ROI modeller
by Corporathon · Updated 20 Aug 2026
npx skills add corporathon/skills/roi-modelliererAbout
Builds a business case for an AI prototype with open assumptions, a visible calculation and sensitivity instead of blanket efficiency promises.
How to use it
Provide volumes, times and costs from your own operation. The skill only computes with your numbers and flags everything that is still estimated.
- 01
Install the skill
Run the command in your project directory.
- 02
Start your agent
Open your coding agent in the project. The skill is detected automatically.
- 03
Give it a task
Describe the task. The agent uses the skill automatically or when asked.
Inputs
- Cases per month
- Handling time per case
- Internal hourly rate
- Expected automation rate
Outputs
- Calculation with intermediate steps
- Best, base and worst case
- List of open assumptions
Guardrails
- No industry benchmarks without a source
- No result without complete inputs
Details
- Category
- Sales & GTM
- Author
- Corporathon
- Created
- 02 Feb 2026
- Updated
- 20 Aug 2026
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ViewNext step
Ready for your hackathon?
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
Frequently asked questions
Builds a business case for an AI prototype with open assumptions, a visible calculation and sensitivity instead of blanket efficiency promises.
Run npx skills add corporathon/skills/roi-modellierer in your project directory, then start your agent. The skill is detected automatically.
Any agent that reads local skill files, including Claude Code and comparable coding agents.
Cases per month, Handling time per case, Internal hourly rate, Expected automation rate.
Calculation with intermediate steps, Best, base and worst case, List of open assumptions.
The skill is a set of instructions. Data handling depends on the agent and model you run it with, so agree on that with IT first.
Yes. The skills are free to use; you only pay for the agent or model you run them with.
Yes. Copy the skill into your repository and adjust wording, guardrails and outputs to your process.
Yes, in a hackathon. We build the first working use case with your team and hand over documentation.
No. Every output is a draft for a human decision, not an automatic approval.