AI ROI can be estimated by comparing the financial benefit generated by an AI initiative with its total investment and operating costs. Depending on the use case, benefits can include cost savings, productivity gains, additional revenue, or reduced operational expenses.

Consider implementation costs, software and AI usage costs, employee time, infrastructure, maintenance, training, and other operating expenses. Benefits may include labor savings, productivity gains, revenue improvements, or reduced support and operating costs.

Start with the current workload, time spent on the process, relevant labor cost, expected automation coverage, and the ongoing cost of the AI solution. The difference between the current cost and the new cost provides an estimate of potential savings.

Estimate the current support volume and cost, the percentage of conversations that could be handled by the chatbot, the expected reduction in human support workload, and the chatbot's implementation and operating costs.

Yes. If AI reduces the time required for a recurring task, the saved time can be converted into an estimated business value using the relevant employee or team cost assumptions. Productivity estimates should be treated as assumptions rather than guaranteed financial returns.

Depending on the project, include software and API costs, development, integration, data preparation, infrastructure, testing, security, training, implementation, maintenance, and ongoing operational expenses.