This paper proposes the Human-in-the-Loop (HITL) commit-point architecture for trustworthy agentic AI deployment in enterprise scheduling. The core architectural decision is full LLM autonomy across all reversible workflow steps, with a mandatory single-click human approval before any irreversible calendar write operation is initiated. The paper introduces the Reversible/Irreversible Action Taxonomy as a generalizable framework for identifying HITL placement in any agentic system, and analyzes empirical evidence from 1,318 baseline system scheduling requests across 128 organizations and 2,963 users that document the enterprise trust barrier motivating the design. The claimed HITL commit-point architecture has not yet been deployed to production users at the time of writing. Key contributions: (1) the HITL commit-point pattern as a proposed architectural approach grounded in empirical evidence of an unsolved enterprise adoption problem; (2) the Reversible/Irreversible Action Taxonomy as a generalizable HITL placement framework; (3) empirical evidence from 128 organizations showing 27.1% of scheduling blockers arose at the irreversible commit point, validating the architectural premise; (4) a rejection feedback loop method enabling adaptive re-scheduling without workflow restart. The architectural methods described in this paper are the subject of USPTO Provisional Patent Application No. 64/064,852, filed May 13, 2026.
Raj Lal (Wed,) studied this question.