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OpenClaw Automation Deployment Collection: Building a Process Automation System

OpenClaw Automation Deployment Collection: Building a Process Automation System

Business process automation has evolved far beyond simple if-then rules. With OpenClaw on Tencent Cloud Lighthouse, you can build AI-powered process automation that handles complex, judgment-heavy workflows — the kind that traditionally required human decision-making at every step.

Beyond RPA: Intelligent Process Automation

Traditional RPA (Robotic Process Automation) tools excel at repetitive, rule-based tasks. But they break when:

  • Inputs are unstructured (natural language, varied formats)
  • Decisions require context or judgment
  • Processes have exceptions that don't fit predefined rules
  • Workflows need to adapt to changing conditions

OpenClaw bridges this gap with AI-powered decision nodes embedded directly in your automation workflows.

Architecture

┌──────────────────┐     ┌──────────────────┐     ┌──────────────┐
│  Trigger Layer   │     │   OpenClaw Core   │     │  Action      │
│  - Webhooks      │────▶│   + Process       │────▶│  Layer       │
│  - Schedules     │     │   Skills          │     │  - APIs      │
│  - Events        │     │   + AI Engine     │     │  - Databases │
│  - File Drops    │     │                    │     │  - Services  │
└──────────────────┘     └──────────────────┘     └──────────────┘
                                │
                         ┌──────────────┐
                         │  Lighthouse  │
                         └──────────────┘

Deployment

Step 1: Lighthouse Setup

A 2-core 4GB Lighthouse instance handles most process automation workloads. Scale to 4-core 8GB for high-volume scenarios.

sudo apt update && sudo apt upgrade -y
sudo apt install -y docker.io docker-compose

docker run -d --name openclaw-automation \
  -p 3000:3000 \
  -v /opt/openclaw/data:/app/data \
  -v /opt/openclaw/workflows:/app/workflows \
  --restart always \
  openclaw/openclaw:latest

Configure per the official guide.

Step 2: Process Skills Installation

{
  "skills": [
    {
      "name": "document-processor",
      "capabilities": ["ocr", "extraction", "classification", "validation"]
    },
    {
      "name": "approval-engine",
      "capabilities": ["routing", "escalation", "sla_tracking"]
    },
    {
      "name": "integration-hub",
      "connectors": ["rest_api", "database", "email", "im", "file_system"]
    },
    {
      "name": "ai-decision-engine",
      "capabilities": ["classification", "scoring", "recommendation", "anomaly_detection"]
    }
  ]
}

Step 3: Define Process Workflows

Invoice Processing Automation:

process: invoice_processing
trigger: new_file_in(/inbox/invoices/)

steps:
  - extract:
      skill: document-processor
      action: ocr_and_extract
      fields: [vendor, invoice_number, date, line_items, total, currency]
      confidence_threshold: 0.9
  
  - validate:
      checks:
        - vendor_in_approved_list
        - amount_within_budget
        - no_duplicate_invoice
        - tax_calculation_correct
      on_failure: route_to_manual_review
  
  - classify:
      skill: ai-decision-engine
      categories: [capex, opex, recurring, one_time]
      assign_cost_center: based_on_vendor_and_category
  
  - approve:
      skill: approval-engine
      rules:
        - amount < 1000: auto_approve
        - amount < 5000: manager_approval
        - amount < 25000: director_approval
        - amount >= 25000: vp_approval
      sla: 48_hours
      escalation: manager_of_approver
  
  - execute:
      on_approved:
        - create_payment: erp_system
        - update_ledger: accounting_software
        - archive_document: cloud_storage
        - notify: [requester, finance_team]

Employee Onboarding:

process: employee_onboarding
trigger: new_hire_record_in_hr_system

steps:
  - gather_info:
      from: hr_system
      fields: [name, role, department, start_date, manager, location]
  
  - provision_accounts:
      parallel:
        - create_email: google_workspace
        - create_slack: slack_admin_api
        - create_github: github_org_api
        - create_jira: atlassian_api
      timeout: 30m
  
  - setup_equipment:
      skill: ai-decision-engine
      determine: equipment_package
      based_on: [role, department, seniority]
      order_from: it_asset_management
  
  - generate_welcome_kit:
      skill: document-processor
      create:
        - welcome_letter: personalized
        - first_week_schedule: based_on_role
        - training_plan: based_on_department
        - mentor_assignment: based_on_team
  
  - schedule_meetings:
      - orientation: day_1_morning
      - team_intro: day_1_afternoon
      - manager_1on1: day_2
      - hr_benefits_review: day_3
  
  - notifications:
      - manager: "New team member {{name}} starting {{start_date}}"
      - team: "Welcome {{name}} to the team!"
      - it: "Equipment order for {{name}}"
      - facilities: "Desk setup for {{name}} at {{location}}"

Support Ticket Routing:

process: ticket_routing
trigger: new_support_ticket

steps:
  - analyze:
      skill: ai-decision-engine
      extract: [category, severity, product, customer_tier]
      sentiment: detect
  
  - enrich:
      lookup_customer: crm_database
      get_history: previous_tickets
      check_sla: contract_terms
  
  - route:
      rules:
        - severity critical + customer enterprise:
             team: senior_engineers
             sla: 1_hour
             notify: engineering_manager
        - category billing:
             team: finance_support
             sla: 4_hours
        - category technical + product in [api, sdk]:
             team: developer_support
             sla: 8_hours
        - default:
             team: general_support
             sla: 24_hours
  
  - auto_suggest:
      search: knowledge_base
      provide: top_3_solutions
      to: assigned_agent

Process Monitoring

monitoring:
  dashboards:
    - active_processes: real_time
    - sla_compliance: hourly
    - bottleneck_detection: daily
    - cost_per_process: monthly
  
  metrics:
    - process_completion_rate
    - average_cycle_time
    - automation_rate (ai_vs_human)
    - error_rate
    - cost_savings
  
  alerts:
    - sla_breach_imminent  escalate
    - error_rate > 5%  investigate
    - queue_depth > 100  scale_warning

ROI Analysis

Process Manual Cost Automated Cost Savings
Invoice Processing $15/invoice $0.50/invoice 97%
Employee Onboarding $800/hire $50/hire 94%
Ticket Routing $5/ticket $0.10/ticket 98%
Infrastructure $15/month

Why Lighthouse?

  • Simple: Full process automation stack in one deployment
  • High Performance: Handle hundreds of concurrent processes
  • Cost-effective: Enterprise automation at startup prices

Build your intelligent process automation system on Tencent Cloud Lighthouse.