A global engineering firm in simulation and digital twin technologies needed to accelerate benchmarking and review workflows without disrupting active programs. Engineering and IT teams faced friction in their current processes while balancing ongoing program commitments. They also needed clarity on data and compliance readiness before moving forward with AI and automation. An AI & Automation Readiness Workshop was implemented with engineering and IT teams. They mapped workflow friction points and assessed data and compliance readiness. They then identified high-impact automation use cases and aligned stakeholders around responsible AI adoption. The engagement produced a shared six-month roadmap for AI experimentation. It also defined three pilot projects directly tied to engineering KPIs. Teams and leadership aligned on next steps and priorities for adopting AI responsibly without disrupting active programs.

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A global automotive leader’s EV test labs were slowed by manual, fragmented processes across workflows. Teams operated in silos, which reduced coordination and limited end-to-end visibility. AI priorities were unclear, making it difficult to choose and justify the right use cases. These constraints hindered progress toward improving testing efficiency and compliance workflows. Cross-functional AI & Automation Readiness Workshop sessions were implemented to address process and alignment gaps. Teams mapped current workflows and identified where automation and AI could add the most value. They aligned on high-impact use cases, including anomaly detection and compliance summaries. Governance was established to support consistent decision-making and execution. The work resulted in two fully scoped pilot projects ready to launch. Leadership approved proceeding with the pilots based on the workshop outputs and governance approach. A dedicated AI task force was formed to drive ongoing adoption. The scoped initiatives were tied to efficiency and compliance improvements, though no specific percentages were provided.

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A leading automotive-sector manufacturer and distributor needed to improve efficiency and reduce reactive workloads. The organization could not afford to replace deeply embedded logistics, ticketing, and inventory platforms. Teams faced high-friction workflows that created unnecessary effort across departments. The company ran a cross-functional AI & Automation Readiness Workshop to map high-friction workflows. Participants assessed feasibility and risk to prioritize low-disruption pilots. The engagement produced a clear, prioritized roadmap and alignment across departments. The workshop identified four practical automation initiatives aimed at improving customer experience, operational flow, and cost efficiency. The organization gained a prioritized path forward without replacing core systems. Departments aligned on the next pilots to pursue based on feasibility and risk.

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