AI SDLC Impact Analyzer (ASIA)

AI SDLC Impact Analyzer (ASIA)

Compare overall efforts, cost, and Go-to-Market (GTM) with and without AI in your SDLC.

1. Project Information

2. Input Data: Without AI Scenario

Stage Effort (Person-Days) Cost (USD) Duration (Days)

3. Input Data: With AI Scenario

Enter efficiency gains and additional costs due to AI. Values below are pre-populated based on industry benchmarks (e.g., common observed percentage reductions from various reports on AI adoption in software development), but can be edited.

Stage Effort Reduction (%) Cost Reduction (%) Duration Reduction (%) AI Tooling Cost (USD)

4. Risk Assessment (Impact on "With AI" Scenario)

Estimate potential negative impacts of adopting AI. These will increase the "With AI" effort/cost/duration.

5. Comparison Results

Enter your data and click "Compare" to see results.

6. Assumptions & Caveats

  • Industry Benchmarks: The pre-populated "With AI" data (Effort/Cost/Duration Reduction and AI Tooling Cost) are based on general industry benchmarks from various reports on AI adoption in software development. These include insights from research papers (e.g., IEEE Software, MIT Technology Review) and analyses by major consulting firms (e.g., McKinsey, Gartner, Deloitte).
  • Illustrative Values: The provided default values are for illustration only. Actual impact will vary significantly based on:
    • Specific AI tools implemented (e.g., custom models vs. off-the-shelf solutions).
    • Quality and maturity of AI integration.
    • Specific project characteristics, complexity, and domain.
    • Organizational readiness, culture, and training initiatives.
  • Risk Quantification: The risk assessment provides a simplified percentage increase for effort and cost. Comprehensive risk analysis requires deeper qualitative and quantitative evaluation specific to your organization.
  • ROI Simplification: The Estimated ROI calculation primarily considers direct cost savings. It may not fully capture other benefits such as increased product quality, faster feature delivery, or improved employee satisfaction.
  • Data Accuracy: The accuracy of the comparison heavily relies on the precision of your input data for both "Without AI" and "With AI" scenarios.

© scalegcc 2025

Disclaimer

These tools are meant to provide quick, general insights, not exhaustive advice. They should not replace professional consultation or in-depth analysis. Users are encouraged to verify information and seek expert guidance before making decisions.

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