Technical architecture
Designed for multilingual field work, operational resilience, accountable automation and strict separation of sensitive child data.
System overview
Experience layer
Child records, alerts, interventions, resources and aggregate dashboards use consistent patterns.
English, Spanish, Basque and Arabic are first-class interface directions, not afterthoughts.
Layouts adapt to laptops and mobile devices used by distributed response teams.
Application layer
OpenAPI documentation keeps integration boundaries visible. Shared authentication, localization, logging and realtime capabilities reduce duplicated security logic.
Data architecture
Protected child context, interventions, alerts and resources use relational integrity and localized reference data.
Short-lived coordination state and realtime infrastructure stay separate from permanent case records.
Operational records are archived rather than silently removed, preserving accountability.
Dashboards expose planning signals without publishing identifiable case details.
Intelligence layer
Dedicated service boundary for retrieval and model-assisted workflows.
Explicit steps make assisted reasoning easier to constrain and review.
Vector collections are isolated by application and purpose.
Providers can change without binding the domain to one model.
No model may infer identity, diagnosis, legal status or protection outcome from incomplete information.
Human-in-the-loop pattern
Automation and integration
Governed reminders, escalations and resource coordination across approved channels.
Schools, NGOs and local authorities integrate through explicit, versioned boundaries.
Teams see changed operational state without using informal messages as the system of record.
Security and privacy
Roles limit case context to professional need.
Material changes remain attributable.
Collect only what supports legitimate care.
Retention, access and lawful processing are designed into operations.
Resilient deployment
Health checks, environment-specific configuration, isolated application data and replaceable service boundaries support controlled deployment and recovery.
Architecture principles
Children, interventions, alerts and resources have explicit responsibilities.
Interfaces between components are documented and testable.
AI capabilities can grow without weakening deterministic operations.
Language context flows through interface, APIs and reference data.
AI or workflow outages do not erase the core operational record.
Protection decisions always remain with qualified people.
Carebide architecture
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