Method

Trusted AI operating model

Principles and reusable patterns for deciding what should be human-owned, what should be handled by deterministic tools, and where AI should genuinely add leverage.

Human-owned

  • Judgment, trade-offs, accountability, and final recommendations.
  • Business context that is political, tacit, or strategically sensitive.
  • Decisions where the cost of being wrong is high.

Deterministic tools

  • Calculations, joins, checks, reconciliations, and repeatable transformations.
  • Version control, source retrieval, validation, and audit trails.
  • Anything where exactness matters more than interpretation.

AI-supported

  • Synthesis across messy inputs.
  • Drafting narratives, options, and decision frames.
  • Finding gaps, contradictions, assumptions, and useful next questions.

Operating principle

Use AI to accelerate sensemaking, not to launder uncertainty into confidence. The workflow should make evidence, assumptions, and human ownership more visible.