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
April 17, 2026What does it take to succeed as a technology consultant in systems engineering? In this interview, Austin Vávra shares his journey from mechanical engineering to consulting, offering insights into interdisciplinary work, problem-solving in complex systems, and practical career advice for young professionals entering the field.
working@invensity
March 17, 2026Mergers & Acquisitions
February 12, 2026
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Mergers & Acquisitions
January 30, 2026INVENSITY supports ABC Kochwerk, a leading community catering provider in Northern Germany, with a commercial vendor due diligence. The commercial vendor due diligence is part of the company's growth financing process.
Artificial Intelligence
January 27, 2026AI 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, 2026INVENSITY 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, 2025AI 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, 2025In 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.
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