Time:
Nov 5, 2026 11:00 AM EST
Speaker:
Nikhhil Unnikrishnan
Abstract:
As organizations transition to Automotive SPICE® PAM 4.0, engineering teams face increased expectations for work product quality, consistency, traceability, and objective evidence across the development lifecycle. Manual reviews remain time-consuming, difficult to scale, and often struggle to provide comprehensive coverage of project data.
Join this webinar to learn how AutoAssessPro has been upgraded to support ASPICE PAM 4.0 compliance while also including additional capabilities to include user feedback learning loop. We will explore how AutoAssessPro leverages AI and ASPICE-specific review intelligence to automate and enhance work product assessments for PAM 4.0. Unlike generic AI solutions, AutoAssessPro combines deterministic review rules with AI-powered analysis, embedding ASPICE expertise directly into the review process to deliver consistent, evidence-based findings. The platform connects to existing engineering ecosystems, including requirements, architecture, testing, change management, and project repositories, enabling automated evaluation of the latest project information.
Attendees will learn how AutoAssessPro supports reviews of technical work products expected in ASPICE PAM 4.0 (e.g. requirements, architectures, test cases, project strategies, problem records, change requests). With PAM 4.0 introducing significant updates across systems engineering, software engineering, integration, qualification testing, and support processes, AutoAssessPro helps organizations efficiently adapt review logic and maintain assessment readiness.
The session will show how AI analysis across projects can uncover systemic process weaknesses, with real-world examples of reduced review effort, better coverage, and faster assessment preparation.
Whether you're preparing for a PAM 4.0 assessment or modernizing engineering reviews, this webinar offers practical guidance on bringing AI into your ASPICE compliance process.
