Workflow Automation

Orchestrate cross-divisional processes, automate compliance routing, and trigger AI-driven actions across the Aevum Zenth ecosystem.

Overview

The Aevum Zenth Workflow Engine is a high-throughput, event-driven orchestration layer designed to bridge 400+ subsidiaries across energy, aerospace, healthcare, finance, and logistics. It supports DAG-based execution, human-in-the-loop approval gates, and real-time state reconciliation.

Architecture

Workflows are defined as YAML or JSON manifests and compiled into executable DAGs. The engine routes events through the Zenth Mesh, applies transformation steps, and persists state to the encrypted ledger.

Quick Start

1. Initialize CLI & Auth

bashCopy
az-cli auth login --tenant=global
az-cli workflow init my-project

2. Define a Workflow

workflow.yamlCopy
apiVersion: workflow.zenth.aevum/v2
kind: Automation
metadata:
  name: supply-chain-alert
  division: logistics
spec:
  trigger:
    type: event
    source: iot.sensor.network
    filter: ".payload.anomaly > 0.85"
  steps:
    - id: classify
      type: ai-model
      model: zenth-classifier-v3
      input: $.payload
    - id: route
      type: conditional
      if: ".classify.result == 'critical'"
      then: human_approval
      else: auto_resolve
    - id: human_approval
      type: gate
      role: ops-manager
      timeout: 1h
    - id: notify
      type: action
      target: enterprise.slack
      channel: "#logistics-alerts"

3. Deploy & Monitor

bashCopy
az-cli workflow deploy workflow.yaml
az-cli workflow logs supply-chain-alert --follow

API Reference

Programmatic control is available via REST and the official SDKs. All endpoints require Bearer tokens scoped to workflow:execute or workflow:admin.

Execute Workflow

httpCopy
POST /v2/workflows/{id}/execute
Content-Type: application/json
Authorization: Bearer <token>

{
  "context": {
    "division": "energy",
    "payload": { "grid_load": 94.2, "region": "NA-EAST" }
  },
  "override": { "skip_human_gate": false }
}

Response

jsonCopy
{
  "execution_id": "exec_8f9a2c1d",
  "status": "running",
  "current_step": "classify",
  "estimated_completion": "2025-11-14T10:42:00Z"
}

Division Use Cases

• Aevum Energy: Auto-reroute power distribution during grid anomalies, trigger maintenance tickets, and escalate to regional ops if load exceeds 92%.
• Zenth Health Sciences: HIPAA-compliant patient intake routing, prior-authorization automation, and lab result triage with human validation.
• Aevum Aerospace: Pre-flight checklist validation, satellite telemetry anomaly response, and launch window dependency tracking.
• Aevum Capital Group: KYC/AML document verification, cross-margin risk alerts, and automated compliance reporting to regulators.

Security & Compliance

All execution steps run in zero-trust sandboxes. Secrets are injected at runtime via zenth-secrets-manager. Audit logs are immutable and replicated to SOC2-compliant cold storage.

Best Practices

1. Idempotency: Design steps to safely replay. Use idempotency_key in headers for stateless actions.
2. Timeouts: Always define step.timeout. Default is 300s. Long-running tasks should emit progress events.
3. Observability: Embed trace_id in custom logs. Enable metrics.workflow.duration_ms for SLA tracking.
4. Human Gates: Set clear escalation policies. Avoid nested gates; flatten approval chains to reduce latency.

Need help? Contact platform-eng@aevum-zenth.com or open a ticket in the internal portal.