Strategic vendor analysis
Build vs. Buy Decision Framework for Enterprise AI
A gated interactive wizard to support enterprise AI leaders in evaluating custom development against commercial AI platform purchases. Tailor your decision with detailed enterprise inputs and gain data-driven recommendations.
Enterprise AI initiatives require careful strategic planning to balance costs, time-to-market, and long-term scalability. This interactive framework helps senior practitioners and platform engineering leads assess whether to build AI capabilities internally or procure from third-party vendors.
By inputting specific organizational, technical, and operational factors, users receive tailored guidance aligned with current industry benchmarks and cost structures.
Inputs
Select the option that best describes your organization's AI capabilities
Count full-time equivalents actively developing AI solutions
Include staff, infrastructure, purchase, and maintenance costs
Result
((ai_team_size * 2) + (case time_to_market_priority == 'high' then -3 else if time_to_market_priority == 'medium' then -1 else 0)) + (customization_need == 'high' ? 3 : customization_need == 'moderate' ? 1 : -1) + (existing_vendor_relationships == 'none' ? 1 : -1) + (budget_constraint < 1000000 ? -3 : 0) + (data_governance_requirements == 'high' ? 3 : 0)Your inputs suggest commercial AI platforms offer faster ROI and lower risk given your constraints.
Caveat
This framework provides directional insights based on common industry metrics. Enterprises should complement this with vendor evaluations and internal capability audits.
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