Translating AI Complexity Into Trusted Enterprise Decision Systems
I design AI-assisted operational systems that help enterprise teams interpret complex signals, make faster decisions, and operate with greater trust and clarity in high-volume environments. My work focuses on explainability UX, enterprise decision workflows, investigation systems, and AI-assisted operational experiences that improve execution speed, workflow efficiency, and adoption across complex platforms.
I specialize in:
• AI-assisted operational workflows
• Explainability and trust UX
• Enterprise decision systems
• Investigation and risk-analysis experiences
• Workflow acceleration for high-volume operational teams
Impact includes:
• Reduced investigation and response time
• Improved operational workflow clarity
• Increased adoption of AI-assisted systems
• Stronger trust in AI-driven recommendations
• Improved cross-functional execution efficiency
Previously: Apple, Cisco, PwC, ADP, MGM, City National Bank
AI Decision Systems — Selected Work
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Gurucul
Redesigned SOC workflows into AI-assisted investigation systems, improving analyst speed and decision clarity.
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Cisco
Unified network and security telemetry into AI-assisted operational decision systems for enterprise infrastructure teams.
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SecureAI
Designed explainable AI workflows improving analyst trust, response clarity, and operational decision confidence.