Pillar 3
AI agents & agentic automation
An AI agent doesn't just respond: it acts, across multiple steps, with or without human approval. It's the youngest topic in this space — and the one where the vocabulary is still messy.
The difference from a plain chatbot: an AI agent can chain several actions (check a system, make a decision, trigger a task) without a human re-prompting it at every step. That puts it close to RPA-style automation, while differing in its ability to adapt to situations that weren't scripted in advance.
That autonomy raises a question almost nobody covers seriously today: how do you keep control over an agent that acts on its own? Guardrails, human approval on sensitive actions, decision traceability — this is a priority angle for this pillar, precisely because we haven't found it covered independently elsewhere.
Coming on this pillar
- What is an AI agent: definition and real examples
- AI agent security and governance: risks and guardrails
- AI agent vs RPA: complement or replacement
- AI agents by department: support, sales, HR, finance