Answer and qualify
Handle the first conversation, collect useful context, and separate noise from real opportunities.
Product
An AI layer built to answer better, qualify earlier, and escalate with judgment.
Alviora helps businesses avoid missing the calls that matter: keep your number or launch a new line, automate first response, and keep full operational visibility.
Business outcomes
An AI layer built to answer better, qualify earlier, and escalate with judgment.
The point is not to replace your team. It is to give it coverage, speed, and context so every inbound call has a better chance of ending well.
Book and route
Move each call toward the right next step: booking, follow-up, or the right human team.
Escalate with context
When human intervention is needed, the team receives summary, intent, and key details before continuing.
Control console
One place to monitor calls, agents, numbers, and outcomes.
The customer-facing experience should feel simple. The operating layer should feel controlled. That is why the console is built to show state, movement, and context without getting messy.
Handled conversations
148
Inbound calls in the period with operational traceability.
Active lines
3
Numbers in production with real coverage.
Human escalations
12%
Only the conversations that truly need a person.
Captured opportunities
27
Useful conversations logged for commercial follow-up.
Recent activity
See what happened, in what order, and with what outcome.
The activity layer should let you understand the sequence without replaying the whole call. That way sales or operations can step in with context immediately.
Recent activity
01
After-hours coverage
The line covered the evening window and logged the priority enquiries.
02
Qualification agent
The main flow is filtering commercial interest and asking for the right minimum context.
03
Internal follow-up
Summaries and handoffs remain available inside the console.
Operational control
When it is time to touch the system, each block has its place.
Numbers, agent logic, and commercial progress live in separate blocks so control stays readable and actionable instead of turning into a blurred list.
Operational control
Use cases
Easy to understand. Easy to map to real operations.
You do not need to imagine big promises. Just look at where you can least afford to miss an inbound call.
AI receptionist
First-line coverage to capture, orient, and escalate with context.
Lead capture
Filter intent and collect core details before the team steps in.
Booking or triage
Guide the conversation toward booking, routing, or the right next action.
After-hours coverage
Keep the line active when the team is offline.
Overflow handling
Absorb call peaks without degrading the caller experience.
Designed to operate
- Routing and human handoff when the conversation calls for it.
- Summaries and context so opportunities can be followed without replaying the full call.
- Visibility into numbers, agents, activation, and billing inside the same console.
- A base that is ready to absorb more integrations and processes without rebuilding the core.
Go live
Three simple steps to bring the line into production.
Connect the line, define the response logic, and start running a real flow without unnecessary friction.
Connect your number or launch a new line
Start from the channel you already have or roll out a new line designed to run with AI.
Configure agent, logic, and handoff
Define the first response, qualification rules, and when to escalate to a human.
Start handling real calls
The console lets you track lines, activation, outcomes, and follow-up from day one.
See how this AI layer would handle the calls you cannot afford to miss.
If you want, we can review it around your current number, operating hours, and routing criteria before activating anything.