ACTION - Agentic AI in Automotive Operations

Research Project, 2025 – 2026

Purpose and goal
This pre-study project aims to explore how Agentic AI – the latest frontier of AI that uses systems of agents that independently set goals, make decisions, and take actions – can enable circular and autonomous manufacturing and supply chain operations in the automotive industry. Using a live automotive use case, this project will examine opportunities and challenges with Agentic AI, develop a conceptual PoC framework for Agentic AI scaling, and establish a full-scale consortium and application.

Expected effects and result
The project will set the stage for a new research and innovation frontier of Agentic AI by mapping opportunities and challenges for circularity impact, workflow automation, and cost behavior; developing a conceptual PoC framework for Agentic AI scaling by coupling technical pipelines with organizational practices; establishing a proposal for a full-scale project; and packaging academic and domain knowledge of Agentic AI into actionable scientific and industrial materials.

Planned approach and implementation
The pre-study project is enabled by full observational access to a live development-to-deployment cycle of an Agentic AI solution at Volvo Cars. The project includes four Work Packages (WPs). WP1: Agentic AI frontier – opportunities and challenges. WP2: Agentic AI scaling – conceptual PoC framework. WP3: Large-scale, Step 2 project – consortium and application. WP4: Scientific and industrial dissemination. WP1-2 contains the research efforts.