A new study suggests the risk management software market is embracing AI gradually, prioritising fundamentals like usability and data consolidation before fully integrating advanced predictive tools.
Risk management software is adding more artificial intelligence features, but a new study from French industry body Amrae suggests the market is still at an early stage of that transition.
The latest RMIS Panorama report, produced with EY, points to growing demand for risk management information systems across organisations of different sizes, with software-as-a-service now the dominant delivery model. The survey, which drew on views from risk managers in dozens of countries and a wide range of vendors, also found that implementation periods are getting shorter and user satisfaction is improving, with average satisfaction now reported at 89%.
Yet the report also implies that the technology is not keeping pace with the ambitions surrounding AI. While vendors are increasingly promoting automated analysis, predictive tools and decision support, the market remains focused on fundamentals such as usability, reporting and data consolidation. In the earlier AMRAE-FERMA survey, respondents said the main benefit of an RMIS was reducing the time between collecting data and analysing it, while easier information sharing across business units was another key advantage.
That pragmatic emphasis helps explain why AI is being welcomed, but cautiously. KPMG has separately reported that 400 executives surveyed view AI and generative AI as the most popular technologies for taking on additional risk-management responsibilities over the next three to five years, and 98% of respondents said digital acceleration had improved how they identify, monitor and mitigate risk. Even so, the RMIS market appears to be moving in measured steps rather than through a wholesale reinvention.
The latest Verdantix review of RMIS providers suggests the same pattern. Its 2025 assessment of five leading vendors examined areas ranging from data architecture and analytics to claims, incident and policy management, including whether products had AI-first design features. The breadth of those criteria shows how RMIS platforms are being judged not only on automation, but on whether they can stitch together increasingly complex risk data in a way that supports day-to-day decision-making.
For now, that may be the real story: AI is becoming part of RMIS, but the industry still seems to be proving that it can deliver the basics reliably before it fully sells itself on the future.
- https://www.commercialriskonline.com/risk-management-software-still-playing-catch-up-with-ai-finds-amrae/ – Please view link – unable to able to access data
- https://kpmg.com/us/en/articles/2025/ai-revolutionizing-risk-management.html – This article discusses how artificial intelligence (AI) is transforming risk management strategies. It highlights that AI, including generative AI and agentic AI, is driving significant changes in how organizations anticipate, assess, and act on risks. The piece references the KPMG Future of Risk Survey, which indicates that 400 executives consider AI and generative AI as the most popular technologies for managing additional risk responsibilities in the next three to five years. The article also notes that 98% of survey respondents believe digital acceleration, such as AI and advanced analytics, has improved their approach to risk identification, monitoring, and mitigation.
- https://corporater.com/resources/2025-rmis-panorama-by-ey-and-amrae/ – The 2025 RMIS Panorama report, published by AMRAE and EY, provides a comprehensive global overview of the Risk Management Information Systems (RMIS) market. It draws insights from 178 risk managers across 24 countries and 52 RMIS vendors, exploring evolving market dynamics, emerging technologies, and industry best practices. The report underscores the growing demand for RMIS solutions across organizations of all sizes, with Software as a Service (SaaS) emerging as the dominant delivery model. It also highlights how artificial intelligence is reshaping how risks are managed and predicted, with a surge in RMIS adoption, shorter implementation times, rising satisfaction scores (89% on average), and a strong focus on AI-driven insights to enhance decision-making and support Environmental, Social, and Governance (ESG) initiatives.
- https://kpmg.com/lv/en/insights/2026/03/ai-is-helping-revolutionize-risk-management.html – This article examines how artificial intelligence (AI) is revolutionizing risk management. It discusses the shift from traditional manual processes and backward-looking assessments to intelligent systems that learn, adapt, and act in real time. The piece references the KPMG Future of Risk Survey, which indicates that 400 executives rank AI and generative AI as the most popular technologies for managing additional risk responsibilities in the next three to five years. The article also highlights that 98% of survey respondents believe digital acceleration, such as AI and advanced analytics, has improved their approach to risk identification, monitoring, and mitigation.
- https://www.verdantix.com/client-portal/report/green-quadrant–risk-management-information-systems-rmis-2025 – The ‘Green Quadrant: Risk Management Information Systems (RMIS) 2025’ report offers a detailed, fact-based comparison of five prominent RMIS providers in the market. Using the proprietary Verdantix Green Quadrant methodology, the analysis includes live product demonstrations and vendor responses to a comprehensive questionnaire covering technical, functional, and market momentum categories. Capabilities were assessed across various categories, including AI-first database, AI operations, data acquisition and architecture, data management, configuration, user interface, claims administration, claims risk and legal management, incident management, policy and insurance management, risk and exposure data management, and risk analytics and modelling.
- https://www.anra.it/article/2202/i-risk-manager-e-i-sistemi-rmis-l-indagine-di-ferma-e-amrae – This article discusses the results of a survey conducted by AMRAE in collaboration with FERMA on the use of information systems for risk management. The survey, which included 570 respondents from 36 countries, highlights the main advantages of using an RMIS, such as optimizing the time between data consolidation and analysis, and improving information sharing across business sectors. The article also notes that the majority of respondents consider ease of use and effective reporting functionalities as key criteria when selecting an RMIS. Overall, the average satisfaction level of risk managers with RMIS platforms remains stable at 71%, similar to the previous year.
- https://crisam.net/en/news/rmis-panorama/ – This article highlights CRISAM®’s performance in the 15th edition of the Risk Management Information System (RMIS) Panorama report, published by AMRAE and Ernst & Young (EY). The report is a comprehensive analysis of market practices based on a survey of 249 risk managers from 36 countries and 51 manufacturers. The article emphasizes the increasing interconnection of risk management across different business units, geographical areas, and risk types, and underscores the importance of RMIS as a functional and management tool for identifying and assessing risks and determining an organization’s exposure.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article was published on May 7, 2026, making it current and timely. No evidence of recycled or outdated content was found.
Quotes check
Score:
8
Notes:
The article includes direct quotes from the Amrae report. While the exact wording matches the report, the absence of direct links to the original source raises concerns about verification. The quotes cannot be independently verified without access to the full report.
Source reliability
Score:
7
Notes:
The article originates from Commercial Risk Online, a niche publication focusing on risk management. While it is a specialised source, its limited reach and potential biases may affect the reliability of the information presented.
Plausibility check
Score:
9
Notes:
The claims about the integration of AI in risk management software align with industry trends. However, the lack of independent verification and the reliance on a single source for these claims reduce the overall credibility.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article presents timely information but relies solely on a single, unverified source. The absence of independent verification and the lack of direct access to the original report diminish the overall credibility. Caution is advised before publishing.