CIRMP

Russian products that incorporate domestic and global statistics, international and Russian expertise

Tools for modeling, forecasting, monitoring and responding to a shifting range of challenges and tasks

Modern tools for end-to-end risk analysis of many different processes in real time

Applied solutions for improving efficiency, productivity and reducing unplanned costs and losses

CIRMP
project goals

Global

Strategic planning
Reducing threats and their negative consequences for economic sectors
Forecasting economic efficiency
Visualization of information for bodies charged with monitoring and decision-making
Forecasting and accounting of external-impact factors (both natural and man-made) on infrastructure facilities

Local

Modeling and forecasting natural events and their impact on transport and production chains
Identifying bottlenecks and planning mitigation measures
Identifying cross-cutting risks in the production management system
Reducing industrial accidents
Reducing unplanned losses
Improving control over budget adherence

CIRMP
Project tasks

Building a comprehensive digital ecosystem:

Identification, analysis, management of various types of risks, including technical and operational, logistical, contractual, commercial, financial, environmental risks and the most unpredictable – human factor risks
Digitalization, incorporation and implementation of many years of accumulated statistical data: engineering survey materials, substantiation of territorial planning schemes, urban development support systems, insurance event databases, etc.

Development, implementation and introduction of mathematical models, algorithms for predicting consequences, situation modeling, methodology, and regulations for risk management
Integration of centers of expertise for different types of risks

Unique experience and competencies of CIRMP project team

200+
BLN USD

volume of insured risks under the management of the project team

leading position in the market

500+
BLN USD

volume of assets for which a comprehensive risk assessment has been carried out

comprehensive
expertise

25+ YEARS of experience

in collection and systematization of data on risks, incidents and engineering surveys

fundamental statistics

50+
BLN USD

volume of tracked assets and their risks in complex production chains of enterprises

deep process penetration

Key features

Collection and maintenance of up-to-date domestic and global statistics, applying modern mathematical techniques, and using top-level expertise allow us to create a unique ecosystem

Continuously developing distributed resource for information analysis and processing

Comprehensive digitalization of the risk space – a living digital model of the entire diversity of processes and objects

Integration of centers of expertise for various types of risks and documentation databases

Compliance with recommendations of ISO 31000:2018 and COSO ERM 2017

100% domestic solution

A single end-to-end risk management process within the digital ecosystem

Possibility of integrating the contour of risks that are external in relation to the subjects/objects within the enterprise

Mathematical modeling and forecasting of risk situations and the consequences of their occurrence

Control and monitoring of a wide range of risks, risk factors and measures to manage them in real time

Accounting for inter-dependencies and the impact of risks on all relevant processes

Modules of the digital ecosystem of CIRMP PROJECT

a wide range of solutions and tools for digitalization of processes for effective risk management, forecasting and modeling of incidents, for analysis and support of decision-making

Risk Management System

Collection, analysis, processing, control and monitoring of risks

Digital Geographic Model

Data visualization in relation to map layers

Digital Twin

Data on a real-world object that has undergone the digitalization procedure

Production Chains

End-to-end manufacturing process risk management

Artificial Intelligence

Imitation of human intelligence through embedded machine learning algorithms, neural networks and available data

Parametric Core

Building up business processes, control over algorithms, and performing general functions

Business Intelligence

Visualization of analytical data, ad-hoc reports

Account Profiles

Personalized and level-/role-based access to data management, queries and applications availability

Digital
Geographic
Model

Interactive map of natural hazards

Assessing the impact of major natural hazards, as well as risks of terrorism, war and epidemics, on assets and supply chains

Real-time alerts on natural events threatening assets or supply chains

Interactive map allows:

Gain insight into how global events and disasters may impact an organization's assets and supply chains
Assess the exposure of an organization's assets to natural risks
Improve the effectiveness of investment decisions taking into account natural risk factors

Modeling of natural risks

Modeling potential progress of natural disaster scenarios taking into account the terrain

Surge
Tsunami
Flood
Mudflows / landslides
Natural fires

Environmental risks

Analysis and assessment of potential impact on the environment taking into account:

Features and characteristics of the organization's assets: hazardous facilities, use of hazardous substances, availability of protection and preventive measures
Terrain
Climate characteristics

Climate and weather models

Modeling climate change and natural risks

Modeling the impact of an organization's assets on the climate, taking into account their characteristics:

Emissions and other impacts on the environment
Presence of measures aimed at preventing and minimizing negative impacts on the environment
Terrain
Climate characteristics

Forecasting

Forecasting the risks of natural disasters based on multifactor analysis

Key advantages of the CIRMP project

Owners and Shareholders

Increased transparency and digital maturity
Improved asset management efficiency
Risks minimization and capital protection
Improved resource-use efficiency

Top management

Monitoring key parameters in real time
Holistic view of the risk space
High-quality information for decision making
Risk-oriented decision-making system
Digital speed of risk communication

Risk management

Automated risk management system
Digital models of the production chain and digital profiles of industrial facilities
Digital quality of risk identification, analysis and assessment
Access to high-quality information and best practices

Heads of functional units

Digital level of control and monitoring of all relevant parameters in real time
Access to high-quality information and best practices
Access to global analytics and statistics

Line managers

Ability to declare risks and necessary additional measures
Convenient automated system for working with risks

Digital ecosystem for
controlling risks and
business solutions