All use cases
Persona6 min read

OpenClaw for Agencies: Deploy AI for Multiple Clients

Agencies need to manage multiple client AI deployments efficiently. OpenClaw's infrastructure model scales to agency workflows.

Agencies face a unique challenge: delivering high-quality AI projects for multiple clients, each with different requirements, while maintaining velocity. OpenClaw's template-based deployment is built for this.

The Agency Deployment Workflow

  1. Template the base: Start with a standard OpenClaw config template
  2. Customize per client: Modify the OpenClaw JSON for each client's model, channel, and branding
  3. Deploy per client: Each client gets their own Fly app with isolated volume
  4. Monitor centrally: Fly's dashboard shows all apps; consider a central logging solution for agency-wide view

Billing Considerations

Each Fly app is billed separately. For agency billing:

  • Option 1: Agency pays all Fly costs, invoices clients
  • Option 2: Client provides their own Fly token
  • Option 3: EZClaw's multi-tenant model handles this automatically

What Agencies Are Building

  • Client support chatbots (reduce support load 30-50%)
  • Community Discord/Telegram bots
  • Internal knowledge base assistants
  • Content moderation bots

Template Reuse

Agencies should maintain a library of OpenClaw config templates. A Telegram bot template, a Discord bot template, a multi-model template — re-use these as the base for each new client project.

Skip the self-hosting

Deploy OpenClaw in under a minute

No servers. No SSH. No terminal. Pick a model, connect Telegram, and go.

Deploy free with Testflight