Energetic Paradigm
Energetic Paradigm develops methods and tools for evaluating whether AI-mediated workflows remain controllable after repeated deployment. Instead of judging only whether an AI output sounds safe or compliant, EP examines how AI changes authority, tempo, supervision, rollback capacity, traceability, feedback, and institutional control.
What We Build
EP Agent Evaluator
Tests AI agents before deployment for hidden control failures, authority drift, false fixes, rollback weakness, and supervision gaps.
EP Workflow Control Dashboard
Helps organizations identify where AI automation changes who controls decisions, how fast actions escalate, and whether correction remains possible.
EP Governance Benchmarks
Converts the EP research program into reusable evaluation cases for AI systems, software workflows, healthcare AI, and institutional decision systems.
Why It Matters
The main risk of AI agents is not only wrong output. The deeper risk is that AI changes the decision system itself: who decides, who supervises, who can stop the process, and whether harmful action can be reversed. EP focuses on this structural control layer.
Current Focus
AI agent safety, software engineering governance, healthcare AI workflows, institutional decision systems, and high-stakes automation.
Research Foundation
The EP research program includes work on structural AI governance, agent-control auditing, workflow feasibility, cancer stem-cell state modeling, strategic world modeling, and high-stakes decision systems. These papers serve as a moat map: they show that EP is not a single prompt method, but a broader control theory and product direction.
Founder
Dr. Wesley Shu
Founder, Energetic Paradigm
MBA, Indiana University
Ph.D. in MIS, University of Arizona
Contact
Funding, pilot partnerships, investor conversations, and research collaboration:
shu@energeticparadigm.org
shuwesley@gmail.com