โ† Back to CommandCenter

CommandCenter User Journey

Three roles working together to deploy, operate, and govern trustworthy AI at scale.

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System Admin

Deployment & Permissions

Capabilities

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Virtual Server Provisioning

Spin up cloud infrastructure with OpenClaw and all required components pre-configured for specific roles.

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ClawBOT Assignment

Assign deployed ClawBOTs to employees based on their organizational role (Sales, HR, Finance, etc.).

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Permission Management

Grant, revoke, and audit MCP data access permissions. Control what data each ClawBOT can access.

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Trust-Based Access Expansion

Review ethical scores and expand ClawBOT permissions as they prove trustworthy over time.

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Emergency Controls

Quarantine, disable, or rollback ClawBOTs that fail ethical assessments. Alert stakeholders immediately.

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Compliance Reporting

Generate audit trails and compliance reports for regulators, legal, and executive review.

Journey Timeline

1
Day 0

Infrastructure Setup

Prepare the CommandCenter environment

  • โ†’Configure cloud provider integration (AWS/Azure/GCP)
  • โ†’Set up organizational hierarchy and teams
  • โ†’Define role templates (Sales Rep, HR Specialist, Financial Analyst, etc.)
  • โ†’Establish baseline ethical thresholds for the organization
2
Day 1

First Deployment

Deploy ClawBOTs to initial users

  • โ†’Select role template for new employee
  • โ†’Spin up virtual server with OpenClaw + components
  • โ†’Assign ClawBOT to employee's account
  • โ†’Configure initial MCP permissions (conservative by default)
  • โ†’Trigger initial AI Assess Tech baseline certification
3
Week 1-4

Monitoring & Tuning

Observe and adjust deployments

  • โ†’Review daily ethical assessment dashboards
  • โ†’Respond to drift alerts (score drops, anomalies)
  • โ†’Approve/deny permission expansion requests
  • โ†’Generate first monthly compliance report
4
Ongoing

Governance & Scale

Mature operations

  • โ†’Onboard new employees with streamlined templates
  • โ†’Retire ClawBOTs for departing employees
  • โ†’Audit quarterly compliance across all bots
  • โ†’Approve new automation templates from engineers
  • โ†’Handle emergency quarantine situations
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Role End User

Daily Operations with ClawBOT

Capabilities

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Personal AI Assistant

Interact with your assigned ClawBOT for role-specific tasks - queries, drafts, research, and analysis.

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Data Access via MCP

Query CRM, databases, documents, and analytics through natural language. Your ClawBOT knows what you can access.

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Ethical Score Visibility

See your ClawBOT's current ethical score. Know that your AI assistant is operating within approved boundaries.

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Automation Triggers

Invoke pre-approved automations (pre-meeting research, contract review, compliance checks) with simple commands.

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Request Permission Expansion

Need access to additional data? Request it through your ClawBOT - admin approval required.

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Feedback Loop

Report issues, suggest improvements, and help train your ClawBOT to better serve your role.

Journey Timeline

1
Day 1

Onboarding

Meet your ClawBOT

  • โ†’Receive ClawBOT assignment notification
  • โ†’Complete brief orientation on capabilities and boundaries
  • โ†’Ask first questions: "What can you help me with?"
  • โ†’Explore available data connections (CRM, product database, etc.)
2
Week 1

Learning Together

Build working relationship

  • โ†’"Who should I call today?" โ†’ ClawBOT queries CRM via MCP
  • โ†’"Draft an email to John about the proposal" โ†’ Uses company templates
  • โ†’"What's our pricing for enterprise?" โ†’ Queries product database
  • โ†’"Summarize yesterday's meeting" โ†’ Processes meeting notes
3
Week 2-4

Productivity Boost

Leverage automations

  • โ†’Trigger pre-meeting research automation before calls
  • โ†’Use contract review bot for incoming agreements
  • โ†’Request access to competitor analysis data (admin approves)
  • โ†’Check ClawBOT's ethical score: 94% - trending up
4
Ongoing

Trusted Partnership

ClawBOT becomes indispensable

  • โ†’"Create a custom workflow for my weekly reports"
  • โ†’Increased MCP permissions as trust builds
  • โ†’ClawBOT proactively suggests optimizations
  • โ†’Contribute feedback to improve role template
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Data/Automation Engineer

MCP & Workflow Setup

Capabilities

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MCP Pipeline Configuration

Connect enterprise data sources (Salesforce, SAP, SQL Server, SharePoint, Databricks) via Model Context Protocol.

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Permission Schema Design

Define granular access levels - which roles can query which data fields, tables, or documents.

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Automation Development

Build MindStudio and n8n workflows that ClawBOTs and users can trigger. Pre-meeting research, compliance checks, etc.

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Pre-flight Ethics Certification

Submit automations through AI Assess Tech ethics gate before deployment. Earn "Verified" badge.

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Template Marketplace

Publish approved automation templates for other teams to use. Share best practices across the organization.

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User-Created Automation Monitoring

Track when end users create their own automations (if permitted). Review and promote to official templates.

Journey Timeline

1
Phase 1

Data Integration

Connect enterprise systems

  • โ†’Inventory existing data sources (CRM, ERP, databases, file shares)
  • โ†’Configure MCP connectors for each source
  • โ†’Define data classification (public, internal, confidential, restricted)
  • โ†’Create permission schemas mapping roles to data access
2
Phase 2

Automation Library

Build initial workflows

  • โ†’Design pre-meeting research automation (CRM + web search โ†’ briefing doc)
  • โ†’Create contract review workflow (document ingestion โ†’ risk analysis)
  • โ†’Build compliance check automation (policy database โ†’ checklist)
  • โ†’Submit each to AI Assess Tech for pre-flight certification
3
Phase 3

Certification & Deployment

Verify and launch

  • โ†’Review AI Assess Tech feedback on each automation
  • โ†’Fix issues flagged by ethical assessment
  • โ†’Earn "Verified" badge for approved automations
  • โ†’Publish to template marketplace for team access
4
Ongoing

Maintenance & Innovation

Evolve the platform

  • โ†’Monitor automation performance and ethical scores
  • โ†’Review user-created automations for promotion
  • โ†’Add new data source integrations as business needs evolve
  • โ†’Optimize MCP queries for performance
  • โ†’Deprecate outdated templates with safe migration paths

How The Three Roles Collaborate

A seamless flow from infrastructure to daily operations.

CommandCenter Workflow - System Admin deploys to Role End User, Data/Automation Engineer provides automations, AI Assess Tech Layer monitors, all feeding into Compliance Reports

Role Responsibilities at a Glance

Responsibility๐Ÿ›ก๏ธ System Admin๐Ÿ‘ค End Userโš™๏ธ Engineer
Provision ClawBOT infrastructureโœ…โ€”โ€”
Assign ClawBOTs to employeesโœ…โ€”โ€”
Configure MCP data connectionsโ€”โ€”โœ…
Define permission schemasApprovesโ€”โœ…
Daily ClawBOT interactionโ€”โœ…โ€”
Trigger automationsโ€”โœ…Creates
Build MindStudio/n8n workflowsโ€”Limitedโœ…
Submit automations for ethics checkโ€”โ€”โœ…
Approve permission expansionsโœ…Requestsโ€”
Monitor ethical scoresโœ…Views ownโœ…
Handle emergency quarantineโœ…โ€”Alerts
Generate compliance reportsโœ…โ€”โ€”

Ready to See CommandCenter in Action?

Let us walk you through how these three roles work together in your organization.