Production • Compliant • Scalable

Use Cases

Agent OS in Production

From HIPAA-compliant healthcare systems to SEC-regulated financial platforms, Agent OS provides deterministic governance for mission-critical AI deployments.

Production Impact

Real numbers from real deployments.

99.97%

Policy Compliance

Zero regulatory violations across all deployments

50M+

Requests Governed

Per month across production systems

<2ms

Policy Overhead

Negligible impact on response times

100%

Audit Coverage

Complete traceability for every decision

Industry Solutions

Pre-built policy templates and compliance guardrails for regulated industries.

🏥

Healthcare

HIPAA Compliance

Deterministic PHI protection with automatic redaction, access controls, and complete audit trails. Built for healthcare organizations navigating strict regulatory requirements.

  • ✓ PHI detection & redaction
  • ✓ Role-based access controls
  • ✓ Breach notification automation
  • ✓ BAA-ready deployment
Explore Healthcare →
🏦

Finance

Risk Management

Real-time risk assessment, transaction limits, and regulatory compliance for financial AI agents. SEC, SOX, and PCI-DSS ready out of the box.

  • ✓ Transaction risk scoring
  • ✓ Real-time limit enforcement
  • ✓ Anomaly detection & alerts
  • ✓ Regulatory reporting hooks
Explore Finance →
🎓

Education

COPPA & FERPA Compliance

Child-safe AI interactions with age-appropriate content filtering, parental consent workflows, and student data protection for EdTech platforms.

  • ✓ Age-appropriate filtering
  • ✓ Parental consent management
  • ✓ Student data isolation
  • ✓ Academic integrity checks
Explore Education →

Additional Use Cases

Expanding governance to emerging domains.

🏢

Enterprise Multi-Agent

Orchestration at Scale

Coordinate hundreds of AI agents across departments with trust hierarchies, resource quotas, and centralized policy management. Perfect for large organizations deploying AI at scale. 

kernel = KernelSpace(
    policy="enterprise-strict",
    trust_hierarchy=org_chart,
    resource_quotas=dept_limits
)

# 500+ agents governed by one kernel
🌱

Carbon Credit Auditing

Environmental Compliance

Immutable verification of carbon offset claims with cross-model consensus. Prevent greenwashing with cryptographic audit trails and third-party validation requirements. 

@kernel.register
async def verify_offset(claim: CarbonClaim):
    consensus = await cmvk.verify(
        claim.data,
        threshold=0.95,  # High confidence
        models=["auditor-1", "auditor-2"]
    )
⚡

Grid Balancing

Critical Infrastructure

Autonomous energy grid management with strict safety bounds and human-in-the-loop requirements for high-impact decisions. Built for utilities managing renewable integration. 

policy:
  actions:
    load_shed:
      requires: human_approval
      max_impact: 10MW
    price_adjust:
      bounds: [-15%, +15%]
      cooldown: 5m

Custom Policy Templates

Start with battle-tested templates, customize for your needs.

📋

Template Library

# List available templates
$ agent-os templates list

INDUSTRY TEMPLATES:
├── hipaa-healthcare    # PHI protection, audit logs
├── pci-dss-finance     # Payment card compliance
├── coppa-education     # Child data protection
├── sox-enterprise      # Financial reporting
├── gdpr-privacy        # EU data protection
└── iso27001-security   # Information security

DOMAIN TEMPLATES:
├── multi-agent-trust   # Agent coordination
├── high-stakes         # Human-in-the-loop
├── rate-limited        # Resource governance
└── audit-heavy         # Complete traceability
⚙️

Customize & Deploy

# Start from a template
$ agent-os init --template hipaa-healthcare

# Customize for your organization
$ cat agent-os.yaml
extends: hipaa-healthcare
organization: acme-health

overrides:
  phi_retention: 7_years
  breach_notify: 
    - security@acme.health
    - compliance@acme.health

additions:
  actions:
    schedule_appointment:
      requires: patient_consent
      log_level: detailed

Templates encode regulatory requirements as machine-enforceable policies. Extend them with organization-specific rules while maintaining compliance guarantees.

Deployment Patterns

Flexible architecture for any scale.

1

Single-Agent Governance

Wrap individual agents with policy enforcement. Ideal for MVP deployments or adding governance to existing systems. 

from agent_os import KernelSpace

kernel = KernelSpace(policy="hipaa-healthcare")

@kernel.register
async def medical_assistant(query: str):
    # Your existing agent logic
    return await your_llm_call(query)
2

Multi-Agent Orchestration

Coordinate multiple agents with trust protocols and message authentication. Built for complex workflows with agent specialization. 

from agent_os import KernelSpace
from agent_os.iatp import Identity
from agent_os.amb import MessageBus

kernel = KernelSpace(policy="enterprise-multi-agent")
bus = MessageBus(backend="redis")

# Each agent has cryptographic identity
agents = [Identity.create(f"agent-{i}") for i in range(10)]

# Messages are signed and verified automatically
await bus.publish("tasks", task, sender=agents[0])
3

Federated Governance

Distributed policy enforcement across regions or organizations. Supports data sovereignty and jurisdiction-specific rules. 

kernels:
  us-east:
    policy: hipaa-healthcare
    data_residency: us-east-1
  eu-west:
    policy: gdpr-privacy
    data_residency: eu-west-1
    
federation:
  sync: eventual
  conflict_resolution: stricter_wins

Ready to Deploy?

Get production-ready governance in under 10 minutes. 

# Install Agent OS
pip install agent-os-kernel

# Initialize with a template
agent-os init --template hipaa-healthcare

# Run your first governed agent
python examples/healthcare_agent.py
📚 Quickstart Guide 📋 Policy Reference ⭐ Star on GitHub