AI Vendor Evaluation Scorecard
A weighted scoring template for evaluating AI vendors and platforms across 8 dimensions: capability, scalability, security, support, pricing, integration, track record, and roadmap.
## AI Vendor Evaluation Scorecard
Use this scorecard to objectively compare AI vendors. Rate each dimension 1-10 and apply the suggested weights.
### Dimensions & Weights
| Dimension | Weight | Score (1-10) | Weighted | |-----------|--------|-------------|----------| | Technical Capability | 20% | _ | _ | | Scalability | 15% | _ | _ | | Security & Compliance | 15% | _ | _ | | Support & SLA | 10% | _ | _ | | Pricing Model | 10% | _ | _ | | Integration Ease | 10% | _ | _ | | Track Record | 10% | _ | _ | | Product Roadmap | 10% | _ | _ |
### Evaluation Questions per Dimension
Technical Capability: Does it solve your specific use case? Is the AI state-of-the-art? Can it handle your data types and volumes?
Scalability: Can it grow with your needs? What are the performance limits? How does pricing scale?
Security & Compliance: SOC 2? HIPAA? GDPR? Data residency? Encryption standards?
Support: Response time SLAs? Dedicated account manager? 24/7 support?
Pricing: Per-seat vs usage-based? Hidden costs? Contract flexibility?
Integration: API-first? Pre-built connectors for your stack? SDK quality?
Track Record: Customer references in your industry? Case studies with measurable outcomes?
Roadmap: Innovation pace? Alignment with your strategic direction?
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