Not long ago, a thinking machine was science fiction. Today, every major profession — law, tax, audit, risk — runs on some form of AI. The conversation has shifted from “should we use AI?” to “which AI can we trust with work that matters?”

In 1956, scientists at Dartmouth College aimed to simulate human intelligence. Breakthroughs in computing power, data, and algorithms led to generative AI and now agentic AI. Agentic AI plans, executes complex tasks, retrieves content, and adapts mid-task, checking its own work. Where Gen AI drafts, agentic AI runs entire workflows.

AI benefits decision-making, automation, and learning. 71% of risk and fraud professionals use Gen AI for risk assessment. AI validates identities, catches synthetic fraud, and spots patterns humans miss.

Automation now means AI reading thousands of documents in hours. Professionals adopting agentic AI responsibly are writing the playbook others follow.