Attempt RAW@AI, most likely the very best threat administration AI assistant on the planet RISK-ACADEMY Weblog

RAW@AI provides threat administration and quantitative threat evaluation assist that can assist you make knowledgeable choices. Our AI-powered set of instruments simplifies complicated threat administration duties, saving you effort and time. RAW@AI can do your analysis, determine dangers, write good threat descriptions, break down complicated dangers and counsel mitigations, write threat administration insurance policies, quantify dangers and run monte carlo simulations, create agenda for threat interviews and workshops. Extra performance is added each month.

RAW@AI was named finalist in FERMA Threat Administration Awards 2024! Get knowledgeable insurance coverage recommendation and handle dangers effectively with RAW@AI.

RAW@AI – That is our major assistant for answering common threat administration questions, offering steering on methodologies, threat identification, quantitative threat evaluation, and conducting analysis. It’s targeted on selling decision-centric threat administration (RM2) and leveraging neuroscience, chance idea, and sensible case research to assist decision-making processes. You need to use this assistant to dive deep into strategy a threat from a enterprise decision-making standpoint, or for recommendation on apply quantitative strategies to real-world issues or combine threat based mostly considering into procurement, operations or some other enterprise course of.

Establish Dangers – This instruments can determine dangers related to you resolution, contract or challenge based mostly on the context you present, trade and placement. The mannequin has been pre-trained on 3 out of 20 potential threat identification strategies that present greatest efficiency for AI threat identification.

Threat Description Generator – This device assists in creating detailed threat descriptions to be used in reviews, choices, or for particular enterprise circumstances. It helps guarantee your descriptions replicate precise loss occasions, determine root causes, present historic incidents and references.

Threat Mitigation Generator – This device helps you break down every threat into potential root causes and determine potential mitigation methods together with actual life case research. Use this device brainstorm threat mitigation methods earlier than you converse to threat house owners.

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Threat Coverage Generator – This device helps generate threat insurance policies which might be aligned together with your group’s aims and compliant with ISO31000 and COSO ERM​. It ensures insurance policies are built-in into present enterprise processes, making threat administration a important and actionable a part of decision-making. Use this device to create or refine your group’s threat administration coverage, making certain it’s clear, documented, and linked to decision-making processes.

Listed below are some sensible ideas and methods for prompting successfully throughout the context of decision-centric threat administration:

• Ask questions such as you would to a junior threat supervisor: Begin with easy, clear questions, then comply with up for extra particulars or clarification. If the preliminary response lacks depth, ask for additional clarification or specifics.
• Don’t accept the primary reply: If the primary response isn’t helpful or thorough, preserve probing. Observe up with particular requests for knowledge, examples, or different views.
• Reframe the query if wanted: If the AI gives a repeated or irrelevant response, attempt rephrasing the query or including extra context to information the reply towards what you want.
• Present context: The extra background you give, the higher the solutions will likely be. Context concerning the resolution, assumptions, or the precise enterprise space can drastically enhance the relevance of the response.
• Be express about decision-making wants: Specify what you’re on the lookout for—whether or not it’s assumptions, situations, potential outcomes, or threat impacts—slightly than anticipating a broad or obscure response.
• Problem obscure responses: If the response is just too generic, ask for particular metrics, numbers, or case research. Don’t hesitate to push again on responses that don’t add actionable worth.
• Power a deeper dive: Use prompts like “What are the important thing assumptions behind this?” or “Clarify the reasoning behind this suggestion.” This encourages a extra detailed and considerate response.
• If the AI repeats solutions, redirect the query: If the dialog appears caught, attempt a unique angle or explicitly ask for brand spanking new data that hasn’t been addressed earlier than.
• Ask for examples: To make clear summary ideas or recommendation, ask for real-life examples or case research to make the response extra sensible and actionable.
• Use iterative prompting: Begin with a high-level query and progressively drill down. For instance, after getting a fundamental reply, ask for “the following degree of element” or “further elements which will have an effect on the result.”
• Preserve give attention to the choice: When the AI begins giving theoretical responses, redirect the dialog again to the sensible resolution you’re making.
• Be affected person and protracted: Typically it takes just a few rounds to get the proper response, particularly on complicated threat administration matters. Don’t be afraid to ask once more.

 

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