Enterprise Profile: OpenClaw at Scale

A 500-person software company deployed three OpenClaw-powered AI assistants internally. Here's what they built and what they learned.

The Three Bots

IT Helpdesk Bot:

• Answers IT FAQ (VPN, software install, access requests)
• Escalates to human IT staff when needed
• Integrates with their Jira for ticket creation
• Handles 60% of IT queries without human intervention

HR Bot:

• Answers policy questions (PTO, benefits, compensation)
• Guides new hires through onboarding checklist
• Routes HR questions to correct HR team member
• Available 24/7 across time zones

Engineering Bot:

• Answers questions about internal documentation
• Assists with code review (GPT-4 for code explanation)
• Helps onboard new engineers to codebase
• Integrates with GitHub and Confluence

Infrastructure

• Three separate OpenClaw deployments (one per bot)
• Fly.io with private networking (VPN)
• Neon Postgres for conversation logs and analytics
• Clerk for SSO (enterprise auth)

Deployment Timeline

Month 1: IT Helpdesk Bot

• 2-week build, 4-week rollout
• 40% of IT tickets handled by AI

Month 3: HR Bot

• 1-week build (template from IT bot)
• 35% of HR questions answered by AI

Month 5: Engineering Bot

• 3-week build (more complex integrations)
• Used by 80% of engineering team daily

Results After 6 Months

• $45,000 saved in IT support costs (estimated)
• $22,000 saved in HR response time
• NPS for internal tools: Improved from 32 to 58
• New engineer ramp: 30% faster time-to-productivity

What They Learned

1. Start with IT bot: Everyone has IT problems, low risk
2. Prompts need iteration: Budget 2 weeks of prompt refinement
3. Escalation is critical: Users need a clear 'talk to human' path
4. Measure time savings: Track before/after for IT ticket volume