AI for Business: ROI, Token Costs & Automation Savings
Price LLM requests from tokens, forecast the monthly AI bill, score models on cost, quality and speed, value automation savings, and build an ROI, payback and risk-adjusted business case, on live auto-graded spreadsheets.
The first lesson is free — no account needed.
About this course
An AI for business course that builds an LLM token cost calculator and the AI ROI case finance teams ask for, for one fictional home-goods company. You price requests from input and output tokens, forecast the monthly AI bill as users and requests grow, compare models on cost, quality and latency with a weighted scorecard, value automation savings from hours saved and a loaded hourly rate, model the ROI and payback quarter of an AI assistant, weigh human-in-the-loop review against the cost of errors, calculate the savings from prompt caching and batching and build a risk-adjusted business case with scenarios and expected NPV. Prices are illustrative tiers, not a vendor price list. The first lab is free.
Lessons
- Tokens & Cost per Request: Input vs Output PricingFree
- Monthly LLM Cost Forecast: Users × Requests × Tokens Pro
- Model Choice: Cost vs Quality vs Latency Scorecard Pro
- Automation Savings: Hours Saved × Loaded Rate − Tool Cost Pro
- AI Project ROI & Payback: Build Cost, Run Cost, Benefit Ramp Pro
- Human-in-the-Loop: Review Cost vs the Cost of Errors Pro
- Caching & Batching: Cutting the Token Bill Pro
- Risk-Adjusted Business Case: Scenarios, Expected NPV & Sensitivity Pro