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Advanced• 60 minutes
Enterprise Workflow Patterns
Learn advanced patterns for complex enterprise automation scenarios with multi-step workflows, approvals, and error handling.
What You'll Build
In this tutorial, you'll learn how to:
- Design multi-step enterprise workflows
- Implement approval processes and gates
- Handle errors and retries gracefully
- Integrate with enterprise systems (CRM, ERP, etc.)
- Ensure compliance and auditability
- Scale workflows for high-volume operations
Prerequisites
Before You Start
- ✅ Enterprise Sematryx account
- ✅ Understanding of workflow design patterns
- ✅ Familiarity with enterprise system integration
- ✅ Access to enterprise systems (CRM, ERP, etc.)
Step 1: Multi-Step Workflow Design
Create complex workflows with multiple sequential steps:
Enterprise workflow example
curl -X POST https://api.sematryx.com/v1/automations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "enterprise-order-processing",
"trigger": {
"type": "webhook"
},
"actions": [
{
"type": "validate",
"config": {
"schema": "order_schema.json"
}
},
{
"type": "transform",
"config": {
"enrichment": {
"customer_data": "fetch_from_crm",
"inventory_check": "check_stock"
}
}
},
{
"type": "approval",
"config": {
"required_approvers": ["manager", "finance"],
"timeout": 3600
}
},
{
"type": "execute",
"config": {
"fulfillment": "process_order"
}
},
{
"type": "notify",
"config": {
"channels": ["email", "sms"],
"template": "order_confirmation"
}
}
]
}'Workflow Steps
- Validate: Ensure data meets requirements
- Transform: Enrich and transform data
- Approval: Require human approval for critical steps
- Execute: Perform the main business operation
- Notify: Send notifications to stakeholders
Step 2: Using the Python SDK
Build enterprise workflows programmatically:
Create enterprise workflow with Python
from sematryx import SematryxClient
client = SematryxClient(api_key='your-api-key')
# Create enterprise workflow
workflow = client.automations.create(
name='enterprise-order-processing',
trigger={'type': 'webhook'},
actions=[
{'type': 'validate', 'config': {'schema': 'order_schema.json'}},
{'type': 'transform', 'config': {'enrichment': {...}}},
{'type': 'approval', 'config': {'required_approvers': [...]}},
{'type': 'execute', 'config': {'fulfillment': 'process_order'}},
{'type': 'notify', 'config': {'channels': ['email', 'sms']}}
]
)Step 3: Error Handling and Retries
Implement robust error handling for enterprise reliability:
Enterprise error handling
# Enterprise-grade error handling
try:
result = client.automations.trigger(workflow_id, data)
except ValidationError as e:
# Log and notify validation errors
logger.error(f"Validation failed: {e}")
notify_team("Validation error in workflow")
except ApprovalTimeoutError:
# Handle approval timeouts
escalate_to_manager()
except ExecutionError as e:
# Retry with exponential backoff
retry_with_backoff(workflow_id, data)Enterprise Patterns
Approval Gates
Require human approval for critical business decisions or high-value transactions.
- Multi-level approval workflows
- Timeout handling for pending approvals
- Escalation paths for overdue approvals
Data Enrichment
Enrich workflow data by fetching information from multiple enterprise systems.
- CRM integration for customer data
- ERP integration for inventory and pricing
- External API calls for validation
Audit and Compliance
Ensure all workflow executions are logged and auditable for compliance.
- Complete execution history
- Change tracking and versioning
- Compliance reporting
Best Practices
Enterprise Workflow Best Practices
- Design workflows with clear separation of concerns
- Implement comprehensive error handling and retries
- Use approval gates for critical business decisions
- Ensure all operations are auditable and traceable
- Test workflows thoroughly in staging environments
- Monitor workflow performance and optimize bottlenecks
- Document workflow logic and business rules
- Implement version control for workflow definitions
🎉 Next Steps
You've learned enterprise workflow patterns! Continue exploring: