RSI supports clients in building comprehensive and structured risk inventories, tailored to sector-specific frameworks. It uses standardized templates, taxonomies, and stakeholder input to ensure coverage and relevance. RSI’s inventories are designed for integration into ongoing risk governance and decision-support systems.

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 designs and moderates recovery planning workshops that balance immediate needs with transformational opportunities. Its facilitation helps align short-term actions with long-term risk reduction and system reform. RSI documents and translates outcomes into recovery plans that are politically feasible, socially supported, and technically grounded.

RSI applies probability distribution fitting to support Monte Carlo simulations, reliability modeling, and uncertainty propagation. Its analysts validate assumptions using diagnostic plots and statistical criteria, ensuring that modeled variability accurately reflects real-world uncertainty. This method underpins RSI’s quantitative modeling strength.

RSI assists in developing and conducting incident investigations that balance technical rigor with organizational learning. Using root cause analysis, fault tree methods, and human factors assessment, RSI helps clients uncover underlying causes and system vulnerabilities. RSI emphasizes a non-punitive, evidence-based approach that supports safety culture and continuous improvement.

RSI facilitates risk framing workshops to help clients sharpen assessment objectives and anticipate stakeholder concerns. Its moderators use scenario prompts, structured dialogue, and evidence mapping to guide participants toward a shared framing. RSI ensures that outcomes are documented and operationalized in subsequent analytical or policy work.

RSI uses process mapping to inform both technical assessments and organizational diagnostics. Whether tracing the flow of regulatory submissions, laboratory testing, or data management, RSI identifies bottlenecks and points of vulnerability. Its visual and narrative outputs support both internal insight and external communication of system dynamics.

RSI develops crisis plans across sectors, integrating risk analysis, stakeholder roles, and communication components. The firm tests these plans through table-top exercises and scenario simulations. RSI focuses on both strategic and operational readiness, ensuring that organizations can make decisions under pressure and recover efficiently.

RSI applies chemical exposure modeling in regulatory, industrial, and public health contexts, using tools like ConsExpo, RAIDAR, and bespoke models. Its scientists ensure exposure scenarios are grounded in realistic behaviors and population data. This method underpins RSI’s toxicological and ecological risk assessments and is often combined with hazard data to complete full risk profiles. RSI emphasizes transparency and defensibility in modeling choices to support credible decision-making.

RSI develops simulation models that capture the complexity of risk-related systems, drawing on subject matter expertise, empirical data, and stakeholder input. Its models are designed to inform strategic planning, regulatory decisions, and operational readiness. RSI emphasizes transparent assumptions and usability for both technical and non-technical audiences.