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Build vs Buy Analyzer

Get a data-driven recommendation on whether to build custom AI or buy an existing solution based on your specific context.

Technical Context

Technical Complexity Medium
In-House AI Expertise Some

Business Requirements

Competitive Differentiation Need Moderate
Time to Market Pressure Moderate
Data Sensitivity Medium
Available Development Time 6-12 months

Resource Constraints

Risk Tolerance Moderate

Recommendation

BUILD
Confidence: 85%

Decision Factors Analysis

Key Insights

    How We Calculate Recommendations

    This analyzer evaluates seven critical factors that influence build vs buy decisions in real AI implementations:

    • Use Case Maturity – Commodity solutions favor Buy; unique needs favor Build
    • Technical Complexity vs Expertise – Gap between requirement and capability
    • Strategic Differentiation – Core IP and competitive advantage weigh toward Build
    • Time to Market Pressure – Urgency typically favors proven solutions (Buy)
    • Data Sensitivity – Compliance requirements and data residency constraints
    • Budget Constraints – Total cost of ownership over 3 years
    • Risk Tolerance – Organizational appetite for technical and execution risk

    Note: This recommendation is based on general heuristics. Every organization has unique constraints. Use this as a starting point for deeper analysis, not a final decision.

    🔒 Privacy: All calculations run in your browser. We don't store or transmit your inputs.