The need
Why I created it
I created this method to compare the full cost of a delivery choice rather than treating speed or hourly price as the whole answer.
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Decision and Cost Clarity
AI vs Human Costing Analysis Protocol
A decision method for comparing whether work should be done by AI, human effort, automation, or a hybrid approach based on cost, time, quality, and risk.
Work is assigned to the approach that creates the strongest responsible value, not merely the lowest visible price.
A familiar situation
Where this method begins
The cheapest-looking way to complete a task can become expensive when review time, errors, trust, maintenance, or rework are ignored.
What this method is
A simple definition
A decision method for comparing whether work should be done by AI, human effort, automation, or a hybrid approach based on cost, time, quality, and risk.
The function
What it does
It considers effort, tool cost, review burden, reliability, judgement, sensitivity, learning value, reversibility, and long-term maintenance.
Practical value
How it helps
It gives decision-makers a calmer way to choose between human, AI, automation, and hybrid delivery.
The working rhythm
A simple flow
- 01
Define the outcome and quality bar.
- 02
Estimate human effort.
- 03
Estimate AI and automation effort.
- 04
Add review, risk, and maintenance cost.
- 05
Compare realistic options.
- 06
Choose and record the rationale.
The distinction
What makes it different
Quality, risk, and hidden review time are treated as real costs, not footnotes.
What improves
The final impact
Work is assigned to the approach that creates the strongest responsible value, not merely the lowest visible price.
Useful contexts
Where it can be useful
- Content production
- Analysis and research
- Operational automation
- Software work
- Sensitive decisions
Continue the thought
A method becomes more useful when it meets a real context.
If you are working through content production, we can discuss whether this method offers a useful way to frame the next step.