This story was originally published on HackerNoon at:
https://hackernoon.com/adam-m-root-how-to-architect-agentic-ai-workflows-that-scale-across-the-enterprise.
Adam M. Root explains how enterprises can scale agentic AI with better questions, human expertise, and the PURSUIT strategy framework.
Check more stories related to machine-learning at:
https://hackernoon.com/c/machine-learning.
You can also check exclusive content about
#agentic-ai,
#enterprise-ai-strategy,
#ai-workflow-design,
#pursuit-framework,
#ai-product-management,
#multimodal-ai-systems,
#enterprise-automation,
#good-company, and more.
This story was written by:
@jonstojanjournalist. Learn more about this writer by checking
@jonstojanjournalist's about page,
and for more stories, please visit
hackernoon.com.
Enterprises struggle to scale agentic AI because they chase tools instead of defining real problems. Adam M. Root argues that human expertise, strong questions, and strategic frameworks like PURSUIT—not models—drive meaningful, scalable AI workflows. Multimodal advances won’t matter without validated inputs and expert oversight.