Create Content Faster. Use Knowledge Better.
Every day, companies work with large volumes of text, documents, and data. The ISO-Gruppe helps them create and structure this content more efficiently using appropriate AI solutions and securely integrate it into existing processes.
Wherever Content Is Created, AI Lightens the Load.
Many business processes rely on information that must be created, reviewed, summarized, or reused. Generative AI can help with all of these tasks. It prepares content more quickly, makes knowledge more accessible, and frees employees from text- and knowledge-based tasks.
The ISO-Gruppe uses generative AI where it meaningfully supports processes and improves quality. This includes specifications, project notes, documentation, proposals, and assistant functions that leverage existing knowledge.
The model alone is not the decisive factor. A solution that can be reliably used in day-to-day business operations emerges only when the model is combined with data, processes, roles, interfaces, and security requirements.
Generative AI: Typical Applications
Generative AI is particularly valuable when information needs to be processed, formulated, structured, or made accessible.
- Creating or revising texts and documents
- Summarizing and structuring information
- Making knowledge from documents and data sources usable
- Supporting specifications, project notes, and documentation
- Developing assistance systems for employees, customers, or departments
- Generating answers, recommendations, or drafts based on existing information
The most suitable application depends on the specific professional context. For this reason, the ISO-Gruppe does not view generative AI in isolation, but always in conjunction with existing applications, data sources, and processes.
Using Generative AI Effectively.
In order for generative AI to reliably support businesses, it must be integrated into existing processes, systems, and security requirements, and it must be accompanied by clear guidelines and appropriate operating models.
Using generative AI requires clear rules. Depending on the requirements, open models, contractually guaranteed services, or models in dedicated environments may be used. This ensures that sensitive data, quality standards, and compliance requirements are considered.
Data sovereignty is central to the use of generative AI. An internal governance framework determines which technologies are suitable for which tasks and the requirements that must be met.
Generative AI can assist with documentation-heavy tasks, such as creating specifications, project notes, proposals, quality assurance documents, and more. The specific subject matter and technical context are always key factors.
Generative AI can provide targeted support in software development. The extent to which it is used in customer-specific projects depends on the customer’s requirements, as well as on factors such as security, traceability, data sovereignty, and long-term maintainability.
Although generative AI is an important building block, it is not the right solution for every task. Depending on the objective, cognitive or agentic AI can be useful additions. For example, they can be used to recognize patterns, control processes, or automate complex workflows.
Johannes Reichel
90491 Nuremberg
What is the best way to safely integrate generative AI into your processes?
Do you want to use generative AI without compromising data sovereignty, compliance, or quality? The ISO-Gruppe can help you securely integrate it into your existing applications and processes.