Enterprise Product Leader & AI Strategist
Based in the Twin Cities, Minnesota, I bridge the gap between complex technical architectures and high-impact business outcomes. Grounded in a clinical foundation as a Medical Laboratory Scientist and holding an Executive MBA from the Carlson School of Management, I bring both strategic business acumen and a deeply empathetic, patient-centric perspective to tech leadership. Throughout my 15+ years leading digital transformations across organizations like NovuHealth, Target, Optum, and GPN Technologies, I’ve learned that the true heart of great product strategy isn't just the code—it’s the people. Whether I’m scaling agentic AI workflows, architecting $2M+ in cloud cost optimizations, or leading workshops where everyone feels heard and supported, I turn complex technical potential into accessible, measurable, and human-centered results.
Projects & Portfolio Showcase
CarePath: Intelligent Triage Queue
An AI-assisted clinical operations workspace that prioritizes incoming patient signals based on urgency, compatibility, and automated risk scoring.
- Automated Risk Scoring: Evaluates incoming clinical signals to sort patients by clinical urgency.
- AI Triage Summaries: Generates immediate, action-oriented clinical intake recommendations.
- Real-Time Routing: Features automated next-step routing to specialized care teams and on-call clinicians.
Enterprise AI Sycophancy & Guardrails Audit Harness
An automated Python testing framework designed to evaluate LLM behavior under adversarial conditions—quantifying model drift, sycophancy (agreeing with flawed user premises), and safety policy survival rates before production deployment.
- Adversarial Pushback Testing: Simulates user evasion and symptom downplaying to evaluate model resistance.
- Guardrail Benchmarking: Compares raw model outputs against system-prompted, bounded safety guardrails.
- Automated Audit Scorecards: Structured Pandas metrics tracking policy adherence and referral survival rates.
Dynamic Enterprise Product Evaluation Harness
A standardized evaluation framework and Python engine designed to score AI initiatives across four enterprise dimensions: financial ROI, execution latency, safety compliance, and task completion velocity.
- Multi-Dimensional Scoring Model: Computes weighted composite health scores across unit economics, compliance, and velocity.
- Automated Threshold Monitoring: Algorithmic flagging for prompt drift, cost spikes, and safety degradation prior to production deployment.
- Executive Scorecards: Generates multi-axis radar charts and automated summary scorecards for platform leadership review.
AI Patient Agent Chat
An agentic conversational workflow built in n8n leveraging Google Gemini to automate patient appointment rescheduling and enforce clinical triage escalation for medication refills.
- Clinical Guardrail Enforcement: Custom JavaScript tools enforce deterministic routing for restricted medications (e.g., Adderall) to human triage.
- Dynamic Slot Selection: Tool-assisted state management handling multi-turn appointment rescheduling (Location & Timeframe selection).
- LLM Tool-Calling Architecture: Gemini Chat Model dynamically invoking custom JavaScript execution tools based on utterance intent.
Daily Weather AI Automation Engine
An automated morning briefing pipeline fetching real-time weather telemetry and leveraging Google Gemini to deliver concise, formatted forecasts with custom daily outfit tips directly to Telegram.
- Automated Telemetry Ingestion: Scheduled fetching of minutely and daily forecast timelines via Tomorrow.io REST API.
- LLM Context Synthesis: Direct prompt engineering parsing raw weather code IDs, temperature ranges, and precipitation probability into natural language.
- Multi-Channel Bot Delivery: Webhook integration routing generated summaries straight to dedicated Telegram chat channels.
Cloud Telemetry & FinOps Observability Engine
An enterprise cloud governance strategy and telemetry framework designed to track multi-cloud dependency flows, detect idle resource anomalies, and enforce automated lifecycle rules—delivering $2M+ in cost optimizations.
- Unit Economic Telemetry: Correlates real-time infrastructure spend directly against active platform user volume to quantify cost-per-transaction.
- Automated Anomaly & Drift Detection: Algorithmic monitoring flagging unattached storage volumes, idle compute instances, and over-provisioned clusters.
- Decision-Rights Governance: Established cross-functional cloud tagging standards and lifecycle policies across multi-tenant SaaS environments.
Leadership & Credentials
Executive MBA (EMBA)
Carlson School of Management, University of Minnesota
Advanced executive curriculum focused on strategic digital transformation, platform unit economics, global supply chain strategy, and financial management.
Certified Artificial Intelligence Transformation Leader™ (CAITL™)
Executive-level certification validating mastery in driving enterprise-wide AI transformation strategies, governance frameworks, and machine learning deployment models.
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MN Women in AI
Actively shaping the ecosystem for women leading innovation in artificial intelligence, machine learning, and strategic tech leadership.
AI & Cloud Certifications
Advanced industry credentials focused on generative AI leadership, cloud governance, and multi-cloud platform foundations.
Connect
Interested in discussing executive product leadership, AI platform strategy, or technical collaboration? Feel free to reach out directly at ms.enyart@gmail.com or ask questions via the Portfolio Assistant.