Who Is This For?
This toolkit is designed for professionals who lead or influence autonomous vehicle development and safety assurance. You are a systems engineer, safety architect, or AV programme manager responsible for demonstrating due diligence across functional safety, cybersecurity, and operational validation. You may be a technical lead in an OEM, Tier 1 supplier, or AV startup tasked with preparing for ISO 26262 certification or SOTIF gap analysis. You could be a validation engineer needing to structure test coverage across edge cases, or a compliance lead required to produce auditor-ready documentation. You might also be a product safety officer, ADAS team lead, or mobility solutions architect who must reconcile engineering decisions with regulatory expectations. This self-assessment gives you the structured, evidence-based framework your role demands to act with authority and precision.
Are you risking safety incidents, regulatory rejection, or project overruns in your autonomous vehicle initiatives due to incomplete or ad hoc evaluation processes? Without a rigorous, standardised self-assessment aligned to ISO 26262, ISO 21448 (SOTIF), and NHTSA AV 4.0 guidelines, your team could be missing critical functional safety gaps, underestimating cybersecurity exposure, or failing to demonstrate due diligence to auditors, jeopardising certification timelines, investor confidence, and market entry. The Autonomous Vehicles Complete Self-Assessment is the definitive 633-criteria diagnostic framework that gives systems engineers, safety architects, and AV programme leads immediate, auditable clarity across functional safety, decision logic, sensor fusion, and regulatory compliance, so you can close maturity gaps before they become liabilities.
What You Receive
- 633 evidence-based self-assessment questions in XLSX format, structured across the seven RDMAICS phases (Recognise, Define, Measure, Analyse, Improve, Control, Sustain), enabling traceable, phase-gated evaluation of your autonomous vehicle system lifecycle with full alignment to ISO 26262 and SOTIF (ISO 21448)
- Automated Excel-based Self-Assessment Dashboard featuring dynamic scoring, maturity radar visualisations, and exportable summary reports for auditor presentation or internal governance, supporting 1-10 evaluators simultaneously with version-controlled inputs
- Customisable RACI Matrix generator (XLSX) that dynamically assigns Responsible, Accountable, Consulted, and Informed roles across all 633 criteria, ensuring unambiguous ownership for remediation actions and audit follow-up
- Comprehensive PDF eBook guide with annotated criteria, real-world implementation context, and case-based examples for Functional Safety, Cybersecurity, Sensor Integration, Decision Logic, Operational Design Domain (ODD), HMI, and Regulatory Governance, ideal for pre-assessment training and stakeholder alignment
- Seven-domain maturity assessment framework covering Functional Safety (ISO 26262), SOTIF (ISO 21448), Cybersecurity (ISO/SAE 21434), Sensor Fusion, Decision Logic, ODD Validation, and Human-Machine Interface, with scoring calibrated to industry benchmarking thresholds
- 00_Platinum_Tier deliverables including: Master Autonomous Vehicle Governance Playbook (PDF), 90-day Certification Readiness Roadmap (XLSX), Functional Safety Case Template (PDF), AV Anti-Pattern Catalogue (XLSX), Safety & Security Observability Dashboard (XLSX), and Autonomous Vehicle Incident Response Runbook (PDF)
- Structured file suite with 60+ deliverables: 01_Getting_Started (PDF), 02_Self_Assessment_and_Diagnostics (XLSX/PDF), 03_Requirements_and_Goal_Setting (XLSX/PDF), 04_Models_and_Frameworks (PDF), 06_Processes_and_Execution (PDF/XLSX), 07_Performance_and_KPIs (XLSX), 08_Quality_and_Governance (PDF), 09_Sustainment_and_Improvement (PDF), 10_Advanced_Topics (PDF), 11_Reference_and_Quick_Cards (PDF), plus README.md and CUSTOMER_EMAIL.txt onboarding files
How This Helps You
With the Autonomous Vehicles Complete Self-Assessment, you gain immediate, structured visibility into gaps that could otherwise lead to certification delays, regulatory scrutiny, or safety recalls. Each of the 633 criteria is mapped to recognised standards, so you can demonstrate compliance with ISO 26262, SOTIF, and NHTSA expectations without guesswork. The automated dashboard enables rapid scoring and reporting, saving hundreds of hours in manual assessment and reducing time-to-audit-readiness by up to 70%. By identifying functional safety weaknesses or edge-case coverage gaps early, you reduce costly rework, avoid repeated testing cycles, and accelerate time-to-market. Without this framework, your programme risks undetected design flaws, ambiguous accountability, and audit findings that could delay deployment, or worse, lead to post-deployment incidents that damage brand trust and invite regulatory penalties.
Don’t let incomplete assessments compromise your autonomous vehicle programme’s safety, compliance, or timeline. The Autonomous Vehicles Complete Self-Assessment is not just a checklist, it’s your operational blueprint for certification readiness, risk reduction, and engineering excellence. By investing in this toolkit, you’re choosing proactive governance over reactive failure, and structured confidence over costly uncertainty.
What does the Autonomous Vehicles Complete Self-Assessment include?
The Autonomous Vehicles Complete Self-Assessment includes 60+ downloadable files delivered by email within 24 business hours: 633 self-assessment criteria in XLSX format, an automated Excel dashboard with scoring and reporting, a customisable RACI Matrix generator, a comprehensive PDF guide with annotated criteria, and a seven-domain maturity framework covering Functional Safety, Cybersecurity, Sensor Integration, Decision Logic, ODD, HMI, and Regulatory Governance. Also included are Platinum Tier resources such as a 90-day roadmap, incident response runbook, and observability dashboard, all structured across 11 numbered folders with README and onboarding support.