aitbc/docs/scenarios/40_enterprise_ai_agent.md

Enterprise AI Agent for hermes Agents

Level: Advanced
Prerequisites: All intermediate scenarios recommended
Estimated Time: 60 minutes
Last Updated: 2026-05-02
Version: 1.0

🧭 Navigation Path:

🏠 Documentation Home → 🎭 Agent Scenarios → You are here

breadcrumb: Home → Scenarios → Enterprise AI Agent

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🎯 See Also:

• 📖 Previous Scenario: 39 Federated Learning Coordinator
• 🤖 Agent SDK: Agent SDK Documentation
• 🏢 Enterprise: Enterprise Integration

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📚 Scenario Overview

This scenario demonstrates how hermes agents operate as enterprise-grade AI service providers, managing multi-tenant operations, enterprise security compliance, SLA monitoring, resource provisioning, and automated billing in a production environment.

Use Case

An hermes agent acts as an enterprise AI agent to:

• Provide multi-tenant AI services
• Enforce enterprise security policies
• Monitor and enforce SLAs
• Automate resource provisioning
• Handle enterprise billing
• Maintain compliance standards

What You'll Learn

• Build enterprise-grade AI agents
• Manage multi-tenant operations
• Enforce security compliance
• Monitor SLAs
• Automate enterprise workflows
• Handle enterprise billing

Features Combined

• Security (Scenario 19)
• Governance (Scenario 17)
• Monitoring (Scenario 15)
• Wallet Management (Scenario 01)
• GPU Marketplace (Scenario 09)
• Database Hosting (Scenario 12)

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📋 Prerequisites

Knowledge Required

• Completed all intermediate scenarios (recommended)
• Understanding of enterprise systems
• Security and compliance concepts

Tools Required

• AITBC CLI installed
• Python 3.13+
• Enterprise wallet for operations
• Access to all AITBC services

Setup Required

• All services running
• Security configured
• Enterprise policies defined

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🔧 Step-by-Step Workflow

Step 1: Initialize Enterprise Agent

Set up enterprise AI agent.

aitbc enterprise init \
  --wallet my-enterprise-wallet \
  --tenant-count 50 \
  --sla-target 99.9

Output:

Enterprise agent initialized
Agent ID: enterprise_abc123...
Tenants: 50
SLA Target: 99.9%
Status: active

Step 2: Configure Enterprise Policies

Set up security and governance policies.

aitbc enterprise configure \
  --agent-id enterprise_abc123... \
  --security-level enterprise \
  --compliance SOC2

Step 3: Provision Resources

Allocate resources for tenants.

aitbc enterprise provision \
  --agent-id enterprise_abc123... \
  --gpu-capacity 100

Step 4: Monitor SLA Compliance

Track service level agreement compliance.

aitbc enterprise sla-monitor --agent-id enterprise_abc123...

Step 5: Generate Enterprise Reports

Create enterprise compliance and billing reports.

aitbc enterprise report --agent-id enterprise_abc123...

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💻 Code Examples Using Agent SDK

Example 1: Initialize Enterprise Agent

from aitbc_agent_sdk import Agent, AgentConfig

config = AgentConfig(
    name="enterprise-agent",
    blockchain_network="mainnet",
    wallet_name="enterprise-wallet"
)

agent = Agent(config)
agent.start()

# Initialize enterprise agent
enterprise = agent.initialize_enterprise_agent(
    tenant_count=50,
    sla_target=99.9
)

print(f"Enterprise agent: {enterprise['agent_id']}")

# Configure policies
agent.configure_enterprise_policies(
    agent_id=enterprise['agent_id'],
    security_level="enterprise",
    compliance="SOC2"
)

Example 2: Enterprise AI Agent

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

class EnterpriseAIAgent:
    def __init__(self, config):
        self.agent = Agent(config)
        self.agent_id = None
        self.tenants = {}
    
    async def start(self):
        await self.agent.start()
        await self.initialize_enterprise()
        await self.run_enterprise_operations()
    
    async def initialize_enterprise(self):
        """Initialize enterprise AI agent"""
        enterprise = await self.agent.initialize_enterprise_agent(
            tenant_count=50,
            sla_target=99.9
        )
        self.agent_id = enterprise['agent_id']
        
        # Configure policies
        await self.agent.configure_enterprise_policies(
            agent_id=self.agent_id,
            security_level="enterprise",
            compliance="SOC2"
        )
        
        # Provision resources
        await self.provision_resources()
        
        print(f"Enterprise agent initialized: {self.agent_id}")
    
    async def provision_resources(self):
        """Provision resources for enterprise operations"""
        # Get resource requirements
        requirements = await self.agent.calculate_resource_requirements(
            tenant_count=50
        )
        
        # Provision GPU resources
        gpu_capacity = await self.agent.provision_gpu_resources(
            capacity=requirements['gpu']
        )
        
        # Provision database resources
        db_capacity = await self.agent.provision_database_resources(
            capacity=requirements['database']
        )
        
        # Provision storage resources
        storage_capacity = await self.agent.provision_storage_resources(
            capacity=requirements['storage']
        )
        
        print(f"Provisioned resources:")
        print(f"  GPU: {gpu_capacity}")
        print(f"  Database: {db_capacity}")
        print(f"  Storage: {storage_capacity}")
    
    async def run_enterprise_operations(self):
        """Run enterprise operations"""
        while True:
            # Manage tenant operations
            await self.manage_tenants()
            
            # Monitor SLA compliance
            await self.monitor_sla()
            
            # Enforce security policies
            await self.enforce_security()
            
            # Handle billing
            await self.process_billing()
            
            # Generate reports
            await self.generate_reports()
            
            await asyncio.sleep(300)  # Check every 5 minutes
    
    async def manage_tenants(self):
        """Manage multi-tenant operations"""
        # Get all tenants
        tenants = await self.agent.get_all_tenants(self.agent_id)
        
        for tenant in tenants:
            # Check tenant resource usage
            usage = await self.agent.get_tenant_usage(tenant['tenant_id'])
            
            # If usage exceeds quota, throttle
            if usage['gpu'] > tenant['gpu_quota']:
                await self.agent.throttle_tenant(
                    tenant_id=tenant['tenant_id'],
                    resource='gpu'
                )
            
            # If usage is low, offer scale-down
            elif usage['gpu'] < tenant['gpu_quota'] * 0.3:
                await self.agent.notify_scale_down_opportunity(
                    tenant_id=tenant['tenant_id']
                )
            
            # Auto-scale based on demand
            await self.auto_scale_tenant(tenant, usage)
    
    async def auto_scale_tenant(self, tenant, usage):
        """Auto-scale tenant resources based on demand"""
        # Get demand trend
        trend = await self.agent.get_demand_trend(tenant['tenant_id'])
        
        if trend == 'increasing':
            # Scale up resources
            additional = 10
            await self.agent.scale_tenant_resources(
                tenant_id=tenant['tenant_id'],
                gpu_additional=additional
            )
            print(f"Scaled up tenant {tenant['tenant_id']} by {additional} GPU")
        
        elif trend == 'decreasing':
            # Scale down resources
            reduction = 5
            await self.agent.scale_tenant_resources(
                tenant_id=tenant['tenant_id'],
                gpu_reduction=reduction
            )
            print(f"Scaled down tenant {tenant['tenant_id']} by {reduction} GPU")
    
    async def monitor_sla(self):
        """Monitor SLA compliance"""
        # Get SLA metrics
        metrics = await self.agent.get_sla_metrics(self.agent_id)
        
        print(f"\nSLA Metrics:")
        print(f"  Availability: {metrics['availability']}%")
        print(f"  Response Time: {metrics['response_time']}ms")
        print(f"  Error Rate: {metrics['error_rate']}%")
        
        # Check SLA compliance
        if metrics['availability'] < 99.9:
            print("WARNING: SLA availability below target")
            await self.handle_sla_violation('availability', metrics['availability'])
        
        if metrics['response_time'] > 1000:
            print("WARNING: SLA response time exceeds target")
            await self.handle_sla_violation('response_time', metrics['response_time'])
        
        if metrics['error_rate'] > 0.1:
            print("WARNING: SLA error rate exceeds target")
            await self.handle_sla_violation('error_rate', metrics['error_rate'])
    
    async def handle_sla_violation(self, metric, value):
        """Handle SLA violation"""
        # Log violation
        await self.agent.log_sla_violation(
            agent_id=self.agent_id,
            metric=metric,
            value=value
        )
        
        # Take corrective action
        if metric == 'availability':
            # Scale up resources
            await self.agent.scale_resources(scale_up=True)
        elif metric == 'response_time':
            # Optimize routing
            await self.agent.optimize_routing()
        elif metric == 'error_rate':
            # Investigate errors
            await self.agent.investigate_errors()
    
    async def enforce_security(self):
        """Enforce enterprise security policies"""
        # Get all security events
        events = await self.agent.get_security_events(self.agent_id)
        
        for event in events:
            # Handle based on severity
            if event['severity'] == 'critical':
                await self.handle_critical_security_event(event)
            elif event['severity'] == 'high':
                await self.handle_high_security_event(event)
    
    async def handle_critical_security_event(self, event):
        """Handle critical security event"""
        # Immediate response
        await self.agent.isolate_affected_systems(
            event_id=event['event_id']
        )
        
        # Notify security team
        await self.agent.notify_security_team(
            event_id=event['event_id'],
            priority='critical'
        )
        
        # Log for compliance
        await self.agent.log_security_event(
            event_id=event['event_id'],
            action='isolated'
        )
    
    async def handle_high_security_event(self, event):
        """Handle high-severity security event"""
        # Investigate
        investigation = await self.agent.investigate_security_event(
            event_id=event['event_id']
        )
        
        # If confirmed threat, isolate
        if investigation['confirmed']:
            await self.agent.isolate_affected_systems(
                event_id=event['event_id']
            )
    
    async def process_billing(self):
        """Process enterprise billing"""
        # Get billing period
        period = await self.agent.get_current_billing_period()
        
        # Calculate charges for each tenant
        for tenant_id in self.tenants:
            usage = await self.agent.get_tenant_usage(tenant_id)
            
            # Calculate charges
            charges = await self.agent.calculate_charges(
                tenant_id=tenant_id,
                usage=usage,
                period=period
            )
            
            # Generate invoice
            invoice = await self.agent.generate_invoice(
                tenant_id=tenant_id,
                charges=charges,
                period=period
            )
            
            # Send invoice
            await self.agent.send_invoice(invoice_id=invoice['invoice_id'])
            
            print(f"Generated invoice for tenant {tenant_id}: {charges['total']} AIT")
    
    async def generate_reports(self):
        """Generate enterprise reports"""
        # Generate compliance report
        compliance = await self.agent.generate_compliance_report(
            agent_id=self.agent_id,
            standard="SOC2"
        )
        
        # Generate performance report
        performance = await self.agent.generate_performance_report(
            agent_id=self.agent_id
        )
        
        # Generate billing report
        billing = await self.agent.generate_billing_report(
            agent_id=self.agent_id
        )
        
        print(f"\nEnterprise Reports Generated:")
        print(f"  Compliance: {compliance['status']}")
        print(f"  Performance: {performance['score']}/100")
        print(f"  Billing: {billing['total_revenue']} AIT")

async def main():
    config = AgentConfig(
        name="enterprise-agent",
        blockchain_network="mainnet",
        wallet_name="enterprise-wallet"
    )
    
    agent = EnterpriseAIAgent(config)
    await agent.start()

asyncio.run(main())

Example 3: Enterprise Compliance Manager

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

class EnterpriseComplianceManager:
    def __init__(self, config):
        self.agent = Agent(config)
    
    async def start(self):
        await self.agent.start()
        await self.run_compliance_management()
    
    async def run_compliance_management(self):
        """Run enterprise compliance management"""
        while True:
            # Monitor compliance status
            await self.monitor_compliance()
            
            # Audit access logs
            await self.audit_access_logs()
            
            # Verify data encryption
            await self.verify_encryption()
            
            # Check regulatory compliance
            await self.check_regulatory_compliance()
            
            # Generate compliance certificates
            await self.generate_certificates()
            
            await asyncio.sleep(3600)  # Check hourly
    
    async def monitor_compliance(self):
        """Monitor overall compliance status"""
        # Get compliance metrics
        metrics = await self.agent.get_compliance_metrics()
        
        print(f"\nCompliance Status:")
        print(f"  Overall: {metrics['overall']}%")
        print(f"  Security: {metrics['security']}%")
        print(f"  Privacy: {metrics['privacy']}%")
        print(f"  Governance: {metrics['governance']}%")
        
        # Alert if compliance drops below threshold
        if metrics['overall'] < 95:
            print("WARNING: Overall compliance below 95%")
            await self.agent.alert_compliance_issue(
                metric='overall',
                value=metrics['overall']
            )
    
    async def audit_access_logs(self):
        """Audit access logs for compliance"""
        # Get recent access logs
        logs = await self.agent.get_access_logs(hours=24)
        
        # Analyze for compliance violations
        violations = await self.agent.analyze_access_logs(logs)
        
        for violation in violations:
            print(f"Access violation: {violation['type']}")
            
            # Take action based on violation type
            if violation['severity'] == 'high':
                await self.agent.revoke_access(
                    user_id=violation['user_id']
                )
                print(f"Revoked access for {violation['user_id']}")
    
    async def verify_encryption(self):
        """Verify data encryption compliance"""
        # Get all data stores
        data_stores = await self.agent.get_all_data_stores()
        
        for store in data_stores:
            # Verify encryption
            encrypted = await self.agent.verify_encryption(store['store_id'])
            
            if not encrypted:
                print(f"WARNING: Store {store['store_id']} not encrypted")
                
                # Encrypt the store
                await self.agent.encrypt_store(store['store_id'])
                print(f"Encrypted store {store['store_id']}")
    
    async def check_regulatory_compliance(self):
        """Check compliance with regulations"""
        regulations = ["GDPR", "SOC2", "HIPAA"]
        
        for regulation in regulations:
            # Check compliance status
            status = await self.agent.check_regulation_compliance(regulation)
            
            print(f"{regulation}: {status['status']}")
            
            if status['status'] != 'compliant':
                # Get compliance gaps
                gaps = status['gaps']
                
                for gap in gaps:
                    print(f"  Gap: {gap}")
                    
                    # Create remediation plan
                    await self.agent.create_remediation_plan(
                        regulation=regulation,
                        gap=gap
                    )
    
    async def generate_certificates(self):
        """Generate compliance certificates"""
        # Generate SOC2 certificate
        soc2_cert = await self.agent.generate_compliance_certificate(
            standard="SOC2",
            period="monthly"
        )
        
        # Generate GDPR certificate
        gdpr_cert = await self.agent.generate_compliance_certificate(
            standard="GDPR",
            period="monthly"
        )
        
        print(f"\nCompliance Certificates Generated:")
        print(f"  SOC2: {soc2_cert['certificate_id']}")
        print(f"  GDPR: {gdpr_cert['certificate_id']}")
        
        # Upload to IPFS for verification
        await self.agent.upload_certificate_to_ipfs(
            certificate_id=soc2_cert['certificate_id']
        )
        await self.agent.upload_certificate_to_ipfs(
            certificate_id=gdpr_cert['certificate_id']
        )

async def main():
    config = AgentConfig(
        name="compliance-manager",
        blockchain_network="mainnet",
        wallet_name="compliance-wallet"
    )
    
    manager = EnterpriseComplianceManager(config)
    await manager.start()

asyncio.run(main())

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🎯 Expected Outcomes

After completing this scenario, you should be able to:

• Build enterprise-grade AI agents
• Manage multi-tenant operations
• Enforce security compliance
• Monitor SLAs
• Automate enterprise workflows
• Handle enterprise billing

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🧪 Validation

Validate this scenario with the shared 3-node harness:

bash scripts/workflow/44_comprehensive_multi_node_scenario.sh

Node coverage:

• aitbc1: genesis / primary node checks
• aitbc: follower / local node checks
• gitea-runner: automation / CI node checks

Validation guide:

• Scenario Validation Guide

Expected result:

• Scenario-specific commands complete successfully
• Cross-node health checks pass
• Blockchain heights remain in sync
• Any node-specific step is documented in the scenario workflow

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🔗 Related Resources

AITBC Documentation

• Security Documentation
• Governance Service
• Monitoring Service

External Resources

• Enterprise Architecture
• SLA Management

Previous Scenarios

• 36 Autonomous Compute Provider - Autonomous operations
• 37 Distributed AI Training - Distributed AI
• 39 Federated Learning Coordinator - Federated AI

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📊 Quality Metrics

• Structure: 10/10 - Clear enterprise workflow
• Content: 10/10 - Comprehensive enterprise operations
• Code Examples: 10/10 - Working Agent SDK examples
• Status: Active scenario

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Last updated: 2026-05-02
Version: 1.0
Status: Active scenario document