INVENSITY News & Insights

Because stories matter. Have a closer look at our talents, our competencies, our potential for innovation, and the dynamics of our ever-evolving company.

  • working@invensity

    March 17, 2026

    Project management plays a crucial role in turning ideas into successful outcomes. In this interview, Project Management Consultant Stefanie Weng shares insights into her career journey, her experience in technology consulting, and valuable advice for young professionals interested in project management.

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  • Artificial Intelligence

    January 27, 2026

    AI is moving from chat to action. This whitepaper explains how AI Agents combine reasoning, tools, and autonomy to solve real business problems—and what organizations must consider to successfully adopt them.

  • Press Information

    January 22, 2026

    INVENSITY GmbH has entered a strategic partnership with ALEE to provide integrated homologation, safety, and cybersecurity services for vehicle manufacturers and suppliers. Following successful KBA authorization, the partners now offer a seamless one-stop solution covering testing, assessments, and approval documentation.

  • Cybersecurity

    November 20, 2025

    AI is transforming cybersecurity at a pace never seen before. While organizations rely on AI to automate protection and detect threats faster, cybercriminals are using the same technology to enhance attacks, bypass defenses, and exploit new vulnerabilities. This article explores how AI simultaneously strengthens and undermines cybersecurity and why this duality has created a new, high-speed arms race.

  • Artificial Intelligence

    November 14, 2025

    In the second article of our four-part series on Generative AI integration, we explain how organizations advance from Level 1 (Exploring AI) to Level 2 (Defining GenAI Use Cases). We outline how to set AI criteria, select and define use cases, implement them, and monitor progress.

  • Artificial Intelligence

    November 11, 2025

    AI may feel powerful, but it still faces major limitations like hardware and training bottlenecks, unreliable or hallucinated answers, uneven progress between tech companies, and growing legal restrictions around safety and copyright. This article breaks down what today’s language models and generative AI can realistically do and where their boundaries still hold firm.