SCAI Assessment Platform

From Research Paper to Production Tool in 14 Days

Mustafa Suleyman, CEO of Microsoft AI, published a groundbreaking framework for assessing whether AI systems appear conscious. The framework identified 9 critical components spanning language, empathy, memory, self-awareness, and autonomy.

The Challenge

Teams knew about the framework but couldn't operationalize it. Abstract concepts like "subjective experience claims" and "sense of self" lacked concrete evaluation criteria. No tool existed to systematically assess AI systems.

The Solution

We translated the framework into an interactive assessment platform that teams can use in 20 minutes:

• 9-Component Assessment: Each component has concrete HIGH/LOW scoring examples
• Weighted Risk Algorithm: Autonomy weighted 2x higher (most dangerous), intelligent prioritization
• Dangerous Combinations: Automatic detection of high-risk component combinations (Memory + Subjective + Autonomy)
• Specific Mitigations: Actionable recommendations prioritized by severity for each risk area
• Production Quality: WCAG AAA accessible, mobile responsive, <1 second load time, zero external dependencies

Results

• Timeline: 14 days vs. typical 3-6 months internal development (85% faster)
• Cost: $25,000 vs. $200K-$500K internal resources (75%+ savings)
• Adoption: Zero framework adoption → 20-minute operational assessments
• Quality: Production-ready, immediately deployable, no training required

Technical Specifications

• Development Time: 14 days
• Lines of Code: ~1,200 (clean, maintainable)
• Dependencies: Minimal (jsPDF only)
• Accessibility: WCAG AAA compliant
• Performance: <1 second load time
• Browser Support: All modern browsers, mobile responsive

What Makes This Different

This isn't a consulting report or recommendation document. It's a working platform that teams deploy immediately. The SCAI platform demonstrates what's possible when frameworks are properly operationalized.