Understand
Voice and text analysis, intent recognition, context from the knowledge base.
PLATFORMS · REAL-TIME AI AGENT
Pilot
An AI agent,
not just a chatbot.
ARIA is an orchestration platform, currently in pilot, that acts as an autonomous agent: it understands the request, checks your systems, carries out the action and logs every decision, across all channels, in real time.
THE CHALLENGE
Contact centres can no longer keep up with demands for responsiveness and personalisation.
Growing interaction volumes, repetitive requests, manual campaigns, network incidents that take days to resolve: operators and large organisations need an agent that can act, not just respond.
ARIA understands voice and text, follows your procedures, queries your IT systems and executes actions: call, SMS, CRM update, bonus credit, ticket creation.
THE VISION
Understand, decide,
act, learn.
Decide
Orchestration of actions based on context, history and business rules.
Act
Calls, SMS, API requests, CRM updates, bonus allocation.
Learn
Continuous improvement from feedback, procedures and operational data.
ARCHITECTURE
An engine connected
to your IT systems.
01Channels
Voice (SIP)SMSREST APIWebSocketWebEmail
02ARIA engine
OrchestratorLLMVoice: STT / TTSKnowledge base (RAG)
03Connectors
MCP serverEnterprise service bus (ESB)Business APIs
04Your IT systems
BSS / billingCRMOSS / networkTelephony
USE CASES
One foundation,
many uses.
Intelligent call centre
Inbound requests handled 24/7, with hand-off to an agent when needed and a summary sent to the CRM.
Personalised outbound campaigns
Database segmentation, script tailored to each segment, calls and SMS in parallel, real-time tracking.
Collective incident management
Affected customers identified, notified, compensated automatically, then followed up.
Knowledge base
Procedures and technical documentation searchable in natural language, with sources cited.
Customer classification
Value, churn risk, offer eligibility: the results feed into campaigns.
Field technician assistance
A hands-free voice assistant, connected to technical documentation, during the intervention.
DESIGN OBJECTIVES
What ARIA
is designed to achieve.
Expected benefits, to be measured for each use case during the pilot.
24/7Availability, including weekends and public holidays
< 30 minTo handle a collective incident, versus several days manually
100 %Interactions logged and archived
10 000+Concurrent interactions, through horizontal scaling
SECURITY AND GOVERNANCE
AI
under control.
Protected data
Anonymisation and pseudonymisation, encryption in transit and at rest, recorded consent.
Controlled deployment
On-premises or in a private cloud, containerised. No data passes through unauthorised third-party servers.
Access control
Roles, single sign-on, logging of every action.
Guardrails
Configurable limits on autonomous action, human approval for critical operations, every decision auditable.
GET STARTED
From pilot
to production.
Scoping workshop
One to two days to select the use cases, integrations and KPIs.
Targeted pilot
One use case under real-world conditions, for example the call centre.
Measurement and iteration
Resolution rate, satisfaction, costs, adjustments.
Phased roll-out
Use case by use case, with skills transfer.
Models
- Claude
- GPT
- Mistral
- Llama
Voice
- Whisper
- Coqui TTS
- Asterisk
- FreeSWITCH
Infrastructure
- FastAPI
- PostgreSQL
- RabbitMQ
- Kubernetes
ARIA
Your AI agent,
tested on your real case.
Let’s start with a scoping workshop to select the first use case and its KPIs.
Arrange a workshop