AI Workflow Triage

AI workflow triage is the implementation discipline of decomposing a business process before deciding where AI belongs. In E240｜OpenAI联手PE砸下40亿美元，聊聊硅谷最火新职位FDE, Oliver describes Invisible Technologies breaking workflows into steps and deciding which should be deterministic, which can use AI, and which require human review. The concept keeps Agentic Workflow grounded in operating reality: not every step benefits from probabilistic generation or agent judgment.

Key Claims

• Good AI deployment starts with a workflow map rather than a model demo.
• Deterministic steps such as account reconciliation or arithmetic should use hard-coded systems, math, or system-of-record data when exactness is required.
• AI-suitable steps often involve language, search, synthesis, recommendation, customer context, or unstructured document handling.
• Human-review steps remain important where judgment, permission, accountability, customer trust, or regulatory responsibility cannot be delegated cleanly.
• The triage frame explains why enterprise AI value can be large even when only part of a workflow is automated: value comes from the redesigned system, not from forcing AI into every step.

Connections

• Invisible Technologies and Oliver — source company and speaker.
• Business-Led AI Transformation — organization-level frame that requires workflow diagnosis.
• Human Judgment Under AI — responsibility boundary around AI-supported steps.
• Agentic Workflow, Deterministic Audit Data, and AI Coding Verification — adjacent workflow, evidence, and verification themes.