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AI Automation Project Process

A typical AI or automation project may follow these stages:

  1. Requirements gathering
  2. Existing workflow analysis
  3. Automation planning
  4. Technical feasibility review
  5. System/integration design
  6. Development
  7. AI configuration
  8. API/database integration
  9. Internal testing
  10. Client testing
  11. Revisions
  12. Approval
  13. Production deployment
  14. Monitoring and support

Complex projects may be delivered in multiple phases.

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