Background
The manufacturer is one of Germany's leading automotive companies, operating a global network of production facilities, R&D centres, design studios, and corporate offices across Europe, North America, Asia, and emerging markets. Its IT environment supports the full spectrum of automotive operations: vehicle design and engineering, production line management, supply chain logistics, dealer network communications, and corporate functions.
The company's Microsoft EA had evolved through multiple renewal cycles, each adding products: Azure for connected vehicle data platforms, Dynamics 365 for dealer management, Power Platform for production analytics, and Microsoft 365 for 100,000+ employees spread across vastly different work environments, from corporate offices to factory floors to remote R&D labs. The result was a licensing estate with significant inefficiency: premium SKUs assigned to factory workers who needed only basic communication tools, Azure commitments misaligned with actual IoT and analytics consumption, and departmental duplication across geographically dispersed operations.
The Challenges
Workforce diversity. The 100,000+ employees included corporate staff, R&D engineers, production line workers, logistics personnel, and dealer network users. Yet the existing EA applied relatively uniform E3/E5 licensing across the population. Factory floor workers licensed on E3 (€30+/user/month) needed only basic communications. This single mismatch across tens of thousands of factory workers represented millions in annual overspend.
Azure IoT and connected vehicle complexity. The company's connected car and autonomous driving initiatives were driving significant Azure consumption. However, the existing MACC was structured as a single monolithic amount that did not differentiate between stable production workloads and highly variable R&D experimentation, creating both overage exposure and unused commitment.
Global manufacturing footprint. Operations across 15+ countries with different regulatory environments required region-specific Azure configurations. Each region had accumulated its own Microsoft licensing independently, creating cross-regional duplication where users held licences from multiple geographic allocations.
Legacy and emerging technology overlap. The manufacturer simultaneously ran legacy on-premises systems (production management, ERP, CAD/CAM) alongside modern cloud workloads (connected vehicle platforms, AI/ML pipelines). Microsoft was pushing aggressive Copilot AI adoption across the EA, but the business case had not been validated for the manufacturer's specific use cases.
Phase 1: Comprehensive Deployment Analysis
Workforce segmentation and M365 licence audit. Redress segmented the entire 100,000+ employee population into five distinct licence tiers based on actual technology requirements: corporate knowledge workers, R&D engineers, production floor workers, logistics and supply chain staff, and extended dealer network users. Each tier's actual feature usage was validated against their current SKU assignment.
Azure consumption analysis. Redress mapped Azure spending across all subscriptions, separating stable production workloads from variable R&D experimentation. The analysis identified over-provisioned virtual machines, R&D workloads on expensive pay-as-you-go pricing, orphaned resources from completed autonomous driving experiments, and IoT Hub configurations provisioned at higher tiers than actual telemetry volume required.
Cross-regional consolidation assessment. Redress audited Microsoft licensing across all 15+ manufacturing regions, identifying duplicate licence allocations, redundant Azure subscriptions, and regional procurement decisions that created cross-border inefficiency. This analysis revealed significant duplication, particularly in regions where local IT teams had independently purchased Microsoft licences outside the global EA framework.
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Phase 2: Licence Optimisation — €10M Annual Savings
The workforce SKU right-sizing alone delivered €4.2M annually. Approximately 35,000 factory and logistics workers on E3 using only basic communications were migrated to F1/F3 frontline worker licences. R&D engineers who were over-provisioned on E5 moved to E3 with targeted add-ons. Corporate power users retained E5. This five-tier model replaced the previous near-uniform E3/E5 approach and represents the single largest optimisation lever for any automotive manufacturer with a large factory workforce.
Azure optimisation delivered €2.8M annually. Over-provisioned production virtual machines were right-sized, R&D workloads were converted from pay-as-you-go to reserved and spot pricing, orphaned resources from completed autonomous driving experiments were decommissioned, and IoT Hub configurations were re-tiered to match actual telemetry volume.
Cross-regional consolidation eliminated €1.8M in annual waste. Duplicate licences across 15+ manufacturing regions were consolidated to a single global EA allocation. Regional Azure subscriptions outside the global EA framework were brought under central governance. Unified subscription management eliminated per-region inefficiencies.
Legacy retirement and Azure Hybrid Benefit application delivered €1.2M annually. Redundant on-premises server licences for partially migrated workloads were retired. Unclaimed Azure Hybrid Benefit credits were applied. Excess Dynamics 365 seats were reduced to active users. Total annual optimisation savings reached €10M.
Phase 3: Strategic Roadmap
Rather than Microsoft's proposed broad Copilot rollout across 100,000+ users, Redress designed a phased AI adoption strategy: Copilot for 5,000 corporate knowledge workers with validated productivity use cases, Power BI Premium for production analytics, and Power Automate for specific manufacturing process automation. This targeted approach avoided a €15+ million Copilot commitment that would have delivered uncertain value across the factory workforce.
Azure commitment was restructured as a two-tier model: a stable baseline for production IoT workloads with predictable consumption using reserved instances, and a flexible R&D allocation with burst capacity for experimentation using spot and pay-as-you-go with caps. Each tier has independent step-up and step-down provisions. The roadmap also included a purpose-built factory digital workplace using F1/F3 frontline worker licences, delivering equivalent factory-floor functionality at 70 to 80% lower per-user cost than E3.
Phase 4: Benchmarking and Negotiation — 28% Cost Reduction
Redress benchmarked the manufacturer's Microsoft pricing against automotive industry peers globally. The benchmarking identified specific areas where Microsoft's proposal exceeded market norms for comparable automotive enterprises. This data formed the foundation of the negotiation strategy — shifting the conversation from Microsoft's entitlement-based proposal to competitive market pricing.
Key concessions negotiated included annual workforce tier adjustments allowing users to shift between E5, E3, F3, and dealer tiers at each anniversary. Production cycle provisions allow licence quantities to flex plus or minus 15% to accommodate seasonal production ramp-ups and plant shutdowns without penalty. The two-tier Azure commitment with separate production and R&D provisions gives the manufacturer independent flexibility on each. Copilot expansion rights allow scaling from 5,000 to 20,000+ users at locked-in pricing if the pilot demonstrates ROI, without obligation to expand. Explicit vehicle telemetry data governance provisions were also secured, including IP ownership and data portability terms for all vehicle data processed through Azure. A 3% annual cap on price increases for the EA term provides cost certainty.
"Redress Compliance's support in our Microsoft EA renewal was transformative. Their expertise ensured significant cost savings while enabling us to align our IT strategy with our innovation goals. Their guidance was critical to achieving a scalable and flexible agreement."
Group Chief Information Officer, Leading German Automotive Manufacturer
Lessons for Automotive Manufacturers
Automotive manufacturers typically have 30 to 50% of their workforce on factory floors, logistics, or dealer networks. Migrating factory and frontline workers from E3 to F1/F3 reduces per-user cost by 70 to 80% and typically represents the single largest optimisation opportunity in any automotive EA. Separating production and R&D Azure commitments is essential: automotive R&D generates highly variable Azure consumption that does not belong in the same commitment structure as stable production workloads.
Blanket Copilot rollouts should be challenged rigorously. At €30/user/month, licensing 100,000 employees for Copilot would cost €36 million annually with unproven ROI for factory workers and dealer network users. A targeted pilot with expansion rights delivers innovation value for validated use cases while avoiding tens of millions in unvalidated spend. Automotive manufacturing is also cyclical — production cycle provisions that allow licence quantities to flex at defined intervals accommodate model launches, seasonal ramps, and plant retooling without penalty.
For more on Microsoft EA optimisation, contract negotiation, and licence optimisation services, visit the Microsoft Knowledge Hub.
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