How do we establish clear decision-making boundaries in our company policy so employees know exactly which operational decisions AI can execute autonomously versus which require human sign-off?

Question

Tyler Smith · Accepted Answer

A functional AI policy must define operational decision rights, not just data security. Without explicit boundaries, employees either abdicate critical judgment to software or refuse to use automation altogether out of fear. You can establish clarity by dividing company workflows into three distinct operational tiers.

Tier 1 covers assistive production. In this tier, AI models draft content, summarize documents, or reformat internal files. The human employee retains total operational responsibility for verification, editing, and distribution. No AI-generated output leaves the company or reaches another department without human review.

Tier 2 covers structured transactional execution. These are low-risk, rule-based operations where the machine executes tasks autonomously, provided strict parameters are met. Examples include categorizing inbound support tickets against a fixed taxonomy, extracting invoice data into accounting software, or sending appointment reminders. Every automated action must produce an immutable audit log, and any edge case outside standard rules automatically routes to an employee queue.

Tier 3 covers high-stakes determinations. AI must never autonomously approve pricing exceptions, alter contractual terms, terminate client services, or evaluate employee performance. These decisions require business judgment, emotional intelligence, and direct human accountability.

Embed these tiers directly into your Process Component. When an employee runs a core process, the SOP must state the tier for each step. On your Accountability Chart, make department managers responsible for auditing Tier 2 exceptions and validating that their teams actively inspect Tier 1 drafts.