Establishing Effective Automation Workflows to Maximize Efficiency & Drive Continuous Value

  • Examining how choices in project kick-off influence the long-term adoption of computational tools
  • Identifying key practices that support evolution of design outputs to ensure maximum alignment with original design intentions
  • Exploring methods to validate and evolve adoption to avoid loss of learnings to one-off implementations
  • Balancing automation with engineering judgement to ensure quality and reliability whilst understanding limitations