Business of AI · Gallery
Vendor Evaluation & Risk Monitor
SIMULATEDVerified Jul 2, 2026The scorecard picks a winner — but move the weights and watch it change. That fragility is why the risk view matters: concentration and exit cost tell you what it costs to be wrong.
Same instrument · three industries — pick a use-case to reconfigure the run
Weights
Open-source-backed
Top pickPortable, cheaper, thinner support.
Specialist
Best-in-class capability, narrower surface.
Hyperscaler
Broad platform, deep integration, real lock-in.
Top pick: Open-source-backed — exit cost $90k
Steering-committee takeaway: The scorecard picks the vendor; the concentration view tells you what it costs to be wrong.
How this is built
Weighted score = Σ(weight × criterion score) ÷ Σ(weights), so weights are relative and always normalize to 100%. Lock-in and price are scored so higher = better (less lock-in, better value).
Risk view pairs each vendor with concentration (spend share if primary), renewal window, and exit cost (tracks lock-in). Stack: Next.js (static) + shared design system; client-side.
Limitations: vendor scores are archetype illustrations, not a live evaluation; real scoring needs POCs and reference checks. It exposes ranking fragility and exit exposure, not a procurement verdict.