Just getting started with AI? We can provide information on the risks an organization needs to address to  be AI ready. We do this by assessing the current and desired levels of AI maturity. We then perform a risk  and gap assessment to establish the as-is AI maturity level. Based on the as-is maturity level we provide a high level report of the artificial intelligence readiness of  your organization categorized into three main domains: people, processes and technology. The readiness  assessment will be the input to establish an AI strategy.

Find out how your organization can leverage the power of AI. The Technology and digital risk team offers  the opportunity to brainstorm about the roles and risks of AI within your organization together with our  experts in the field. We will discuss your business and processes and identify potential AI related risks.  We will then help you develop a risk control framework and look for program and project investments  which can create value within your organization by using this framework.

When your AI processes have been implemented, there are still a great deal of risks to overcome. These  can range from IT and cyber security as well as compliance and ethics. We can help you gain assurance  over the implemented IT and business cycle controls with relation to AI. We assess controls related to  identity and access management, data integrity, IT operations & processes and  business continuity. Based on this assessment we provide recommendations to improve your AI control  framework to increase the level of artificial intelligence maturity within your organization.

To determine the AI strategy, it is crucial to have an objective source of information comparing the  current maturity level to similar organizations in the market. Using comparative AI Risk studies in  combination with the risks and opportunities identified during the readiness assessment, we help the  organization in the development of the automation strategy.

When the AI strategy has been defined and/or the AI processes and risk control frameworks have been  designed and/or implemented, Dots Analytics can help in both the risk evaluation of the existing AI systems and  processes as well as develop new AI solutions to support the strategy. A couple of example domains where  Dots Analytics has built expertise  are the following: Prototyping – Explainable AI – Bias and Ethics risk assessments – Data anomaly and risk detection – Table extraction  All of these solutions are designed to help you discover new ways of leveraging AI in your organization or  improve the maturity of already existing processes.