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AITHANEX Customer Service · Engineering and integration

All your channels in one inbox, with bots, routing and API

Architecture, connected channels, data model, integration via REST API and webhooks, and technical limits. Technical datasheet of AITHANEX Customer Service.

Device management de componentes

AITHA Customer Service centralizes channels, bots, escalation and history, and integrates with CRM, ERP and ticketing via REST API and webhooks.

Operators reply from the web interface or mobile app over the same shared data model.

Component Function
Omnichannel tray Brings conversations from all connected channels into a common environment.
Contact manager Keeps each contact’s history and context between sessions.
Bot engine Runs automatic flows: FAQs, guides and initial data collection.
Scaletion system Transfers conversations from bot to operator by rules or manual intervention.
Agent web interface Read, reply, reassign, close and track conversations.
Agent mobile app Same capabilities as the web, accessible from a mobile device.
Organization system Statuses, tags, queues and owners for workload management.
Metrics module Logs entries, response times, escalations and recurring topics.
Routing Assignment by channel, queue, priority, schedule or responsible team.

Platform ingestion and API connectivity

Channel / Mechanism Use
Web (widget) Conversations started from the customer’s website.
WhatsApp Messaging from the enabled channel.
Instagram Direct messages from a connected channel.
Facebook Messenger Messages from a connected Facebook page.
Email Conversations from configured email accounts.
Other connectors Additional channels enabled based on project scope.
APIs REST Integration with external systems, webhooks and automations.
Webhooks (incoming/outgoing events) Reception or emission of events to third-party systems.

Active channels depend on project scope. Not all connectors are available in all deployments.

Data model

Entity Description
Conversation A message thread in a channel. It has status, channel, owner and history.
Contact Person or entity associated with one or more conversations.
Message Exchange unit within a conversation, with sender and timestamp.
Bot / Flow Automatic sequence of steps that handles the contact’s initial input.
Agent Human operator with a role, assigned queue and support permissions.
Queue Grouping of conversations by criterion: channel, team, priority or time.
Tag Classification applied to conversations for organization and metrics.
Scaletion Log of handoffs from bot to operator or between operators, with context.

Operational flow

Step Description
Input An inquiry arrives from a connected channel.
Identification The conversation is associated with a contact, channel and previous history.
Bot The automatic flow handles the entry, classifies or requests initial data.
Scaletion If appropriate, the conversation goes to an agent or team with logged context.
Human support The agent replies from the web tray or the mobile app.
Measurement Times, escalations, volume and recurrence are logged.
Close The conversation remains available for later follow-up.

Protocol integration and limits

What it can do:

  • Centralize digital channels in a common tray with per-contact history.
  • Run first-level bots for FAQs, guides and data collection.
  • Scalete conversations to human operators with full context.
  • Optionally integrate AITHANEX AI for classification, knowledge lookup and assisted replies.
  • Expose data and events via APIs or webhooks to external systems.
  • Customize visual identity, initial messages and channel presentation.

Limits:

  • Available channels depend on the connectors enabled in the deployment.
  • Integration with AITHANEX AI is not required to operate the basic conversational tray.
  • Integrations with external systems (CRM, ERP, others) require APIs and credentials defined per project.
  • Advanced routing by schedule or team requires prior deployment configuration.

Integration opcional con AITHANEX AI

When enabled, AITHANEX AI can contribute to the conversational flow:

Capacity Description
Assisted classification Automatic tagging of conversations by topic, intent or priority.
Documentation lookup Planned capability for replies backed by authorized knowledge bases; currently in development.
Reply suggestions The agent receives contextual suggestions before replying.
Identification of recurring topics Pattern analysis in conversation volume.
Conversation summaries Automatic synthesis of history to speed up escalations.

This integration is enabled by configuration and does not change how the base tray works.

Connected sensors

Area Scope
Authentication Agent and system access via credentials managed by the platform.
Permissions Role-based control: read, reply, reassign, configure and administer.
Segmentation Separation of queues, teams and data by customer or project.
History Each contact’s history stays associated with the conversation and is not deleted on close.
Traceability Log of agent actions: assignments, escalations, status changes and closures.
Communication Encryption based on deployment configuration and enabled channels.

Integration requirements

Area Requirement
Channels X.509 and API access for each digital channel to connect.
External systems APIs, credentials and exchange rules defined per project.
Users Roles, queues and permissions configured for each support team.
AITHANEX AI Optional per-project enablement and configuration for AI capabilities.

Products relacionados

Product Technical relationship
AITHANEX AI Optional integration for classification and assisted replies in bots.
Things AITHA Can provide operational device context to support conversations.
AITHA PlatformNEX Optional operations layer: permissions, users, audit and unified traceability when used.

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