From Automation to Agentic Systems — Amos Bar Joseph (Swan AI)

Description

Amos Bar Joseph, CEO of Swan AI, joins Julia Nimchinski to redefine what “agent swarm” really means in go-to-market organizations. He contrasts AI automation with multi-agent architecture, showing how decision-making moves from hard-coded logic to adaptive intelligence. The discussion dives into how agentic systems become co-workers that learn and improvise in real time. Amos explains why most AI implementations fail and how leaders can reverse the odds by optimizing for adaptation over perfection. He shares Swan AI’s feedback-loop framework for measuring ROI, mapping human-AI collaboration to each individual’s goals and “zone of genius.” The session ends with his vision of autonomous businesses where small teams scale through AI leverage, not headcount. Watch now to learn how adaptive agentic systems unlock ROI and reshape the future of GTM operations. https://hardskill.exchange/ai-practice-sessions/agent-swarms/