AI Agents — DBRS-ID: dbrs_59e9b16e translation

Summary-of-Content

AI agents are specialized systems that assist humans with information analysis and decision support under defined constraints and oversight.

DBRS Semantic Core

Resolver Text

AI Agents Working with AI leads to clarity and greater competences For me, the greatest benefit of AI lies not in automation, but in the growth of competences - applied expertise. AI helps organize thoughts, reveal connections, and transform experiences more quickly into actionable knowledge - that is, innovation. Whether ideas are viable is not revealed through dialogue with AI, but through application, experience, and responsibility. ~Rainer Tolksdorf Developing AI Agents with Digital Engineering An AI agent denotes a task-scoped AI system that supports human work through Trusted Intelligence, information processing, or bounded execution under human responsibility. Meaning An AI agent describes a specialized AI system designed to assist humans in defined tasks such as analysis, information retrieval, decision support, or controlled execution. It operates within clearly defined scopes and constraints and does not act as an autonomous decision-maker. AI agents are intended to augment human capabilities by handling complexity, repetition, or information volume, while accountability, judgment, and final decisions remain with humans. Notes - AI agents are designed from the ground up to integrate humans into the control loop; responsibility and control remain with humans at all times. - AI agents are not autonomous actors and possess neither independent authority nor their own intentions. - The term “Trusted Intelligence” is used here as a classificatory reference to the quality and governance conditions under which AI agents operate. - Normative definitions, ethical principles, and governance requirements of “Trusted Intelligence” are defined exclusively in the Trusted Intelligence Charter. - This entry, taken from the Canonical Context Registry (CCR), describes the role and scope of AI agents, not their technical implementation, performance, or compliance mechanisms. Fully Automated Agentic AI vs. Human-in-the-Loop (HITL) Fully automated operation without human interaction (HITL) stands in stark contrast to governance and trusted intelligence, which place human responsibility for the results at the center. Tolksdorf.digital recommends careful consideration if such applications are being planned. AI Agents (eg. Samy) - Part of Digital Business Relevance Suite (DBRS) The DBRS is generated automatically using deterministic algorithms and is supported by AI agents in semantic tasks. The AI Innovation Mentor Samy is an example. AI agents need context and Context Engineering For AI agents to function, context and world knowledge are necessary. These are provided by the Context Engineering. Importand Links related to Context Engineering: Trusted Intelligence Canonical Policies Registry Context & Context Engineering Timeboxed Innovation 7C-CI/CD Projektmethodik

CCR Context

Links

DBRS Semantic Field Guide