AI-Augmented

Practice → Role example

Create an AI-Augmented Team Decision Brief

A team uses AI to prepare a decision brief while keeping evidence, assumptions, options, and ownership visible. This is an illustrative workflow, not a customer case study.

Problem

Teams often reach a decision with scattered context, unclear tradeoffs, and no record of what still needs review.

Human Role

The team defines the decision, evaluates consequences, chooses among options, and assigns ownership.

Where AI Helps

AI can organize source material, compare options, draft questions, and identify missing information.

Where Human Judgment Stays

People validate claims, interpret local context, resolve disagreement, and make the accountable decision.

Workflow

  1. State the decision, audience, constraints, and deadline.
  2. Gather source material and ask AI for a structured comparison.
  3. Check evidence, assumptions, risks, and missing voices.
  4. Record the decision, owner, review point, and open questions.

AAOS Mapping

Diagnose the decision, Activate a bounded use, establish Controls, Execute with review, Measure decision quality, and Scale the pattern only when it is reliable.

Common Failure Modes

  • Confusing a polished summary with a sound decision.
  • Letting AI-generated options narrow the discussion too early.
  • Leaving the owner and review threshold unstated.

What Good Looks Like

The brief shows the decision, evidence, assumptions, tradeoffs, owner, and next review point clearly enough for the team to act.

Next Step

Use the assessment to choose the next team capability to strengthen.

Use this pattern carefully

This example is illustrative. Adapt the workflow to the people, evidence, controls, and consequence level in your own context before using it.

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