Operating Brief

Item This lesson
Decision Decide how the workflow will move from experiment to normal work without transferring hidden burden to frontline staff.
Output An adoption and transition plan.

Workflow Problem

An AI pilot can improve a model metric while making the team’s work worse. Review queues may grow, responsibilities may become unclear, corrections may disappear, and staff may distrust the system because they were shown a finished design rather than involved in defining it.

Adoption is not a communication campaign after deployment. It is part of workflow design.

Identify the Role Changes

For every affected role, state:

  • what work is removed;
  • what new work is added;
  • which decisions remain theirs;
  • which evidence they will see;
  • how they correct the system;
  • what happens when they disagree;
  • how performance will be measured fairly.

A system that “saves time” by adding invisible review and exception work has not proven value.

Use Shadow Mode

Before automated routing or action, run the system beside the existing process:

  1. The normal workflow remains authoritative.
  2. AI produces its proposed output.
  3. Staff compare the proposal with the actual decision.
  4. Corrections are categorized.
  5. Review volume, time, and confusion are measured.
  6. Only selected low-risk cases move to assisted mode after a gate review.

Shadow mode separates learning from operational risk.

Train Around Decisions, Not Features

Training should answer:

  • When should I accept the suggestion?
  • What evidence must I check?
  • When must I reject or escalate?
  • How do I record a correction?
  • Who can change labels, rules, sources, or thresholds?
  • Who may pause the workflow?

A product tour is not operating training.

Measure Adoption Honestly

Useful measures include:

  • acceptance, edit, rejection, and escalation rates;
  • reviewer time per item;
  • queue or backlog effects;
  • repeated correction categories;
  • staff confidence by risk tier;
  • use of unsupported workarounds;
  • outcomes by team, shift, language, or case type.

Low usage may indicate weak value, poor training, or rational resistance to bad design.

Practice: Write the Transition Plan

Area Required decision
Stakeholders Who defines labels, controls, metrics, and exceptions?
Shadow mode Duration, sample size, baseline, and exit criteria
Training Decisions, evidence, corrections, and escalation
Capacity Expected review volume and service level
Feedback How corrections reach the owner and change process
Incentives How staff are measured while the workflow changes
Gate Conditions for assist mode, partial automation, expansion, or rollback

Include one explicit promise to affected staff: what the pilot will not automate or use for performance management without a separate decision.

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