AI-native contact center

Customer calls.ARIA thinks.Humans join onlywhen needed.

Live call sessionARIA reasoning in real time
00:00
00:00Call received

"I need an update on my recent request"

00:01Intent detected

Status inquiry → Account lookup flow

00:02Knowledge retrieved

6 articles found · support-handbook-index

00:03Account verified

Account active · case #REQ-4821 located

00:04Confidence calculated

92%: above escalation threshold

00:05Response generated

Request resolved · confirmation sent in minutes

Autonomous
Confidence92%

Continue autonomous resolution

Escalate
Confidence48%
Account ambiguity detected
Watch one call

See exactly how ARIA thinks

A real customer call, replayed. From the first hello to the human escalation, nothing is hidden.

  1. Call
  2. Intent
  3. Knowledge
  4. Reasoning
  5. Confidence
  6. Escalation
  7. Resolution
Live call · #RC-4821ARIA realtime voice

Connecting…

Inbound call connected
Knowledge retrieval

Awaiting the customer’s question…

AI confidence0%

Below 55% threshold: escalating to a human

Auto-playing · loops continuously
More than a voice bot

The intelligence layer

Most voice bots go customer, bot, reply. ARIA puts a full reasoning loop in the middle: understand, retrieve, score confidence, then decide.

CustomerCalls in
ARIA reasoning loopruns on every call, in realtime
IntentWhat the caller actually needs
Knowledge retrievalCited from your knowledge base
Multi-agent reasoningSpecialized agents collaborate
Confidence scoringARIA evaluates its own certainty
ResolveConfident answer
EscalateHuman, with context
Explainable

every escalation shows its confidence score and reason

Cited

answers come from your knowledge base, not generated guesses

Auditable

every decision logged, start to finish

Human + AI

ARIA decides when to bring in a human

The handoff is the hard part. ARIA packages the full conversation so the agent is ready before they say hello.

ARIA · context packet
  • Caller intent: Azure model support & config
  • Knowledge checked: 3 docs, 5 results
  • Sentiment: neutral, mild frustration
  • Reason: details not in knowledge base

"User needs the exact supported model list and Azure config. Not in the knowledge base."

Maya · platform teamjoined the live call
on call

"Hi, this is Maya. I have your full conversation. Let's get you those model details."

No repeating yourselfFull transcriptPicks up mid-conversation
Architecture

Built on Azure + OpenAI

Production-grade components composed into one realtime system. Traceable from the first ring to the final summary.

Experience
Next.jsOperator & customer UI
Voice
Azure Communication ServicesCarrier-grade calls & automation
Intelligence
OpenAI Realtime APISpeech-to-speech reasoning
Azure AI SearchVector + semantic retrieval
Data & Ops
Cosmos DBSessions · transcripts · analytics
Azure MonitorEnd-to-end tracing

The outcome

Routine calls, resolved in seconds.
Escalations, when earned.

ARIA handles routine customer service calls. The ones that genuinely need a person get escalated with full context. Customers don't wait. Agents don't start from scratch.

24/7always-on customer voice support
Secondsfrom question to answer
Full contexton every human handoff
Interactive demo

Insurance telephone services

A demo contact center for a fictional insurer. Pick a service and talk to ARIA in realtime: ask about a claim, a policy, or a premium, push for specifics, and watch it decide when to bring in a human.

Sample experience only, no real accounts, policies, or personal data are involved.

ARIARealtime AI Contact Center

Realtime Voice AI · Human-in-the-Loop · Azure + OpenAI

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