Overview
HANA’s architecture is designed to provide enterprise-grade security, scalability, and reliability for voice-based clinical AI agents. The architecture is built around a service-oriented model that supports multi-tenancy, cross-team collaboration, and comprehensive lifecycle management.Architecture Components
1. Cross-team Workflow
Supports collaboration across engineering teams with clear coordination and structure:- Standardized Interfaces: Shared APIs and messaging protocols streamline communication between conversation engine, reasoning engine, EHR gateway, and telephony services
- Managed Dependencies: Teams align on service contracts and reuse common infrastructure through defined collaboration patterns
2. Tenant Management
Maintains performance, security, and organizational clarity through isolation and governance: Tenant Onboarding:- Automated provisioning of isolated environments per healthcare organization
- EHR credential management and connection validation
- Protocol configuration and clinical workflow setup
- Voice persona and language configuration
- Data isolation: Patient data never crosses tenant boundaries
- Configuration isolation: Independent protocols, escalation rules, and voice settings
- Network isolation: Tenant-specific encryption keys and access controls
- Audit isolation: Complete audit trail per tenant for compliance
3. Engineering Lifecycle
Covers the full pipeline from development to production monitoring:- CI/CD Pipeline: Automated build, test, and deployment for all services
- Staging Environments: Full production replica for pre-deployment validation
- Blue-Green Deployments: Zero-downtime deployments with instant rollback capability
- Canary Releases: Gradual traffic shifting for new model versions
4. Reliability
Optimized for productivity, reliability, and resilience:- Auto-scaling: Horizontal scaling based on concurrent call volume
- Circuit Breakers: Automatic failure detection and isolation
- Health Checks: Continuous health monitoring with automatic remediation
- Multi-Zone Deployment: Services deployed across multiple availability zones
Infrastructure Details
Cloud Infrastructure
HANA runs on cloud infrastructure with healthcare-grade security and compliance: Production Environment:- Primary cloud: GCP/AWS with healthcare BAA
- Kubernetes orchestration (GKE/EKS) for container management
- GPU-accelerated inference nodes for reasoning engine
- CPU-optimized nodes for real-time conversation engine (latency-critical)
- Isolated non-production environment for testing and staging
- Synthetic patient data for development — no real PHI in non-prod
- API Gateway with rate limiting and authentication
- Internal service mesh with mutual TLS
- Load balancing across service replicas
Service Fabric Architecture
Service Fabric Overview
HANA’s Service Fabric provides the foundational platform for all agent services and infrastructure components. It manages service discovery, communication, scaling, and health monitoring. Core Components:| Component | Technology | Purpose |
|---|---|---|
| Container Orchestration | Kubernetes | Service deployment, scaling, health management |
| Service Mesh | Istio/Linkerd | Service-to-service communication, mTLS, observability |
| API Gateway | Kong/Envoy | External traffic management, rate limiting, auth |
| Message Queue | Redis/RabbitMQ | Async communication between services |
| Database | PostgreSQL | Conversation state, patient context, configuration |
| Cache | Redis | Session state, EHR data cache, conversation plans |
| Object Storage | Cloud Storage | Conversation recordings, transcripts, model artifacts |
- Synchronous: gRPC for latency-critical inter-service calls (conversation engine ↔ voice synthesis)
- Asynchronous: Message queue for non-blocking operations (post-call analysis, EHR write-back)
- Streaming: WebSocket for real-time voice data transport
Security and Compliance
Network Security
- Zero Trust Architecture: No implicit trust, continuous verification for every request
- Network Segmentation: Micro-segmentation with software-defined perimeters
- Encryption in Transit: TLS 1.3 for all communications
- Encryption at Rest: AES-256 encryption for all stored data
Access Management
- Identity Provider Integration: SAML/OIDC integration with enterprise IdP
- Multi-Factor Authentication: Required for all administrative access
- Role-Based Access Control: Granular permissions based on principle of least privilege
- Regular Access Reviews: Automated access certification processes
Compliance
- SOC 2 Type II: Annual compliance audits covering security, availability, and confidentiality
- HIPAA Compliance: Full compliance with US healthcare data privacy regulations with executed BAA
- GDPR Compliance: European data protection regulations support
- Audit Logging: Comprehensive audit trails for all system activities
Observability
To ensure consistent and safe performance across our architecture we implement rigorous observability standards.Metrics & Monitoring
- Infrastructure Metrics: CPU, memory, disk, network utilization across all services
- Application Metrics: Conversation completion rates, latency percentiles, error rates, quality scores
- Real-time Dashboards: Grafana-based visualization for operations and clinical teams
- Alerting: PagerDuty integration for critical alerts with defined escalation procedures
Logging
- Centralized Logging: ELK stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis
- Structured Logging: JSON-formatted logs with consistent schema across all services
- Log Retention: Configurable retention policies per environment and data classification
- Search & Analytics: Full-text search and log analytics for troubleshooting and compliance
Tracing
- Distributed Tracing: End-to-end request tracking across services for every conversation
- Performance Analysis: Latency analysis and bottleneck identification in the conversation pipeline
- Error Tracking: Automatic error detection and alerting with full conversation context
- Service Dependency Mapping: Visual service topology and dependency graphs