en.Wedoany.com Reported - On June 1, German startup Aiconiq.io launched the "Co-Brain" solution centered around digital avatars of corporate executives and experts. This technology distills the knowledge, communication style, decision-making logic, and experience of a CEO or industry expert into an interactive artificial intelligence knowledge base, enabling AI agents to perform contextualized tasks in the style of the respective person within authorized scopes.

This product emerges against the backdrop of executive digital avatars transitioning from demonstrative avatars into real communication scenarios. Relevant cases from companies such as Meta, Klarna, and Uber show that artificial intelligence has been used to create digital versions of executives, allowing employees or customers to interact with them via chat, voice, or avatar interfaces. Klarna established an AI chat portal for customer feedback around CEO Sebastian Siemiatkowski; Uber employees use an AI version of CEO Dara Khosrowshahi to practice presentations and strategic proposals; Meta has also been reported to be developing a digital avatar of Mark Zuckerberg for employee interaction. Aiconiq.io aims to further transform these "looks like someone" AI personas into enterprise systems that "work according to someone's judgment logic."

The focus of Co-Brain is not on appearance, voice, or expressions, but on knowledge structure and decision-making style. According to Aiconiq.io's design, a CEO Co-Brain can answer questions, provide advice, explain context, assist in content creation, prepare management discussion materials based on the user's role and permissions, and proactively ask for context when information is insufficient. The system can be trained using speeches, blogs, interviews, internal documents, emails, chat logs, meeting transcripts, call recordings, and AI-guided expert interviews, combining explicit knowledge, tacit experience, and communication style. For enterprises, this means that executive experience, expert judgment, and organizational memory are no longer confined to a few individuals' minds but can be structurally accessed and serve as a contextual source for AI agents when executing tasks.

Another value proposition from Aiconiq.io is enabling AI agents to tap into a "human" judgment framework. Traditional enterprise knowledge bases primarily answer "where is the information, what are the rules, how does the process work," while Co-Brain aims to answer "how should one judge, trade off, and express from this person's or this company's perspective." In scenarios such as marketing, public relations, strategy, bidding, customer communication, product decisions, and management reporting, if AI agents can invoke a CEO or expert Co-Brain, they can generate outputs more aligned with the company's tone, priorities, and decision-making habits. Aiconiq.io claims the solution can reduce strategic decision preparation time by 30% to 60% and save significant management time; these figures represent the company's own product claims and require further validation through more customer cases and long-term usage data.

Security and permission control will determine whether such products can enter core enterprise processes. Once a CEO or expert Co-Brain is connected to internal emails, meetings, conversations, and knowledge assets, it touches a large amount of sensitive information. Aiconiq.io emphasizes that the system can run on German or European servers, or be deployed on-premises as needed, protecting data sovereignty through end-to-end encryption, role-based permissions, access control, and audit mechanisms. For European companies, this "Made in Germany" enterprise AI solution attempts to offer a path that emphasizes data sovereignty, compliance, and organizational controllability, distinct from large general-purpose models from the US.

Executive digital avatars are undergoing a shift in positioning: initially more like a new communication portal, they will gradually evolve into infrastructure for enterprise knowledge management, decision support, and AI agent collaboration. Aiconiq.io categorizes Co-Brain into three types: Personal Co-Brain, General Co-Brain, and Enterprise-level Corporate Brain, corresponding to individual cognitive enhancement, team knowledge Q&A, and organizational-level AI knowledge foundation. As enterprises expand the deployment of AI agents, the truly scarce capability will not be generating text itself, but connecting organizational experience, professional judgment, permission boundaries, and task execution into a single system. The direction Co-Brain represents is precisely moving AI agents from "being able to answer" to "acting according to the enterprise's intent."

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