RSI develops resilience metrics for clients across sectors, using stakeholder-informed frameworks and multi-dimensional indicators. Its teams validate metrics against scenarios and real-world events to ensure credibility. RSI helps integrate resilience tracking into ongoing planning, enabling adaptive management and continuous improvement.

RSI integrates vulnerability analysis into its community risk assessments and foresight work. Using composite indicators, geospatial data, and stakeholder input, RSI identifies priority groups or areas and recommends targeted interventions. The firm ensures that vulnerability findings inform both risk prioritization and strategy development.

RSI applies uncertainty propagation in its probabilistic risk models, supporting transparency and insight into the range and likelihood of possible results. RSI carefully documents input distributions, validates outputs, and interprets findings for decision contexts. The method helps RSI clients weigh risk-based decisions with a fuller appreciation of possible variation and confidence.

RSI provides regulatory readiness assessments for clients in chemical safety, biotechnology, and public health innovation. The firm benchmarks against relevant jurisdictional expectations and highlights critical gaps. RSI ensures that risk documentation is clear, complete, and formatted to facilitate regulatory engagement, reducing time to approval or endorsement.

RSI brings structured risk thinking and systems analysis to business impact forecasting in public and private sector contexts. Whether assessing the risk of supply chain disruption or reputational harm from safety failures, RSI builds scenarios informed by regulatory knowledge, empirical modeling, and stakeholder insight. Its cross-disciplinary team enables BIA outputs to reflect both technical risks and broader institutional implications—making this method valuable in complex risk environments.

RSI embeds message pre-testing into its communication design process. The firm develops prototypes and guides structured audience feedback loops. RSI ensures that messages meet comprehension thresholds, cultural appropriateness, and behavioral relevance—especially in high-risk or high-stakes contexts.

RSI has a long-standing practice of developing customized decision-support tools, ranging from exposure calculators to regulatory impact models. Its teams combine scientific modeling, user-centered design, and policy knowledge to ensure tools meet practical demands. RSI emphasizes transparency in model logic and documentation, allowing clients to maintain, audit, and explain tool outputs long after deployment. This method supports a range of Understanding Risk engagements and often bridges into risk management workflows.

RSI supports clients in defining and justifying acceptability thresholds that are scientifically sound and policy-relevant. The firm draws from regulatory precedents, stakeholder input, and empirical data to tailor thresholds to context-specific needs. RSI ensures that these thresholds are transparently documented and aligned with broader risk governance frameworks, improving the defensibility and clarity of management decisions.

RSI uses predictive modeling in public health forecasting, emergency preparedness, and scenario planning. It combines machine learning, regression models, and simulation approaches tailored to each risk domain. RSI emphasizes not only accuracy but explainability, ensuring that decision-makers can trust and act on the forecasts provided.

RSI supports clients in designing risk surveillance systems that are tailored, scalable, and grounded in decision needs. This includes indicator selection, threshold development, and integration with existing systems. RSI ensures that surveillance protocols are practical, scientifically valid, and usable across sectors and jurisdictions.