White-Label 'AI Operations Department' for Client Resale

1. The Problem

Every enterprise client you serve with individual automations is also a business that has suppliers, partners, sister companies, or customers who face the same operational problems. The moment you have successfully deployed four or more Enterprise automations for a single client, you have built something worth far more than the sum of its parts: a live, running AI operations infrastructure. You have built a demonstration they can show to every business in their network. That network is your next market. The White-Label package turns your client into a reseller — and your one-to-one service model into a one-to-many revenue structure.

2. Integration & Webhook Setup

Follow the exact steps below to configure and deploy this automation inside your OpenClaw workspace.

1. 1This is an architectural, documentary, and commercial framework package. It contains: a white-label formatting guide, a reseller agreement template, a sub-client onboarding protocol, a revenue share calculator, and a brand customisation checklist.
2. 2Select the six to eight automations from across the three tiers that form the client's core AI Operations stack. Document these using the standard Documentation Standard template — this becomes the technical foundation of the white-label package. The client must have had at least 90 days of stable operation across all included automations before white-labelling is offered.
3. 3Configure your `BRAND_LAYER`: all Prompt Architectures are tailored to reference the client's brand name and support contact rather than yours. The agent outputs and notifications arrive under the client's identity. Your business operates invisibly as the infrastructure provider.
4. 4Execute the reseller commercial agreement: define the revenue share model (typically 20–30% of the sub-client's monthly retainer to the reseller, 70–80% to you as infrastructure provider), the scope of support included in the reseller's tier, and the conditions under which you engage directly with sub-clients.
5. 5Run the first sub-client deployment together: you lead the technical configuration, the reseller leads the client relationship. By the second or third sub-client deployment, the reseller can manage the client relationship independently — you provide the infrastructure and a monthly operations report. This is your managed service at scale.

3. The Context Payload (context.json)

Save this file as: .openclaw/agents/white-label-ai-operations-department-for-client-resale/context.json

{
  "automation_id": "30",
  "title": "White-Label 'AI Operations Department' for Client Resale",
  "level": 3,
  "tier": "Enterprise Playbook",
  "setup_time": "2 weeks",
  "estimated_api_cost": "~$120–$240/mo",
  "client_price_range": "$2,000–$10,000",
  "agents": [
    {
      "role": "orchestrator",
      "model": "claude-3-5-sonnet",
      "temperature": 0.2,
      "max_tokens": 4096
    }
  ],
  "memory": "session",
  "output_format": "structured_json",
  "human_review_gate": true,
  "documentation_standard": "required"
}

4. Execution Commands

Run these commands from your openclaw-workshop/ directory to validate, test, and schedule this automation. Commands are taken directly from The OpenClaw Income Engine, Appendix G.

# The White-Label 'AI Operations Department' is a framework package rather than a single agent.
# There are no OpenClaw CLI commands specific to this automation beyond those of its constituent automations.
# After configuring the white-label stack, use the standard run/schedule/webhook commands
# for each of the 6-8 constituent automations in the client's stack.
#
# To view all scheduled automations in a client's stack:
$ openclaw schedule list --client <client_id>
#
# To generate the monthly operations report for a reseller client:
$ openclaw run white-label-report --client <client_id> --month $(date +%Y-%m)
#
# To view sub-client dashboard:
$ openclaw dashboard --client <client_id>