Automotive & Manufacturing

Key Challenges

SAP S/4HANA migration pressure. End-of-support deadlines are approaching while the skills shortage slows delivery. Traditional migration approaches reach their limits with historically grown ABAP customizations – thousands of custom objects, undocumented business rules, and tightly coupled interfaces. A clean-core approach with automated code analysis opens the path out of expensive maintenance loops and frees budget for AI and innovation.

Industrializing AI – from pilot to production scale. Proofs of concept are everywhere, but scaling AI into series operations remains the central opportunity. The gap between IT and OT blocks the continuous data flow required for agentic AI systems capable of independent decisions in logistics, quality control, and predictive maintenance. Predictive maintenance alone can achieve 98%+ accuracy in preventing unplanned downtime – but only with production-grade data infrastructure.

Software-defined everything and compliance. The move toward SDVs and the digital product passport requires new data architectures. Cybersecurity compliance (ISO/SAE 21434) is now a prerequisite for market access. Managing software as a product secures operating approval and long-term competitiveness.

Data sovereignty versus agility. Dependence on non-European cloud stacks conflicts with the need to control IP and sensitive production data. Edge computing and sovereign data spaces such as Catena-X are becoming the standard for resilient, regulation-compliant supply chains.

What We Deliver for Automotive & Manufacturing

Our services for the automotive and manufacturing sector combine deep domain expertise with AI-accelerated engineering. Every engagement draws on 20+ years of enterprise modernization experience and proven delivery at scale:

• S/4HANA Transformation Program: End-to-end SAP migration from legacy ERP to S/4HANA – AI-powered extraction of custom ABAP business rules, clean-core architecture, automated regression testing, and fixed-price delivery. We handle the full complexity of historically grown landscapes, from custom transactions to cross-system interfaces.

• Industrial AI & Predictive Maintenance: We build production-grade AI systems that operate directly on manufacturing data – predictive quality assurance via computer vision, supply chain optimization through real-time analytics, and predictive maintenance with 98%+ accuracy. End-to-end delivery from use case identification through production deployment and model monitoring.

• Digital Twin & IT/OT Integration: We design and implement the data architecture connecting shop floor to enterprise systems – IoT data pipelines, MES/SCADA modernization, API-first integration layers, and digital twin platforms. Legacy OT systems gain modern connectivity while maintaining full production operations.

• SDV Compliance & Cybersecurity Architecture: We deliver cloud-native architectures for software-defined vehicles – over-the-air update infrastructure, SUMS implementation, ISO/SAE 21434 cybersecurity compliance, and digital product passport data models. Regulatory readiness built into the architecture from day one.

• Managed Adaptive Operations: We run modernized manufacturing IT landscapes – ERP, IoT platforms, AI pipelines – under SLA with continuous modernization built in. Technical debt is addressed through ongoing refactoring, continuously.

• Technical Health Checks & AI Readiness: We assess production IT landscapes with code-level depth – SAP complexity audits, IT/OT integration architecture reviews, AI readiness evaluations, and digital twin feasibility assessments. Actionable findings in 1–4 weeks.