Public spaces · Transport · Education · Retail and services
Guest Wi-Fi network system
Managed guest networks with authorisation, monitoring and predictive support.
Value proposition
The network stays manageable as load grows: authorisation meets requirements and issues are found before users complain.
Challenge
Guest networks are fragmented, authorisation is inconsistent and coverage quality is judged only by complaints.
Who it is for
- Public space operators
- Transport hubs
- Educational institutions
- Corporate IT services
Digital core
- Guest authorisation portal
- Centralised access point management
- Connection quality monitoring
- Access and filtering policies
- Usage statistics
- User support desk
Functional modules
- Authorisation and identification
- Network configuration management
- Monitoring and alerts
- Load reporting
- Coverage map
- User requests
Architecture
- 01
Channels
- Authorisation portal
- Administrator panel
- Mobile access
- On-duty shift notifications
- 02
Business logic
- Access policies
- User profiles
- Filtering rules
- Support regulations
- 03
AI layer
- Network AI Agent
- Anomaly detection
- Load forecasting
- Issue diagnostics
- 04
Infrastructure
- Controllers and access points
- Equipment telemetry
- Channel redundancy
- Infrastructure monitoring
TEQ Intelligence Layer
AI Intelligence Layer
- Network anomaly detectionAI-ready
- Load forecastingAI-ready
- Issue diagnosticsAI-ready
- Coverage optimisationDevelopment concept
- Support automationAI module available
- Network AI AgentAI-ready
The AI modules are built and connect to the solutions. They are not yet running in production at client sites — they are available for a pilot or a deployment project.
Pluggable agents
Network AI Agent
AI-readyTracks network health, forecasts load and assists with diagnostics and routine support.
- Anomaly detection
- Load forecasting
- Diagnostics
- Ticket automation
Configuration changes are applied by an engineer. The agent prepares the action plan.
IT Support Agent
AI-readyHandles routine user requests, drafts solutions from the knowledge base and routes incidents.
- Request classification
- Knowledge base search
- Solution draft
- Service Desk routing
Incident closure is confirmed by a support engineer.
How it works
A typical scenario: from event to confirmed result.
- 11Access point telemetry flows into the monitoring system.
- 22The agent detects a deviation: error growth, overload or channel degradation.
- 33A diagnostic card with the probable cause is generated.
- 44An engineer reviews the card and applies the configuration change.
- 55The outcome is recorded and the load forecast is updated.
Integrations
- Identity systems
- Service Desk
- Infrastructure monitoring
- Reporting and analytics platforms
Security
- Guest segment isolation
- Filtering and rate-limit policies
- Session logging per requirements
- Administrator access control
The human role
AI detects anomalies and prepares an action plan. Configuration changes are applied by an engineer.
In government, financial and security-related processes the final decision is confirmed by an authorised employee. AI analyses the data and prepares a recommendation.
Discuss deploying this solution
Describe the target perimeter — we will propose a survey, a pilot or a full project.
