Most AI investment business cases fail before they reach a decision, not because the program lacks merit, but because the ROI estimate behind it does not survive Finance scrutiny. A single optimistic percentage, built on one scenario and no discounting, gets sent back for the metrics a CFO or investment committee actually uses to approve capital.
This workbook replaces that estimate with a full investment appraisal rather than a one-line calculation. It is a ten-tab, macro-free Excel model running roughly 500 live formulas validated to zero errors, and it calculates the following from your program's own cost and benefit inputs:
1. Net Present Value,
2. Internal Rate of Return,
3. Payback Period,
4. three-year and five-year ROI, and
5. Benefit-to-Cost Ratio
A configurable discount rate, a benefit ramp-up curve for adoption lag, annual cost inflation, and change-management and risk contingency buffers are applied before the result is produced. The structure is industry- and currency-agnostic, so it applies equally to Agentic AI, generative AI, MLOps, or RPA programs of any size.
# The build walks in order. A Program Configuration tab sets the evaluation horizon, discount rate, ramp-up curve, and a five-question risk profile; blue input cells and black formula cells are colour-coded throughout so data entry stays separated from calculation logic.
# The Cost Model holds twenty pre-built line items across four categories; the Benefits Model holds twenty-two across five.
# The "ROI Dashboard" consolidates every metric and issues a dynamic recommendation of "Strong Buy", "Conditional Approve", or "Needs Rework".
# What-If Scenarios models Conservative, Base, and Aggressive cases across seven adjustable levers each.
# A Gate Planner stages the investment through three gates, weighted for the non-linear cost and accuracy risk specific to AI programs such as model retraining.
# Sensitivity Analysis runs two two-variable data tables, one mapping five-year ROI across fifty-four combinations of benefit realization and cost variance, the other mapping NPV across forty-nine combinations of discount rate and benefit multiplier.
# An Executive Summary auto-populates into a print-ready one-page case.
## It is built for program sponsors, CFOs and finance business partners, and consultants who need to produce or evaluate an AI business case in the language Finance already uses, rather than build one from scratch; it is a financial appraisal tool, not a model-performance evaluation tool for data scientists or ML engineers. Results are projections generated from the assumptions entered and do not constitute financial advice; benefit and discount-rate inputs should be validated with your Finance team.
# Delivered as Excel (.xlsx), no macros or VBA, compatible with Excel 2016, 2019, 2021, and Microsoft 365 on Windows and Mac. Includes a 30-page PDF user manual covering every tab and formula methodology.
Published by Viksya. Seller licence terms are included within the document and take precedence over platform defaults.
Topic tags: Artificial Intelligence, Financial Modeling, ROI Analysis, Investment Appraisal, Digital Transformation, IT Strategy, Corporate Finance
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Source: Best Practices in Return on Investment, Integrated Financial Model Excel: AI Investment ROI Model - NPV, IRR, Payback & BCR Calculator Excel (XLSX) Spreadsheet, Viksya
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