AI-Strategy
A smart AI strategy makes a significant and clearly defined contribution to achieving business objectives. The AI strategy integrates seamlessly into the corporate strategy. Its high level of specificity helps increase revenues, reduce costs, or enable a technological leap.
The implementation of the AI strategy is based on governance firmly embedded in organizational structures and processes. Continuous AI monitoring ensures both the achievement of functional and business objectives for AI deployment and high technical performance. Full AI compliance is guaranteed.
All legal, regulatory, and internal company requirements are met. Key requirements in this context include the EU AI Act, IDW Audit Standard 861, the IDW Automated Tools and Techniques (ATT), GDPR, DORA and NIS2, as well as requirements from auditors, internal reviewers, and external auditors.
AI-Strategy – Value, Scope and Potential
Added Value and Content of the AI Strategy
A smart use of AI benefits the company. As a result, revenues are increased, costs are reduced or a technological leap is achieved. The outcome of our AI strategy consulting is concrete guidelines. Questions typically addressed in this context include: “Which objectives are achieved through the use of AI and how?”, “What is the scope of AI in our company?”, and “How are employees trained and informed?”
AI is designed and operated through organizational structures and processes. Efficient AI compliance ensures adherence to all regulatory requirements (e.g., EU AI Act), legal requirements (e.g., GDPR) and internal company policies. All AI systems are monitored through clearly defined measures and continuously further developed.
AI Potential and Business Case
This consulting service defines immediately actionable AI measures for the company and identifies the resulting potential. An example of this is a quality improvement and efficiency gain in accounting through the automatic detection of incorrect journal entries.
In sales, for instance, attractive new customers are identified based on behavior and managed according to their potential. Typically, the “AI Potential and Business Case” service focuses on a single business area.
AI Governance, Compliance and Monitoring
As part of our consulting service “AI Governance,” specific responsibilities for AI deployment are defined within the organizational structure and processes are established within the operational organization. Typically, the goal is not to create new positions but to expand existing competencies accordingly.
Documentation kept as brief as possible ensures transparency and traceability of AI systems and the processes they support. The effectiveness of the methods used is demonstrated through efficient and meaningful controls as well as evidence. Traceability and effectiveness are essential prerequisites for 100% AI compliance.
In this context, best practice measures regarding data protection and IT security for AI are designed and implemented. As a result, key requirements such as the EU AI Act, IDW Audit Standard 861, IDW Automated Tools and Techniques (ATT), GDPR, and DORA/NIS2 are fulfilled.
Through stringent AI monitoring, both the functional performance of AI methods and the technical performance of the AI systems in use are continuously monitored.
AI Security and Data Protection
The use of AI often comes with the highest requirements regarding confidentiality, secrecy, data protection and IT security. Ensuring confidentiality and secrecy requires careful selection and targeted training of the AI model. Typically, customer-specific AI solutions are used, where proprietary data is never used to train public AI models.
The use of personal data is always minimized. IT security measures in line with the state-of-the-art provide another crucial layer of protection. Key examples include network segmentation, tenant separation, strict access management (“least privilege”) and strong encryption mechanisms including key rotation.
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