AI registry with risk classification and gap analysis
In the process, we also identify your current AI governance maturity level and conduct an inventory of AI use cases within your company.
As your trusted partner, we guide you through the complexities of AI regulation
Insufficient expertise and the lack of standard methods make the legally compliant implementation of the EU AI Act challenging.
Without centralized management, uncontrolled AI functionalities emerge, and cross-departmental requirements remain unclear.
Limited capacities and tight deadlines lead to liability, cost, and reputational risks.
We analyze your specific challenges in implementing the EU AI Act – from lack of expertise and opaque requirements to resource constraints. With tailored strategies, we ensure legally compliant and efficient implementation that minimizes risks and optimizes processes.
Clear roles, standardized review steps, and streamlined approval processes reduce your manual review and documentation efforts, uncover hidden AI functionalities, and bridge gaps between departments, compliance, and IT. This enables you to meet all EU AI Act obligations early, gain the trust of customers, employees, and regulatory authorities, and accelerate your time-to-market for AI use cases. The improved quality, user acceptance, and business impact of your AI applications can increase by up to 50%. In this way, regulatory requirements become a driver of sustainable value creation.
We begin with a compact impact assessment, capturing all AI systems including their risk categorization, from which we derive specific obligations, your concrete governance target model, and a quick-win roadmap. Building on this, we design competency and role models, transparent escalation and approval pathways, as well as practical training sessions, while ensuring all controls are documented in an audit-proof manner. Finally, we integrate the measures into existing processes and applications, support the implementation until audit readiness, and ensure sustainable, regulatory-compliant AI governance.
In the process, we also identify your current AI governance maturity level and conduct an inventory of AI use cases within your company.
Here, a process and escalation map is also developed.
We analyze the gap between the current and target state to identify action areas and create an implementation plan for achieving compliance.
We support the integration of innovative tools for automated monitoring and management of your AI policies to enhance compliance and efficiency.
We begin with a compact impact assessment, capturing all AI systems including their risk categorization, from which we derive specific obligations, your concrete governance target model, and a quick-win roadmap. Building on this, we design competency and role models, transparent escalation and approval pathways, as well as practical training sessions, while ensuring all controls are documented in an audit-proof manner. Finally, we integrate the measures into existing processes and applications, support the implementation until audit readiness, and ensure sustainable, regulatory-compliant AI governance.
In the process, we also identify your current AI governance maturity level and conduct an inventory of AI use cases within your company.
Here, a process and escalation map is also developed.
We analyze the gap between the current and target state to identify action areas and create an implementation plan for achieving compliance.
We support the integration of innovative tools for automated monitoring and management of your AI policies to enhance compliance and efficiency.
We begin with a compact impact assessment, capturing all AI systems including their risk categorization, from which we derive specific obligations, your concrete governance target model, and a quick-win roadmap. Building on this, we design competency and role models, transparent escalation and approval pathways, as well as practical training sessions, while ensuring all controls are documented in an audit-proof manner. Finally, we integrate the measures into existing processes and applications, support the implementation until audit readiness, and ensure sustainable, regulatory-compliant AI governance.
In the process, we also identify your current AI governance maturity level and conduct an inventory of AI use cases within your company.
Here, a process and escalation map is also developed.
We analyze the gap between the current and target state to identify action areas and create an implementation plan for achieving compliance.
We support the integration of innovative tools for automated monitoring and management of your AI policies to enhance compliance and efficiency.
AI governance refers to the strategies, policies, and mechanisms that guide and regulate the development, deployment, and operation of AI systems. This framework is designed to ensure that AI technologies are developed and utilized in an ethical, secure, transparent, and responsible manner. It encompasses considerations such as data protection, security, fairness, bias, transparency, and the overall impact of AI on society and the economy.
AI governance also includes the establishment of standards and best practices for AI research, development, and application to foster innovation while protecting public interests and rights. Effective AI governance is essential for minimizing risks and maximizing the benefits of AI.
Effective AI governance provides the foundation for transparency, trust, and security in the development and use of AI systems. Organizations that operationalize these aspects can achieve significant improvements, according to Gartner – with a 50% increase in acceptance, the achievement of business goals, and user adoption of their AI models.
This highlights the strategic advantage of comprehensive AI governance: it not only ensures compliance with legal frameworks and protection against risks but also optimizes the performance and potential of AI technologies within the company, drives innovation, and strengthens trust among all stakeholders.
Companies must act quickly to comply with the requirements of the upcoming EU AI Act. Depending on the risk classification of the AI use case, there are 6 to 24 months available to achieve compliance. Additionally, further industry-specific regulations are expected. This emphasizes the urgency of addressing AI governance early, avoiding technical debt, and taking proactive action to prevent being caught off guard by future regulations.
At TRUSTEQ, we prioritize close and collaborative partnerships with our clients to develop practical AI governance solutions or enhance existing approaches. Our flexible methodology allows us to tailor our efforts to the specific needs of each client. Through joint workshops, we work together to create the optimal solution for each company and provide implementation support to ensure that AI governance initiatives are seamlessly integrated into existing processes and deliver measurable value.
TRUSTEQ offers a comprehensive portfolio of AI governance services to support companies in the development and implementation of effective governance strategies. This includes the creation of AI strategies, conducting compliance assessments, setting up AI registries, and developing tailored governance frameworks.
We enhance existing approaches to increase the maturity level of your AI initiatives and ensure compliance. Additionally, we provide training to prepare your team for regulatory challenges, analyze the impact of AI governance on your organization, and support operationalization with innovative tools.
Explore our TRUSTEQ Compliance Accelerator or take a look at our other offerings within the Artificial Intelligence pillar
To the Artificial Intelligence pillarOur AI governance experts will reach out to you for an initial consultation. Together, we will discuss the current state of your company and identify potential areas for action. We will present the services we offer and the results you can expect.
We look forward to partnering with you on the journey toward a forward-looking AI governance strategy.
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