Success Stories
Architecture and IT consulting paired with IT project management for efficient cross-brand data exchange
Industry: Automotive | Period: 6 months Months | Team size: 2 consultants
New technologies and increasing compliance requirements are leading to a growing need for information, documentation and control. Traditional, manual and document-based frameworks are reaching their limits: redundant documentation obligations, opaque requirements and a lack of transparency are slowing down management and increasing risks. This is where artificial intelligence (AI) in IT governance comes in. Artificial intelligence and automated tools can be used to rethink governance processes, flexibly map security requirements and ensure sustainable compliance – in a user-centric, scalable and efficient manner. Our client uses the opportunities offered by digital, AI-based governance solutions to establish a completely new governance-as-a-service framework – true transparency across all IT services and systems.
Satisfied customers from SMEs and corporations
Challenge: Inefficiency, compliance risks and high complexity in IT governance
- Distributed responsibilities & redundant tasks:
The growing organization and unclear governance frameworks lead to duplicate documentation requirements, which slows down management and business services. - High manual effort and low data quality:
Without technologies such as artificial intelligence or RPA, routine processes cannot be automated – information and evidence often have to be maintained manually and risks arise. - Low transparency and controllability:
A lack of overview and standardized information make performance more difficult and increase compliance risks in terms of technology, security and organization. - Complex regulatory & security requirements:
Multiple frameworks and management requirements make the efficient mapping of security and compliance time-consuming and error-prone. - Lack of scalability and flexibility:
Traditional tools and solutions do not adapt dynamically to the company’s requirements – this limits the ability to innovate and manage risk.
Success Journey: Three steps to an AI-supported governance framework
01
Analysis & identification
of AI and automation potentials
of AI and automation potentials
A Group-wide as-is analysis was used to identify all process, compliance and technology requirements as well as automation opportunities in governance management.
This created clarity about interfaces, risks and the specific need for digital tools and intelligence.
02
Development of governance as a service & AI roadmap
A governance concept "Governance as a Service" was designed from the user's perspective, with a clear project structure, role model and automation-capable frameworks for management, information and security. The core of the set-up is a stringent, semantic data model
This resulted in a methodology for services and solutions that integrates seamlessly into business processes.
03
Piloting AI-supported automation & scaling
Prioritized quick wins and transformation topics were specifically initiated - including an implementation strategy for machine-readable, compliance-compliant documentation and data management.
A scalable roadmap and service bundling ensure a rapid rollout and sustainable governance.
Impact At Launch: The digital quantum leap - AI in IT governance for automated compliance and performance
- AI-supported, user-centric governance:
Governance processes and services are now digitalized and geared towards user needs - routine tasks are intelligently automated. - Efficient, machine-readable IT documentation:
Standardized frameworks and methods reduce the effort involved in providing evidence and ensure secure information across all systems and tools. - Improved transparency and compliance:
tool-supported data quality and automated rules provide an overview of the status, risks and compliance with regulatory requirements at all times, including in security management. - Rapid scalability and flexible transformation:
The process planning is scalable at work package level and enables dynamic adjustments for business and technology projects. - Reduced risks and optimized performance:
AI in IT governance ensures sustainable improvement - organizations can focus on innovation and business management.
Summary: Artificial intelligence as a success factor for IT governance and compliance
The “Governance as a Service” initiative shows how AI in IT governance is revolutionizing corporate management: Performance and transparency increase, risks and manual effort are reduced. The combination of artificial intelligence, automated frameworks and user-centric management is creating a new era of digital corporate governance. The success factor: a comprehensive understanding of compliance, security and process integration, coupled with scalable technology and tool solutions for sustainable innovation and efficiency.
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- Experience: 20 years of expertise in governance management for SMEs and enterprises.
- Compliance: Intelligent solutions for digitized, audit-proof documentation and security.
- Efficiency: Automation of all routine tasks in governance and information - less effort, better performance.
- Scalability: Frameworks that adapt flexibly to company and technology growth.
- Business impact: Sustainable reduction of risks and increase in service and management quality.
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