Structured worksheet for AI investments
Enterprise AI ROI Case Study Template
This interactive worksheet guides enterprise teams through documenting AI project returns. It facilitates clear calculation of ROI metrics, capturing costs, benefits, and qualitative outcomes. Users can generate a shareable case study to support FinOps and executive buy-in.
Enterprise AI projects require rigorous ROI documentation to justify investment and scale. This interactive template helps teams standardize collection and calculation of financial and operational impacts for any AI deployment.
The template covers cost inputs, measurable benefits, timeline assumptions, and intangible factors. Outputs include ROI percentage, payback period, and a structured case study narrative for sharing with stakeholders.
Inputs
Specify the AI initiative or use case name.
Duration over which ROI is calculated.
Total upfront cost for AI deployment, including software, hardware, and consulting.
Recurring costs such as cloud compute, licensing, support.
Financial gains attributable to the AI project. Include increased revenue, cost savings, or productivity gains.
List qualitative impacts, e.g., improved decision quality, customer satisfaction, speed to market.
Identify risks to ROI or adoption and how they were managed.
Result
initial-investment + (ongoing-monthly-costs * time-period-months)(annual-benefits * time-period-months) / 12((total-benefit - total-cost) / total-cost) * 100initial-investment / (annual-benefits / 12)Summary
Best practice
Ensure benefit calculations exclude overlaps with other projects and use conservative estimates for cost savings. Capture qualitative benefits to support a broader business case.
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