AI ROI Calculator
Evaluate the potential for your organization from task productivity increases alone from a recent Harvard Business Review field study.
This calculator reflects results from our case study with a Consumer Goods company, where we achieved 14% productivity improvements through comprehensive AI training.View our case studies→
Your Projected Savings
Calculation methodology: This calculator reflects results from our case study with a Consumer Goods company, where we achieved 14% productivity improvements through comprehensive AI training. This 14% range reflects actual productivity gains when AI acts as a collaborative partner—providing expertise, breaking down functional silos, and even improving emotional experiences.
This methodology is further supported by a large-scale field experiment with 776 professionals at Procter & Gamble, which found that AI serves as a "cybernetic teammate" rather than just a tool. The study, published by researchers from leading business schools, demonstrated that individuals working with AI completed tasks 16.4% faster while maintaining quality comparable to human teams. Teams using AI achieved 12.7% time savings. The research showed AI enables individuals to perform at levels previously requiring full teams, while helping teams achieve breakthrough solutions 3x more often.
Independent research lands in the same range. The 12–16% band isn't a one-off. A field study of 5,179 customer-support agents found a 14% average productivity gain (Brynjolfsson, Li & Raymond, NBER), with the largest gains—up to 34%—going to less-experienced workers. A pre-registered randomized trial of 758 management consultants found those using AI completed 12.2% more tasks at higher quality (Dell'Acqua et al., Harvard/BCG). Three independent studies across three different domains all converge on this range.
A note on scope. These figures reflect engaged users on AI-amenable tasks—not a blanket average across every employee and every hour of work. Economy-wide estimates are lower: a nationally representative study by the Federal Reserve Bank of St. Louis found average users save about 5% of work hours (Bick, Blandin & Deming). Returns concentrate where AI is deliberately applied and teams are trained to use it—which is exactly the gap our engagements are built to close.
Learn more about our case studies→ Read the full field study: "AI as a Cybernetic Teammate: The Future of Human-AI Collaboration in Knowledge Work"
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