Part I: The Origin of AIFC
21. AI Waste and Workflow Conversion
1 min read
As AI use grows, some AI work becomes repetitive.
Examples:
- rewriting similar ticket descriptions,
- repeatedly summarizing similar meetings,
- repeatedly correcting the same metadata,
- repeatedly checking the same structure,
- repeatedly formatting the same document,
- repeatedly detecting the same missing field.
At first, AI helps.
But if the same pattern repeats, the system should learn.
The question becomes:
Why are we paying AI again and again to repeat a pattern the system could own?
This led to two important concepts:
AI Waste Backlog
Workflow Conversion
AI Waste Backlog captures repeated low-value or avoidable AI work.
Workflow Conversion turns repeated AI work into:
- template,
- validator,
- script,
- UI workflow,
- human skill,
- AI skill,
- checklist,
- source of truth improvement,
- or decision to stop doing the work.
The key phrase became:
Let AI reveal the pattern. Let the system own the pattern.
This changed the role of AI again.
AI is not only a worker.
AI is a pattern detector that helps the community improve its operating system.