Getting started with artificial intelligence
AI is evolving at a rapid pace – making it all the more important to establish a stable and future proof foundation today. However the absence of standards, lack of expertise and fast technological developments often leave its potential untapped.
Harness artificial intelligence as an opportunity with ODCUS
AI promises enormous potential, from more efficient processes and decisions driven by data to entirely new business models. Yet despite lofty ambitions many companies lack a clear strategic framework for effective AI implementation. All too often initiatives are launched in isolation without an overall data and AI strategy or the know-how required to build and embed it systematically.
Challenges
Experiences from numerous projects with companies and organizations across different industries have generally revealed similar or easily adaptable challenges.
Uncertainty about which use cases deliver sustainable value
Not every AI deployment delivers returns. Especially for complex initiatives, effort and costs are high, so it’s all the more important to conduct a structured screening to identify the use cases that promise the greatest value.
AI is often regarded only as isolated projects or experiments
Many companies lack a holistic AI strategy. Instead, isolated projects spring up or employees independently use AI tools in their daily work. This ties up resources unnecessarily and creates risks, such as uncontrolled data processing and missing governance.
No internal expertise in AI, data analysis or governance
Amid diverse use cases, technical constraints and questions around security and governance, companies without basic knowledge struggle to develop a solid AI strategy and appropriate guidelines.
Data is scattered, incomplete or not standardized
Before you can develop your own AI models or meaningfully connect existing solutions, you need a solid and well structured data architecture. If your data is incomplete, scattered or inconsistent, you lack the foundation for any application driven by data—from process automation and predictive analytics to AI.
Strategic technology projects compete with routine business operations
Strategic technology initiatives often fall behind in day to day operations where urgent tasks outweigh long term impact. Without clear prioritization and proper integration many projects lose momentum before their potential becomes apparent.
Lack of integration into existing processes
Many AI or IT initiatives remain isolated because they aren’t embedded in existing workflows and structures. Without process integration, no sustainable benefits emerge; instead, parallel worlds develop that drain efficiency and impede adoption.
Business units and IT lack an effective interface.
When IT and business units talk past each other, potential goes untapped. Without a common language, aligned goals and clear responsibilities, the connection between technology and business is missing—and that is exactly where real value is created.
Succeeding in the AI-era
With our expertise, we guide you through the strategic adoption of AI for a future oriented, data driven organization that recognizes potential and uses it sustainably.
Bring order to data chaos for innovation
Reliable AI begins with reliable data. Strong data governance provides structure, quality and accountability across the entire data ecosystem. We help you establish clear processes, define roles, rules and standards, and ensure that data is used securely, accessibly and with full trust. This transforms data silos into a valuable strategic resource.
AI needs direction, and randomness
Many companies experiment with AI, but few manage it strategically. We help you view AI not just as a technology, but as part of your corporate strategy. Together, we develop a clear vision, assign responsibilities, and establish binding guidelines for the ethical, legally compliant, and sustainable use of AI.
We test your AI readiness
Before introducing AI, you need clarity about your starting point. With our readiness assessment, we evaluate whether your organization is technically, culturally and structurally prepared. We analyze data availability, skills and processes and pinpoint where action is needed. This way you avoid blind launches and deploy resources where they truly make an impact.
From proof of concept to real progress
Many AI projects remain stuck in the pilot stage. We work with you to develop a realistic and practice oriented roadmap for successful implementation. Step by step, we define the next milestones, from use cases to infrastructure to change management and training. This way AI experiments turn into real value creation.
AI A tool and a risk at the same time
AI detects threats faster than ever, but the same technology is also at attackers’ disposal. Generative AI can automate social engineering attacks, create deepfakes or massively scale phishing campaigns like never before. We help you understand this new attack surface and protect yourself against it effectively.
The realization of your success
With our expertise and experience, we help you overcome your data and AI challenges—from strategy and implementation to training and security. Together, we’ll find the precise solution that fits your organization.
Our solution for you
- KI-Strategie & Governance
- KI Readiness Assessment
- KI Implementation Roadmap
- Mitarbeiterschulungen
- KI-Sicherheit im Cybersecurity Kontext
