How to Choose the Best AI Video Analytics Platform (10-Point Checklist)

10-Point Evaluation Checklist

The first five checkpoints focus on platform capabilities: align the platform to your business objectives by defining what success looks like and requiring at least good alignment on your primary goal. Assess AI and analytical capabilities including real-time detection accuracy (expect 90%+), behavioral analysis sophistication, multi-camera intelligence, and predictive learning capabilities. Evaluate architecture and deployment options to ensure cloud-native, on-premise, or hybrid support matches your needs. Assess integration capabilities, requiring native integrations for 80%+ of critical systems. Review compliance and regulatory support ensuring the platform meets your certification requirements. The remaining five checkpoints cover vendor evaluation: compare pricing and total cost of ownership across 5-year TCO, evaluate support and professional services availability, assess platform stability and vendor viability, request 3-5 customer references from similar organizations, and conduct a 4-8 week proof-of-concept in your environment.

Decision Framework and Scoring

Assign each checkpoint a score on a 0-10 scale and apply weights: Business Objectives (1x), AI Capabilities (2x), Architecture (1.5x), Integration (1.5x), Compliance (1x), Pricing (1x), Support (1x), Stability (1x), References (1x), and POC (2x). A total weighted score of 90+ means proceed to deployment. Scores between 75-89 indicate you should address concerns and consider proceeding with risk mitigation. Scores below 75 mean do not proceed and select a different platform. The comprehensive evaluation typically requires 8-12 weeks including requirements definition, vendor assessment and demos, proof-of-concept, and final decision.