AutoAssesspro.AI: Automating ASPICE Work Product Reviews

In today’s competitive automotive and embedded systems landscape, achieving Automotive SPICE (ASPICE®) compliance is critical. However, manual work product reviews are often slow, inconsistent, and increasingly difficult for high-velocity development teams to sustain. Traditional assessments can take days, rely on limited samples of documentation, and frequently miss subtle gaps in traceability or compliance. At the same time, engineering and quality teams must manage fragmented data across multiple repositories for requirements, architecture, test cases, change requests, defects, document control, and project management—often stored in different formats.

In this webinar recording, we introduce AutoAssessPro.AI, the world’s first AI-driven ASPICE work product reviewer that leverages artificial intelligence, machine learning, natural language processing (NLP), and large language models (LLMs) to automate and scale compliance reviews across embedded systems projects. The session demonstrates how this solution accelerates assessments by analyzing 100% of project artifacts, generating prioritized findings, and identifying compliance gaps in minutes rather than days. It also shows how organizations can standardize evaluations across global teams, reduce human error and manual effort, and free up engineering and quality teams to focus on higher-value activities.

During the webinar, we explore:

• Challenges in Traditional Assessments: Addressing manual effort, limited sampling, and inconsistent insights.
• Toolchain Integration: How AutoAssessPro.AI integrates with tools such as Jira, Polarion, and SharePoint to ingest requirements, test cases, and unstructured data.
• The Role of AI and LLMs: Enabling qualitative and quantitative evaluations to improve traceability and consistency.

Key Takeaways:

• Transformation: How AI-powered automation improves ASPICE readiness and compliance confidence.
• Integration: Practical insights for incorporating automated assessments into existing development workflows.
• Efficiency: Strategies to reduce review cycle times while improving the quality and consistency of assessments.

Speaker

Nikhil Unnikrishnan

Nikhil Unnikrishnan is a Consultant with a broad range of experience, involved in the design & development of hardware, software and mechanical systems and components. He has worked with organizations to analyze process deficiencies and drive improvement by implementing best-in-class practices conforming to internationally recognized standards such as Automotive SPICE®, ISO 26262 Functional Safety, ISO 9001 & IATF 16949 Quality Management Systems. Nikhil has been involved with performing detailed documentation reviews, Automotive SPICE®, Functional Safety & QMS assessments, process documentation development and conducting roll-outs for numerous leading automotive organizations including multiple Software and Hardware systems. Mr. Unnikrishnan is a Certified Green Belt in Lean Six Sigma Methodologies (CLSSGB) and also Certified Quality Process Analyst (CQPA). He is an Exemplar Global certified Lead Auditor for IATF 16949:2016 and ISO 9001:2015.

Antony John

Antony John is the Vice President of Omnex Systems. He has 19 years of experience transforming technology businesses across global markets and different customer industry segments, for profitable growth. Antony also possesses strong experience working in the Information Technology, Automotive, Aerospace, Oil & Natural Gas, and Insurance industries. He currently leads the Product Development of EwQIMS, a revolutionary software solution for managing Enterprise Quality for APQP, Integrated Management Systems / QHSE, and Supplier Quality used by Fortune 500 companies, OEMs, top automotive manufacturers, and large semi-conductor organizations across the globe.