Option B gives the most accurate definition of workflow optimization. The objective is to improve measurable performance—such as cycle time, quality, consistency, cost, or throughput—without removing controls that protect accuracy, privacy, compliance, and accountable decision-making. Claude should be introduced where its capabilities provide clear leverage, such as drafting, summarization, classification, source synthesis, or structured extraction.

Option A incorrectly assumes that fewer steps always produce a better workflow. Some steps, including validation, escalation, approval, and documentation, exist because they control significant risks. Removing them may reduce apparent processing time while increasing rework or downstream harm. Option C similarly treats maximum automation as the goal. A manual step should remain human-controlled when it requires authority, empathy, professional judgment, or responsibility for a consequential decision. Option D confuses optimization with inflexible standardization. Templates can improve consistency, but workflows must still accommodate legitimate differences in inputs and risk.

A sound optimization process maps the current workflow, measures its bottlenecks, removes duplication, selects suitable Claude-supported steps, defines hand-offs, retains necessary reviews, and pilots the revised process against a baseline. The change is successful only when evidence shows that it improves the intended operational outcomes without weakening quality or governance.