Swiss Alps, Overlooking 14K-Foot Peaks
The general concept of ai-one's CORA
The CORA ai-workflow platform is easy and intuitive to use. The menus are dynamic and can be operated on computers as well as on tablets and smartphones
Communicate
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Orchestrate
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Reasoning
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Act
The full-stack intelligence process
describes a method where data from various sources (e.g., databases, APIs, social media) is integrated into a single platform to gain a comprehensive view of a topic or situation. This process typically includes steps such as data collection, processing, analysis, and presentation. The goal is to gain a comprehensive insight into the topic and make decisions based on comprehensive data.
Your AI must integrate into your company and act like a group of collaborating expert individuals! Which constantly improves and adapts to the changes in the company and the environment.
Harmonization between leading and competing systems!
The big users of data collections are already known. However, many data collections are based on old technology and were created without modern concepts. A transition to new systems is time-consuming and expensive. Often, there is a lack of know-how about the old data collections. When migrating to modern systems, duplicates and unvalidated data threaten to impair the quality. Nevertheless, important information is hidden in old repositories.
Plausibility and Validation
Sources: It must always be traceable on which sources the answers are based.
Track: All answers generated by an AI system should be labeled with their origin and how they were created (human, chatbot, internal database, external database, etc.).
Plausibility: This refers to how credible, logical, and coherent a text appears. Texts generated by AI often seem very plausible—they are linguistically convincing and well-structured.
Truth or Fact:
This refers to what can be objectively verified—through sources, data, or expertise.
Knowledge Horizon – Why It Matters
An AI system's knowledge horizon defines which questions it can answer – and where its limits lie. Only if a question falls within this horizon can the AI provide a reliable and meaningful answer. Without the necessary knowledge base, the answers will be inaccurate or incorrect.
For effective communication, it must be ensured that humans and AI have the same, or at least overlapping, knowledge horizon; otherwise, misunderstandings arise, and meaningful interaction becomes difficult.
To use AI effectively, one must know what it knows - and what it doesn't.
Single point of access
On AI access point to provide subsequent applications and systems with the optimal information for the next process steps.
CORA-Workflow generates content for the next process steps through its central AI functions.
Digital Intelligence combined, as coach and prompter for safe and efficient use of AI.
Natural dialogues for intuitive workflows with a central control.
CORA-Workflow analyzes and provides context-rich results for targeted actions, automatically, traceable and effective.
The market is currently being flooded by countless AI solutions
Every application is already equipped with or will be equipped with AI features. These different AI systems compete with and sometimes even hinder each other.
