Omnex AutoAssesspro.AI – AI Agent that automates Automotive SPICE® (ASPICE) process reviews, saving time, reducing errors, and improving compliance across your embedded systems projects. Omnex developed AutoAssesspro.AI in Partnership with BorgWarner.
AutoAssessPro.AI is powered by O-BOT (the Omnex AI Platform for EQMS).
AutoAssessPro.AI performs capability evaluations on your organization’s embedded systems projects by connecting seamlessly with your IT infrastructure—including repositories for requirements, test cases, issues, change requests, and more—to generate prioritized findings for improvement.
AutoAssessPro.AI leverages a combination of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and programming logic to perform both qualitative and quantitative analysis of project work products, ensuring consistency, compliance, and achievement of targeted capability levels.
How does AutoAssesspro.AI Work
World’s First AI-powered ASPICE Work Product Reviewer
Automotive SPICE® (System Process Improvement and Capability Determination) is the global framework used by OEMs, Tier 1s, and Tier 2s to evaluate and improve embedded systems development processes.
Ensures higher efficiency and fewer defects in product development.
Adopted widely in the automotive and semiconductor industries.
Lays out requirements for defining and evaluating processes such as planning, change management, defect management, supplier monitoring, design, verification, and quality assurance.
ASPICE defines Capability Levels (CL) that measure how well an organization’s processes are established:
CL 0 – Incomplete: Processes not implemented or fail to achieve objectives.
CL 1 – Performed: Outcomes achieved, but inconsistently.
CL 2 – Managed: Processes are planned, monitored, and controlled.
CL 3 – Established: Organization-wide standard processes in place.
CL 4 – Predictable: Data-driven, quantitative management of processes.
CL 5 – Innovating: Continuous improvement and adaptation.
Organizations face multiple hurdles:
Manual Assessments time-consuming, error-prone, and limited to small samples.
Fragmented Documentation spread across various islands of information such as Jira, Jama, Doors, Polarion, Testrail, Eneterprise Architect, SharePoint, Excel, Visio, Word, and PDFs etc.
Scalability Issues assessments take days, slowing down projects.
Inconsistent Tracking change requests, problem resolution, and configuration management often missed.
The AutoAssesspro.AI leverages AI, ML, NLP, and LLMs to automate compliance checks and process reviews:
Real-Time Compliance - Evaluates projects in minutes instead of days (45 mins per project).
100% Sampling – Reviews all process data, not just a sample.
Automated Insights – Detects risks, gaps, and compliance issues instantly.
Seamless Toolchain Integration – Connects with your tool chains and other inhouse repositories to evaluate ASPICE compliance.
Scalable & Consistent – Standardizes assessments across global teams.
Prevents Manual Errors – AI-driven checks eliminate inconsistencies.
Implementing ASPICE O-BOT delivers measurable business impact:
Per Project Savings: $900K – $1.4M (12 processes)
Organizational Savings: $150K – $170K in overhead per project
Faster Assessments: Real-time evaluations vs. days of manual effort
Increased Reliability: Data-driven defect reduction and better release quality
Resource Optimization: Engineers focus on innovation instead of detective QA
Improved Compliance Accuracy: Eliminates human error in process reviews
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