PREPARING FOR EPISTEMIC AGENTIC AI THROUGH RESPONSIBLE, BOUNDED EVOLUTION
Agentic AI is evolving—but the real question is not whether systems will become more sophisticated. It is how organizations should prepare for that evolution without eroding authority, accountability, or trust.
In Part III of this series, Preparing for Epistemic Agentic AI Through Responsible, Bounded Evolution, Ricci Mulligan examines where agentic architectures are heading and what government and regulated commercial organizations will realistically encounter over the next 12–24 months. While fully epistemic agentic AI does not yet exist in production, increasing epistemic pressure is already visible in today’s hybrid systems.
This paper explores how more expressive graph modeling, cross-model analytics, post-execution observation, and language-mediated explanation layers are expanding epistemic signal—without transferring decision authority to machines. It provides practical, stack-level guidance across hardware, cloud infrastructure, data architecture, analytics, and governance to help institutions plan deliberately rather than reactively.
Signal can increase. Authority must remain bounded.
Author: Ricci Mulligan, Alyned, Former Acting Principal Deputy Assistant Secretary, OIT, Department of Veterans Affairs (Retired)