Christiaan de Nysschen

Updated September 2026. Originally published November 2025.   Artificial intelligence is becoming part of everyday business workflows, but not every AI model is equally suited for every task. One model may excel at writing and brainstorming, while another may be better suited for data analysis, technical work, or tasks involving sensitive information. A multi-model LLM

Updated September 2026. Originally published December 2025.   As businesses adopt artificial intelligence (AI), one truth is becoming clear: successful AI adoption isn’t just a technology challenge. It’s a people and process challenge. AI change management is the process of preparing employees, workflows, leadership, and governance for the changes that come with adopting AI. For

Artificial intelligence has officially arrived in the workplace — and its impact could rival the Industrial Revolution. According to McKinsey, AI has the potential to unlock up to $4.4 trillion in annual productivity gains for businesses worldwide. With large language models (LLMs) now available from leading developers like Anthropic, Cohere, Google, Meta, Mistral, and OpenAI,

AI tools like ChatGPT™, Copilot®, and Gemini™ are already being used by employees in businesses of every size. But while these tools can drive efficiency, they also introduce risks when used without oversight — from accidental data leaks to compliance violations.  According to recent research highlighted by Forbes, while employers are rapidly investing in AI