Software-defined-vehicle platform work is the architectural and operating-model discipline that determines whether a vehicle program can release software at a cadence the supplier base can support, or whether each release becomes a six-month integration event. The work begins with a current-state E/E architecture assessment, an AUTOSAR Adaptive and Classic split decision, and an honest evaluation of the platform-team operating model against the cadence the program is targeting. A senior consultant produces a domain-controller decomposition aligned to the vehicle's functional domains, an AUTOSAR integration design that defines the supplier-OEM responsibility split clearly, a software-platform release model that synchronizes domain-controller releases with vehicle integration events, and an ASPICE-aligned engineering process that survives a customer audit. Deliverables include the platform architecture decision record, the supplier-collaboration operating model, the release-cadence design, and a roadmap for moving from the current per-program platform to a reusable vehicle-software platform. Successful outcomes look like a vehicle program that delivers a software release inside its planned window without a tier-1 escalation, an over-the-air update path that the platform supports natively rather than as an add-on, and a supplier base that aligns to the OEM's cadence rather than constraining it. An engagement typically runs twelve to twenty weeks, embedded with the chief software officer's organization, vehicle-program engineering, and the tier-1 platform suppliers.
Software-defined vehicles, OTA, and supplier-system modernization for automotive OEMs and suppliers.
Software-defined vehicle platforms, OTA update infrastructure, ADAS data pipelines, and the IATF 16949 and ISO 26262 discipline the work has to survive.
What we see in Automotive.
Automotive technology programs have crossed a structural threshold. The vehicle is now a software platform with a powertrain attached, and every OEM and tier-1 supplier in the industry is trying to operate a software organization with a manufacturing organization’s decision cadence. The expensive failures aren’t in the autonomy stack; they’re in the OTA campaign that bricked a fleet, the supplier portal that can’t produce IATF 16949 evidence on demand, and the dealer-system migration that misjudged the dealer-network change-management work.
We work with OEMs, tier-1 and tier-2 suppliers, EV-native firms, and mobility-platform operators on the engineering decisions where the safety frame, the cybersecurity frame, and the production cadence all have to align. ISO 26262 functional safety governs the embedded side. UNECE WP.29 R155/R156 governs vehicle cybersecurity and software-update management. AUTOSAR governs the platform interfaces. The supplier-quality side runs through IATF 16949 and, where aerospace overlap exists, AS9100.
On AI and data, ADAS and AV programs generate the most operational data the company has ever managed. The realistic engineering problem is the data lifecycle: ingest, label, version, replay, and the reproducibility discipline that lets a finding from a vehicle in the field become a fix in the next OTA without breaking the safety case.
Where we plug in for Automotive.
Regulatory and compliance landscape.
Automotive technology programs are governed by overlapping safety, cybersecurity, and quality frameworks. We design deliverables to align with the frameworks that govern the work.
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IATF 16949 →
Automotive quality management system standard. Required by most OEMs of their tier-1 and tier-2 suppliers.
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AS9100 →
Aerospace and defense quality management system standard. Relevant where automotive suppliers also serve aerospace customers.
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FMVSS →
Federal Motor Vehicle Safety Standards. The US baseline safety frame for vehicles and equipment.
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ISO 26262 →
Functional safety standard for road vehicle electrical and electronic systems. ASIL classification and the safety lifecycle.
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UNECE WP.29 R155 / R156 →
Vehicle cybersecurity management system (R155) and software update management system (R156) regulations under UNECE WP.29.
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AUTOSAR →
Automotive Open System Architecture. Classic and Adaptive platform standards for in-vehicle software.
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ISO/SAE 21434 →
Road vehicles cybersecurity engineering standard. The companion engineering standard to WP.29 R155.
Prior engagements.
ASPICE-aligned software platform consolidation for ADAS
The Automotive client's ADAS program was leaking integration defects into hardware-in-the-loop benches at a rate the program manager could not defend, with three tier-one suppliers each on different software delivery models and ASPICE Capability Level evidence inconsistent across the supply base. ISO 21434 cybersecurity work was bolted on rather than built into the V-model.
Barrier restructured the supplier software delivery model around Automotive SPICE Level 3, harmonized the requirements management and configuration management practices across the three suppliers, and embedded the ISO 21434 threat analysis and risk assessment into the system definition phase. We wrote the assessor-facing evidence pack and rehearsed the formal SPICE assessment with the lead.
HIL integration-defect leakage came in at roughly half the prior baseline. Thirteen-month engagement, embedded with the platform software team.
Battery traceability platform for EU Battery Regulation
The Automotive client faced the EU Battery Regulation 2027 deadline for the digital battery passport with a supplier base that had never been asked for cradle-to-grave material declarations, no internal data model for the regulation's data classes, and no agreed notified-body relationship. The vehicle program manager could not slip the European launch.
Barrier built the digital battery passport data model against the regulation's published data classes, stood up the supplier capture flows through a vendor portal integrated with the existing PLM, and wrote the conformity assessment package the notified body would re-examine. We rehearsed the audit with the cell supplier and walked the homologation team through the GS1 carbon-footprint methodology.
The first cell chemistry pre-cleared with the notified body inside the program window. Ten-month engagement, four-stream delivery.
PLM-to-ERP master data harmonization for tier-1 supplier
The Automotive client had been living with recurring BOM-out-of-sync escapes between Teamcenter and SAP that had triggered customer 8D reports across three OEM accounts, with engineering change orders being reworked manually after the fact and the quality function carrying the cost. The plant teams had lost confidence in the master data.
Barrier rebuilt the item master harmonization between Teamcenter and SAP through a governed change pipeline, redesigned the engineering change governance to fail closed when classification or routing data was missing, and wrote the data quality scorecard the quality director would publish monthly. We retired the manual reconciliation workbook the program managers had been keeping in parallel.
The BOM-out-of-sync escapes stopped surfacing in the OEM 8D queue. Eleven-month engagement across three plants and the central engineering office.
Ready to scope an Automotive engagement?
A 20-minute brief on the problem and we’ll come back with what we’d actually do.

