The Hidden Inefficiency in Automation

• Engineers repeatedly write custom scripts for similar tasks
• Inconsistent output formats cause downstream errors
• Duplicated AI processing logic across workflows
• Minor changes require updates to multiple workflows
• Knowledge silos develop around complex automations

The Result: What starts as time-saving automation becomes a maintenance burden, with 95% of time spent on updates rather than new development. As your automation needs grow, this approach becomes increasingly unsustainable, slowing innovation and increasing technical debt.