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Team Setup

  1. Navigate to Settings → Teams
  2. Click Create Team
  3. Enter the team name (e.g., “Support,” “Sales,” “Retention”)
  4. Click Create

Your new team gets its own dedicated AI agent, ready to be configured.


  1. Open the team’s settings page
  2. Click Members → Add Member
  3. Enter the team member’s email address
  4. Assign a role:
RoleWhat They Can Do
ManagerView team data, approve action plans, manage kanban cards, use Co-Pilot
ViewerRead-only access to the team’s triage queue and customer data

Members can belong to multiple teams. Their Dashboard view automatically filters to their assigned teams.


Configure how the team’s AI agent writes:

  1. Open the team’s settings page
  2. Click Communication Style
  3. Set the following:
SettingOptionsExample
ToneFormal, Professional, Friendly, CasualFormal: “Dear Mr. Johnson, Thank you for reaching out.”
VoiceFirst person (“I”), Team (“We”), Company name”We at Acme want to make this right.”
Custom phrases to includeFree text”We appreciate your patience.”
Custom phrases to avoidFree text”Unfortunately,” “Per our policy”

The AI applies these settings whenever it drafts emails, writes action plan descriptions, or responds through the OpenClaw.


Your team’s playbook acts as the AI’s knowledge base, containing all the rules, policies, and procedures it follows.

  1. Open the team’s settings page
  2. Click Playbook → Upload
  3. Choose your source:
SourceHow It Works
PDF / DOCXUpload a file. Contents are indexed for retrieval.
Google Doc linkPaste a link to a Google Doc. Heard will sync changes automatically, meaning the AI’s knowledge updates as soon as you edit the document.
Direct entryType or paste text directly into the Dashboard editor.

You can upload multiple documents per team. The AI searches across all of them when it needs policy guidance.

Think of the playbook as everything you’d tell a new hire on their first day:

  • Refund and return policies
  • Escalation procedures
  • Discount authorization limits
  • Standard operating procedures
  • Response templates and scripts
  • Product knowledge base articles
  • Compliance rules and restrictions

When the AI encounters a decision point (for example, navigating how to handle a customer requesting a refund), it:

  1. Searches the team’s playbook for relevant sections
  2. Retrieves the most relevant policy passages
  3. Applies the policy to the specific situation
  4. Cites the policy in its reasoning (visible in the audit trail)

The AI never makes up rules, as it grounds every decision in your documentation.