Episode 1: The agentic shift
The first episode of our Agentic AI and agentic workflows series, on the move from passive AI assistance to goal-directed agents — why it is gaining urgency now, and where it leaves traditional automation.
In this opening episode we explore a turning point in how artificial intelligence moves from passive assistance to active participation in digital work. We unpack why the idea of AI agents is gaining urgency now, as more capable language models collide with increasingly complex systems and workflows. Rather than reacting to prompts or following rigid scripts, these new systems are designed to pursue goals, make decisions over time, and adapt as conditions change.
We also look back at how automation has evolved, from early rule-driven tools to today’s more flexible approaches, and why that history matters for what comes next. By contrasting static automation with agent-based intelligence, we clarify where traditional tools still shine and where autonomous AI opens entirely new possibilities. The result is a practical lens on how work, software, and decision-making may be reshaped in the near future.