring one real process. We describe it together, and you watch the system configure itself.

Book a demo

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