Framework connections explain relevant planning considerations, not a certification or a finding that a rule applies. Confirm scope and obligations with accountable stakeholders. Explore the ten framework references.
Security
Protect engineering collaboration
Design and supplier information cross organizational boundaries.
Approach
Review project access, external sharing, classification, and lifecycle controls for in-scope engineering repositories.
Deliverables
- Intellectual property handling and access assessment
- Classification and sharing-control plan
Success measures: Protection coverage and unresolved access exceptions.
Requirements to consider
Honor contractual, export-control, and intellectual-property requirements.
Framework connections
- CMMC 2.0If engineering repositories contain information from defense contracts, identify the required CMMC scope and evidence before approving external collaboration.
- ISO/IEC 27001:2022Connect engineering information risks and supplier-sharing controls to the organization's defined management-system scope.
AI Business Solutions
Support dealership and service knowledge work
Teams need consistent access to approved product and service information.
Approach
Ground an assistant in authorized knowledge, show sources, and design escalation for uncertain or safety-related requests.
Deliverables
- Knowledge assistant blueprint
- Accuracy and escalation evaluation
Success measures: Answer accuracy and verified task usefulness.
Requirements to consider
Exclude autonomous driving functions, safety decisions, and unverified repair instructions.
AI Business Solutions
Coordinate supply-chain exceptions
Supplier issues require repeated manual updates across business applications.
Approach
Connect approved records and route exception work with clear owners, thresholds, and approval evidence.
Deliverables
- Exception workflow design
- Integration and approval matrix
Success measures: Exception age and duplicated work.
Requirements to consider
Contract, sourcing, and commercial commitments require authorization.
Cloud & AI
Govern mobility and commercial analytics
Disconnected datasets limit trusted insight across business operations.
Approach
Create purpose-limited data products with ownership, lineage, quality rules, and role-based reporting.
Deliverables
- Governed analytics architecture
- Data minimization and quality criteria
Success measures: Data freshness and consistent business measures.
Requirements to consider
Handle location and personal data deliberately; analytics are not safety certification.
Framework connections
- GDPRWhere mobility or commercial analytics process personal data within GDPR scope, establish permitted purposes, minimization, retention, and access boundaries.
Security
Protect distributed commercial endpoints
Dealer and corporate devices use inconsistent security and management practices.
Approach
Assess authorized device roles, define baselines, and pilot protection and access changes with support procedures.
Deliverables
- Endpoint security and management baseline
- Deployment and exception plan
Success measures: Device coverage and unresolved protection gaps.
Requirements to consider
Vehicle systems and safety-related interfaces are outside this endpoint-administration scope.
AI Business Solutions
Prepare engineering-office Copilot pilots
Teams want administrative AI assistance without exposing controlled engineering knowledge.
Approach
Choose approved office tasks and sources, review permissions, and define verification and pilot acceptance criteria.
Deliverables
- Engineering-office readiness review
- Pilot and data-handling guidance
Success measures: Task usefulness and protection gaps closed.
Requirements to consider
AI output is not engineering validation, certification, or authorization for vehicle changes.
Cloud & AI
Modernize dealer and customer business portals
Legacy portal applications complicate secure integration and reliable updates.
Approach
Assess workload dependencies and design a phased platform modernization with identity, recovery, and performance requirements.
Deliverables
- Portal architecture and dependency assessment
- Migration and operational acceptance plan
Success measures: Readiness gaps and validated portal reliability.
Requirements to consider
Protect customer information and obtain approval for customer-impacting changes.
Cloud & AI
Govern releases of business AI applications
Business AI prototypes lack consistent evaluation and operational release controls.
Approach
Define a bounded application platform with approved sources, scoped identities, evaluation datasets, and release evidence.
Deliverables
- AI platform and integration architecture
- Evaluation and readiness criteria
Success measures: Evaluated releases, task quality, and unresolved risks.
Requirements to consider
Exclude autonomous driving, vehicle control, and safety-critical decisions from this business-AI scope.
Framework connections
- EU AI ActWhere the Act applies, assess the business application's intended use and provider or deployer role instead of assuming all automotive AI has the same classification.
- NIST AI RMFUse consequence-based evaluation and accountable release decisions for the specific business AI workflow.
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