Executive Summary The article explains how Artificial Intelligence (AI) is transforming procurement from a tactical, manual function into a strategic driver of value, innovation, and resilience. By leveraging technologies such as machine learning, natural language processing, and Generative AI, organizations can automate and optimize every stage of the procurement lifecycle—from intelligent sourcing and supplier risk management to contract analysis and the procure-to-pay (P2P) process. The rise of integrated “Agentic AI” systems enables end-to-end workflow automation, predictive risk detection, and data-driven decision-making, while maintaining a human-in-the-loop approach to ensure strategic oversight. Ultimately, AI empowers procurement teams to reduce costs, improve efficiency, and proactively manage risks, positioning the function as a key enabler of organizational competitiveness and agility.

Generative AI supporting IT professionals with coding and automation. August 12, 2023 — As the initial hype around generative AI tools like ChatGPT and Dall-E subsides, IT professionals are discovering practical applications of generative AI to boost productivity and innovation. Generative AI, particularly large language models (LLMs), now deliver impressive results with minimal training, making them useful across several IT domains. Key areas of impact include code generation and review , automated documentation, synthetic data creation for privacy-compliant testing, network and system configuration automation, and AI-powered helpdesk support via chatbots. These applications reduce routine workloads and enable IT teams to focus on higher-value tasks. However, experts caution about challenges such as overly high expectations, the difficulty of integrating proprietary data for competitive differentiation, data privacy risks, and the complexity of maintaining GDPR compliance . Companies must carefully select appropriate AI tools based on model performance, latency, token limits, pricing, data storage location, and compliance requirements. Edle Everaert from ML6 emphasizes the need for realistic expectations and highlights evolving data architecture initiatives to effectively harness generative AI’s potential in IT environments. Discover how Generative AI can support IT professionals with coding and automation in the full article.

Open Grid Europe (OGE), Germany’s largest gas transmission operator, is preparing for the Energiewende by investing in hydrogen infrastructure. To anticipate future market dynamics, OGE partnered with ML6 to build a digital twin and AI-powered market simulation, ensuring a resilient and future-proof hydrogen network.

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ML6 is named as one of OpenAI’s Services Partners to drive AI adoption across Europe GHENT, BELGIUM – June 25, 2025 – ML6, a leading AI engineering partner dedicated to transforming businesses with innovative and reliable AI, announced its Services Partnership with OpenAI today. ML6 is now among OpenAI’s European services partners, who will reinforce its leadership in the rapidly evolving AI landscape. Founded in Belgium in 2013, ML6 has built a decade-long track record of translating cutting-edge AI research into business value, all while consistently staying ahead of the curve. Operating across Ghent (HQ), Berlin, Munich, and Amsterdam, ML6’s team of 140+ AI specialists is set to grow even further, with 50 new hires targeted by the end of the year.

How do you turn the ambition of a digital factory into a reality? For SWISS KRONO, it started with building the right foundation for AI ensuring data, people and processes were aligned before scaling big.