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In this whitepaper, we explore the implications of the EU AI Act for businesses, detailing how organizations can navigate compliance through risk-based AI system classification, employee training, and the implementation of governance structures. Special attention is given to AI literacy as a key enabler - not only for regulatory alignment but also for driving innovation and operational efficiency across the enterprise.

AI is transforming project reporting by cutting down manual effort and enhancing accuracy. Using Microsoft Copilot, teams can automate the extraction of project status, risks, and next steps directly from meeting notes and project plans. Especially in multi-project environments or tight reporting cycles, this approach reduces workload, supports strategic focus, and increases reporting efficiency. Learn how structured data and well-designed prompts enable Copilot to deliver clear, actionable reports in seconds.

As part of the SALSA research project, INVENSITY conducted a TARA following ISO/SAE 21434 to ensure cybersecurity for external Human-Machine Interfaces (eHMI) in autonomous vehicles. By identifying assets, analyzing threats, and prioritizing risks early in development, this approach strengthens both safety in mixed traffic and public trust in automated driving. The analysis highlights how proactive, security-by-design thinking is essential for resilient and socially accepted vehicle technologies.

The SALSA project is revolutionizing road safety by addressing the integration of automated vehicles into mixed traffic. Focusing on safety, user trust, and adaptive communication systems, SALSA develops standardized eHMI solutions and legal frameworks to ensure smooth and secure interactions between all road users. Supported by the German Federal Ministry for Economic Affairs and Climate Protection, the project paves the way for the future of mobility.

INVENSITY supported COHEMI Group, a Silver Investment Partners portfolio company, in acquiring NOVEDAS Consulting with a customer and potential assessment. This acquisition strengthens COHEMI Group’s IT project management, agile methods, and IT architecture services, expanding value for its combined customer base.

Generative AI is revolutionizing business innovation by streamlining processes and driving efficiency. Learn about the four distinct levels of Generative AI integration - exploration, refinement, automation, and optimization - and how they can guide your organization toward AI-enabled transformation. This structured roadmap ensures sustainable adoption, measurable results, and a future-proofed enterprise in the age of complex technologies.

This whitepaper explores the potential of Large Language Models (LLMs) in the development of GenAI-powered chatbots.

Choosing the right toolchain is critical for effective project lifecycle management. This guide compares leading tools like GitHub, PTC Integrity, Codebeamer, and Polarion, highlighting their strengths, weaknesses, and industry-specific applications. Learn how INVENSITY can help you supercharge your processes with tailored solutions.

The technology and management consultancy INVENSITY GmbH advised VR Equitypartner GmbH and Süd Beteiligungen GmbH on their majority investment in DEKOM AG with a commercial and an environmental, social, and governance (ESG) due diligence.

This article examines the implementation of Model-Based Development (MBD) in automotive software engineering, emphasizing its advantages over traditional code-based development methods. With the increasing complexity of modern vehicles—driven by advancements in electrification, autonomous systems, and connected technologies—MBD has emerged as a robust solution for managing these challenges. MBD enables engineers to model systems graphically, allowing for early simulation, testing, and automatic code generation, which reduces development time and enhances system reliability.