Ideas, Case Studies, and Real-World Applications
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Building reusable scenario sets to evaluate resilience and communicate risk to executives

Enterprise risk isn’t static — it builds, feeds back, and unfolds over time. System dynamics modeling reveals the hidden structures behind risk propagation, helping organizations anticipate threats, optimize mitigation strategies, and build long-term resilience.

Hospitals often overextend expert physicians on routine consultations, leading to burnout and care delays. Our system dynamics approach helps healthcare leaders simulate interventions, optimize staff allocation, and improve patient flow—before making costly changes.

We help leaders forecast the ripple effects of Olympic-driven growth in Utah by modeling skier demand, regional economics, and community impact. Now leaders can make strategic, data-informed decisions with confidence.

Forecast errors don’t just lead to missed arbitrage — they can trigger compounding operational risk across battery assets and energy portfolios. System dynamics modeling reveals how trust, timing, and strategy interact to shape long-term performance under uncertainty.

Front Analytics partnered with Cedar Heights to design and implement a custom AI-powered scheduling solution. The result was a more efficient, resilient, and transparent scheduling process that significantly improved outcomes across the board.