3Risk Assessment

Allow Beehive's AI to assess applicable risks and opportunities for your organization, benchmark against peers, generate draft disclosures for your TCFD and IFRS S2 reporting frameworks, and complete

Navigating climate-related financial disclosures is a complex but essential responsibility for modern organizations. By leveraging Beehive’s AI to assess climate risks, benchmark against peers, and conduct comprehensive Scenario Analyses, compliance can be achieved quickly and efficiently. This streamlined approach allows for accurate, competitive, and actionable TCFD and IFRS S2 disclosures, empowering your business to build resilience in a rapidly evolving regulatory landscape.

Beehive's risk assessment capabilities are realized via the following modules:

  • Risk Identification: AI-powered risk assessment for identifying transition risks, opportunities, and physical risk and and for industry benchmarking.

  • Scenario Analysis: AI-powered NFGS-aligned scenario analysis to identify transition risks and opportunties across various climate scenarios.


Risk Identification

The Risk Identification module allows users to utilize AI-powered features to identify transition risks, physical risks, and opportunities for an organization and draft disclosures for TCFD and IFRS S2 reports. Users input company details, relevant documents (e.g., ESG reports, 10-K reports), industry peers (for industry benchmarking), and any additional context. From the information, Beehive's AI will automatically generate risks and opportunities for your organization.

An overview of the Risk Identification module is provided below:

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Scenario Analysis

Beehive's platform allows for AI-powered NFGS-aligned scenario analysis to identify transition risks and opportunties across various climate scenarios. Users must select the relevant scenarios (e.g., "Net Zero 2050", "Current Policies", etc.), and Beehive's AI contextualize risk and opportunities across the various scenarios. Users must select at least two scenarios for comparison when using this module.

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