AI Investment ROI Model - Location-Adjusted Edition – Excel XLSX

BENEFITS OF THIS DOWNLOADABLE EXCEL DOCUMENT

1. Calculates a Substitution Ratio that compares the fully-loaded local cost of the human role being replaced against the actual monthly cost of running the AI system, with an automatic green, amber, or red signal on the strength of the substitution economic
2. Applies a Blended Token Cost Multiplier -- standard rates for ten languages including Hindi, Arabic, Tamil, and Bahasa, plus a Custom option -- directly to the Cost Model, so NPV, IRR, and ROI% recalculate automatically whenever the deployment language ch
3. Separates revenue that depends on the AI system itself from ordinary labour substitution through a four-line Expansion Benefits Module, so the business case can show whether it is primarily substitution-driven or expansion-driven.

ARTIFICIAL INTELLIGENCE EXCEL DESCRIPTION

AI Investment ROI Model - Location-Adjusted Edition is an Excel template (XLSX) with a supplemental PDF document available for immediate download upon purchase.

A business case built purely in USD and English quietly assumes away two variables that decide whether an AI programme actually pays off outside a US-only deployment: the real inference cost of running in a non-English language, and whether the AI system is genuinely cheaper than the fully-loaded local cost of the human role it replaces. Either assumption, tested rather than taken on faith, can move a positive NPV to a negative one.

This edition answers that gap on the same financial engine used across Viksya's ROI models: Net Present Value, Internal Rate of Return, 3-year and 5-year ROI, Payback Period, and Benefit-to-Cost Ratio, run across Conservative, Base, and Aggressive scenarios with two-variable sensitivity tables. On top of that core it adds a dedicated Market Configuration tab that converts local currency to USD, applies a Blended Token Cost Multiplier for non-English inference, and calculates a Substitution Ratio – the fully-loaded local labour cost measured against the actual monthly cost of running the AI system – with a green, amber, or red signal on how strong the substitution argument really is.

The workbook runs to eleven working tabs. Cover and Instructions orient the user; Program Configuration sets financial parameters and a Low–Base–High development cost range; Market Configuration handles deployment market, currency, exchange rate, and language; Cost Model captures 20 cost line items across implementation, operations, change management, and governance; Benefits Model quantifies 26 benefit line items – 22 core productivity, cost-avoidance, revenue, risk, and strategic-value lines, plus four Expansion Benefits lines for revenue that is only reachable because of the AI system itself, each independently toggled into or out of the Base Case; ROI Dashboard and What-If Scenarios auto-calculate the financial metrics and scenario comparisons; an Investment Gate Planner structures funding as three staged, probability-weighted go/no-go gates; Sensitivity Analysis stress-tests ROI and NPV; and the Executive Summary auto-populates a print-ready one-page leadership summary, including a Market Context section showing deployment market, language, blended multiplier, and the Substitution Ratio signal.

It is built for programme sponsors, CFOs and FP&A teams, and consultancies building AI business cases for clients deploying outside a US/English-only context – anywhere the deployment market, currency, or language changes the underlying economics of the case.

Format: Excel (.xlsx), no macros or VBA, built for Excel 2016 and later and Microsoft 365. A PDF user manual is included.

Published by Viksya. Seller licence terms are included within the document and take precedence over platform defaults

Source: Best Practices in Artificial Intelligence, Financial Modeling Excel: AI Investment ROI Model - Location-Adjusted Edition Excel (XLSX) Spreadsheet, Viksya