Calculate the return on investment of deploying AI and LLMs in your organization. Estimate labor savings, LLM costs, and the impact of observability on reducing waste.
Select a use case preset that matches your AI deployment, or choose Custom to enter your own values.
Adjust the number of AI-handled tasks per day and the minutes each task saves compared to manual work.
Set the average LLM cost per task based on your model and prompt complexity.
Enter the number of team members affected and their average hourly rate to calculate labor savings.
Tune the observability savings percentage — monitoring typically saves 10-30% of LLM spend by catching waste, errors, and inefficient prompts.
Review the results: monthly LLM spend, labor savings, net savings, ROI percentage, and payback period.
This calculator gives you estimates — Respan gives you the real numbers. Monitor every LLM call, track actual costs per user, and measure the true ROI of your AI features in production. See exactly where your budget goes and optimize with data, not guesswork.
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