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Metrics
3
Tiers
4
Levers
7
Steps
Most companies cannot answer "What is your AI ROI?"
Boards and executives are no longer satisfied with "increased productivity" as a vague promise. They are asking for hard proof of ROI. Most AI programs stall because they measure activity or usage like tokens used, prompts sent, time saved—instead of financial outcomes.
We developed this guide to bridge the gap between AI activity and the income statement. It provides the framework, measurements and linkage to financial outcomes needed to prove how an AI investment translates into an improved income statement.
How to use this book
Build Framework
Standardize how your entire organization measures AI ROI and business impact from top to bottom.
Signals, leading indicators, operational metrics, financial outcomes and strategic value all in one framework.
Establish Baseline
Define, calculate and report on "before AI performance metrics" and then once process is redefined for AI, calculate and report the "after AI" metrics.
Define "AI Future"
Before you write develop AI agents, map current process, redefine future AI-first process, define metrics to measure impact and instrument ability to track costs and financial impact of the AI-first outcomes.
Report to Board
Use the proposed 3-tier reporting structure to present high-level financial impact to stakeholders, and what the operational metrics and leading indicators are forecasting.
Coverage across 13 categories
Sales
IT & Security
HR & People
Marketing
Operations
AI Product
Customer Success
Finance
Engineering
Customer Support
Risk & Compliance
Company Performance
About the Authors
Ray Rike
Founder and CEO of Benchmarkit, Ray is the leading voice in B2B software benchmarks, metrics and operational efficiency. His work helps B2B tech companies understand their performance metrics and link investments to financial returns
Peter Buchanan
For 30+ years, Peter Buchanan has been a board-level strategist, working with technology CEOs, CXOs, and boards to drive exceptional business outcomes. The numbers speak for themselves: Over 400 clients in 35+ technology markets. $700+ million in funding raised. 20+ high-value exits.
