The emergence of AI agents is expected to reshape software engineering, moving beyond assistant‑type AI toward systems that can autonomously plan, execute, and evaluate development tasks.
This shift is especially critical for embedded software organizations, which must meet strict quality, traceability, verification, and long‑term maintainability requirements.
The paper presents a case study of a large embedded systems company, using a mixed‑method approach that analyzes data from a semi‑structured workshop with 40 participants, including Scrum Masters, architects, managers, and product owners.
Findings indicate that participants anticipate agentic AI will affect team structures, required competencies, organizational strategies, and the roles developers play within the organization.
Based on these insights, the study discusses federated AI team formation, human‑in‑the‑loop practices, and sustainable adoption of AI agents in embedded software engineering.
A concrete roadmap is then offered, guiding the organization through a step‑by‑step transition to an AI‑first model, covering technology selection, process redesign, talent development, and governance mechanisms.
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