AI Project ROI Calculator

Calculate the return on investment for your AI and LLM projects with comprehensive cost-benefit analysis

Based on Microsoft's AI ROI framework and industry research, the average AI project returns $3.70 for every $1 invested, with top performers achieving $10 per $1.

Project Configuration

Select a template or customize your AI project parameters

Project Template

Industry

Project Timeline (months)

Include Hidden Costs

Infrastructure Costs

Cloud Compute ($/month)

API Costs ($/month)

Storage ($/month)

Monthly Maintenance

Development Costs

Development Hours

Hourly Rate ($)

Data Preparation Cost

Retraining Frequency (months)

Hidden Costs

Often overlooked costs based on accuracy-adjusted calculations

Model Accuracy (%)

Error Cost ($)

Manual Review (%)

Support Cost ($/month)

ROI Best Practices

Key recommendations from industry research

Comprehensive TCO Analysis

Include all costs: infrastructure, development, maintenance, and hidden costs like error handling and manual reviews.Learn more about TCO frameworks

Realistic Timeline Expectations

Simple automations: 6-12 months payback. Complex AI: 2-3 years.View industry benchmarks

Accuracy-Adjusted Returns

Factor in model accuracy: Returns = Value - (1 - Accuracy) × Cost of Mistakes.See calculation methods

Strategic Value Assessment

Quantify intangible benefits: customer satisfaction, competitive advantage, and brand value impact on long-term ROI.

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References

[1] OpenAI. "Pricing Calculator" (2024)
[2] Anthropic. "Claude Pricing" (2024)
[3] AWS. "Amazon Bedrock Pricing" (2024)