Azure OpenAI ROI Calculator

This tool helps you estimate the potential return on investment (ROI) from implementing Azure OpenAI solutions within your organization. By inputting key information such as daily AI tool usage, employee count, and average costs, the calculator provides a tailored analysis of productivity gains, cost savings, and long-term value.

Total Eligible Employees: ? Enter the total number of employees who will directly or indirectly benefit from the AI solution. This includes those whose workflows will be enhanced or automated by AI tools.

Average Employee Hourly Cost: $ ? Provide the average hourly wage or cost per employee, including benefits. This helps estimate labor savings and productivity improvements resulting from AI implementation.

Average Daily Usage of AI Tools within your Organization? ? Estimate the average amount of time employees or systems interact with AI tools daily. Consider both direct usage (e.g., chatbots, document analysis) and indirect usage (e.g., AI-enhanced applications or automated processes).

Low: 15 Minutes Per Day
Medium: 30 Minutes Per Day
High: 60 Minutes Per Day
Full Adoption: 120 Minutes Per Day

What type of solution? ? Select the AI solution that best describes your implementation:

Document Intelligence, Automated Reports, Customer Service Chatbot or Code Development.

The solution type will help tailor the ROI analysis based on its expected impact.

Solution complexity: ? Indicate the complexity of the solution based on factors such as customization level, integration with existing systems, data processing needs, and the number of workflows it touches. Higher complexity may impact both time to implement and potential return.

Simple: A straightforward AI solution that requires minimal customization and integration. Typically involves off-the-shelf AI models with limited data processing or system integration. Examples include basic chatbots or pre-built analytics tools.

Average: A moderately complex AI solution that involves some customization and integration with existing systems. It may require processing larger datasets and adapting models to specific business needs. Examples include AI-powered document analysis, customized NLP models, or automation of multiple workflows.

Advanced: A highly complex AI solution that requires significant customization, integration with multiple systems, and handling large or unstructured datasets. It often involves developing new models, scaling across the organization, and deep integration with business-critical processes. Examples include AI-driven predictive analytics, real-time processing, or computer vision applications.

Your total year 1 cost savings will be

Azure OpenAI ROI Calculator

Enter your information to unlock significant savings