AI without governance scales chaos
The gap between investment and impact in IT has rarely been as wide as it is today. Companies spend millions on LLMs, copilots, agent systems and automation platforms and yet […]
Deliberation instead of an endless loop
How to break the deadlock in decision-making meetings - with Jürgen Habermas, Bowtie Analysis and decision-capable system architecture
OpenShift AI – Secure and scalable AI for companies
Artificial intelligence is no longer just a trend, but an integral part of modern corporate strategies. At the same time, the requirements for security, scalability and compliance are increasing, especially […]
Noesis: How metaprompts bring corporate culture to every decision
Why strategy can look brilliant in PowerPoint and still remain invisible in the daily. And how this can be changed with AI.
Efficient process automation in the banking sector with AI and cloud technologies
Digitalization in the financial sector is progressing inexorably, and banks are facing the challenge of making their core systems more efficient, automated and AI-supported. Especially in process automation, modern CRM systems, workflow management and document processing are crucial for smooth and efficient customer interaction. In this article, we show how ONLU, as an IT consulting company, supports banks in modernizing their systems and making them more productive.
Understanding agentic AI: closing the gap between narrow and general intelligence
Learn how Agentic AI is bridging the gap between narrow and general intelligence and providing transformative solutions for healthcare, government and disaster relief. Discover why this next wave of AI could redefine the way we work, live and adapt to modern challenges.
How AI agents can simplify banking processes: A solution to the challenges of modern finance
In today's banking world, institutions are facing a variety of challenges: increasing regulatory requirements, customers' desire for faster and more personalized services and the pressure to reduce costs and work more efficiently at the same time. One potent approach to solving these problems lies in the integration of AI agents, i.e. artificially intelligent systems that can automate and optimize various tasks.
Ready to use AI on Microsoft Azure
zure Use-Cases: Business Intelligence, AI Chatbots, Power Platform AI Builder. Plus, 14 financial services applications like risk assessment, fraud detection, and customer support.
