Real-World Scenarios

These examples demonstrate how AgentWeave solves real-world problems in specific industries. Each example includes production-grade patterns, compliance considerations, and security best practices.

Industry Examples

Financial Services

Scenario: Trading system with compliance and audit requirements

A high-frequency trading platform where multiple agents process trades, perform risk checks, and maintain audit trails for regulatory compliance. Demonstrates:

  • Multi-agent trading workflow
  • Compliance as code (OPA policies)
  • Immutable audit logs
  • Real-time risk assessment
  • Regulatory reporting

Key Technologies:

  • AgentWeave for secure agent communication
  • OPA for compliance policies
  • Distributed tracing for audit
  • Event sourcing for trade history

Compliance: SOC 2, SEC regulations, audit requirements


Healthcare

Scenario: Patient data processing with HIPAA compliance

A healthcare analytics platform where agents process patient data across organizational boundaries while maintaining HIPAA compliance. Demonstrates:

  • Data minimization
  • Consent-based access control
  • PHI (Protected Health Information) handling
  • Cross-organization data sharing (federated)
  • Audit logging for HIPAA compliance
  • De-identification workflows

Key Technologies:

  • SPIFFE federation for hospital networks
  • Fine-grained OPA policies for PHI access
  • Encryption at rest and in transit
  • Comprehensive audit trails

Compliance: HIPAA, HITECH, state privacy laws


IoT/Edge Computing

Scenario: Edge devices communicating securely with cloud

A smart building system where IoT devices (sensors, controllers) run lightweight agents that communicate with cloud agents for analytics and control. Demonstrates:

  • Constrained resource environments
  • Intermittent connectivity handling
  • Edge-to-cloud secure communication
  • Device attestation
  • OTA updates
  • Offline operation with sync

Key Technologies:

  • Lightweight SPIFFE agent for edge
  • mTLS over constrained networks
  • Store-and-forward messaging
  • Certificate rotation with limited resources

Use Cases: Smart buildings, industrial IoT, fleet management


Common Patterns Across Examples

Security

All examples demonstrate:

  • Zero-trust architecture: Every communication verified
  • Least privilege access: OPA policies grant minimum necessary permissions
  • Audit everything: Complete audit trail of all operations
  • Encryption everywhere: mTLS for transport, encryption at rest

Compliance

Each example shows how to:

  • Policy as code: Compliance rules in Rego
  • Immutable audit logs: Cannot be tampered with
  • Access control: Fine-grained, attribute-based
  • Data governance: Who accessed what, when, and why

Production Readiness

All examples include:

  • Error handling: Graceful degradation, retries
  • Monitoring: Metrics, traces, logs
  • Testing: Unit, integration, policy tests
  • Documentation: Runbooks, incident response

How to Use These Examples

  1. Understand the scenario: Read the business problem and requirements
  2. Review the architecture: See how agents are structured
  3. Examine the policies: Study OPA policies for compliance
  4. Run the example: Follow setup instructions
  5. Adapt for your use case: Modify for your specific needs

Prerequisites

All examples require:

  • AgentWeave SDK: pip install agentweave
  • SPIRE: For identity
  • OPA: For authorization
  • Docker: For running examples

Some examples have additional requirements (databases, message queues, etc.) documented in each example.

Getting Help

  • Example-specific questions: Each example has a GitHub Discussions thread
  • General AgentWeave questions: Main documentation
  • Security concerns: Security guide
  • Compliance questions: Consult with your compliance team

Next: Start with an example that matches your industry, or review all three to see different patterns.