Challenge

Needed a scalable, AI-native operating system to manage strategy, delivery, and governance across multiple business pillars.

Approach

Designed and built a three-tier architecture (Claude AI + Notion + Google/Supabase) with automated health monitoring, balanced scorecard governance, and integrated project management.

Results

• 5 active business pillars running on one unified system
• Automated weekly health checks and governance reporting
• Full strategic alignment from OKRs to daily tasks

Challenge

Traditional PM tools lacked AI-driven insights, risk prediction, and lean governance capabilities.

Approach

Built a Next.js platform with Supabase and Vertex AI integration. Implemented earned value analysis, risk AI copilot, and executive dashboards.

Results

• Real-time project health scoring with AI-powered predictions
• Automated root cause analysis for delivery risks
• Executive-ready reporting with one-click generation

Challenge

Research activities were scattered across tools with no systematic way to track hypotheses, evidence, and insights.

Approach

Designed a universal research engine with hypothesis registry, evidence logging, and automated research program governance.

Results

• Structured research pipeline from hypothesis to validated insight
• Cross-pillar research visibility and knowledge reuse
• 12 active hypotheses tracked with evidence-based progression