AI Assessment

Project
Feasibility

Not all AI projects are worth the investment. Use systematic evaluation to identify high-value, executable projects and avoid wasting resources.

Evaluation Factors

Determine if a project is worth pursuing

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Goal Clarity

Are project goals clear? Are success metrics quantifiable?

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ROI Analysis

Are expected benefits reasonable? Does ROI meet enterprise expectations?

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Timeline Planning

Is the project timeline realistic? Are POC and iteration phases considered?

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Technical Feasibility

Can existing technology achieve goals? Is additional R&D needed?

Risk Levels

Determine project risk based on evaluation results

Low Risk

Clear goals, sufficient data, experienced team

Medium Risk

Some exploration needed, data needs processing, team needs training

High Risk

Unclear goals, insufficient data, unproven technology

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