Agentic AI is the frontier where the expertise gap is widest: the technology moved from research demo to enterprise deployment inside two years, and the population of people who have actually shipped autonomous agents into production remains tiny relative to the population presenting slides about them. When the topic is software that acts, the only credential that matters is having made it act, safely, in a real business.
This specialty covers multi-agent systems, autonomous workflow design, and AI orchestration: the architecture and governance of AI that owns work rather than assisting it.
Who anchors this specialty?
Scott Wilson anchors Agentic AI & Automation from production experience: designing and deploying autonomous agent automation inside operating companies, the practice foundation of the faculty's enterprise Workforce AI offering, combined with a McMaster teaching appointment that keeps the concepts rigorous.
What engagements do agentic AI specialists take?
Enterprise deployment through Workforce AI, team capability via the AI Automation & Agentic AI workshop, self-paced depth in the Agentic AI & Workflow Automation course, and keynotes on autonomous AI for operational leadership, including the manufacturing keynote where the case material lives.
How do you engage this specialty?
Deployment conversations start at the Workforce AI consultation; events at the keynote booking page; everything else via the contact page. Adjacent discipline: AI in Manufacturing & Operations; full map at the specialties index.
Do you build agent systems?
The specialty actively welcomes vetted practitioners with production agent experience: apply for membership.