Practical guide

Design human review that can actually change the outcome.

A named reviewer is not enough. Meaningful review requires accessible evidence, relevant competence, sufficient time, actual authority, a reversible decision point, and an escalation path.

Start with the authority guide

Why the phrase is insufficient

A person can be present without providing a meaningful control.

“Human in the loop” does not say whether the person can see the governing evidence, understands the decision, has time to inspect the output, can reject it without penalty, or acts before an irreversible consequence. A reviewer who only clicks approve after a system has already changed a record or triggered production is not the same as a reviewer who can challenge the basis before action.

Design review around the decision, not around a generic approval button. Name what the system proposes, what evidence accompanies it, what the person must determine, what authority that person holds, and what happens when information is incomplete or disputed.

Assistance categories

Define the useful assistance before assigning review.

These verbs describe assistance, not authority. Connecting the capability to a company system or receiving fluent output does not give it permission to approve, commit, release, dispose, or change controlled work.

Retrieve

Find potentially relevant information from approved sources while preserving source identity, permissions, revision, and applicability.

Compare

Highlight differences between supplied documents, records, or revisions for a qualified person to evaluate.

Organize

Structure incoming information, list omissions, classify routine content, and prepare a review queue without resolving material uncertainty.

Draft

Prepare a summary, clarification request, work note, or response that a named person verifies before use.

Authority map

Separate assistance, recommendation, decision, execution, and oversight.

Illustrative manufacturing AI authority map
Stage	System may	Person must	Evidence needed	Escalation example
Assist	Retrieve, compare, extract, organize, draft, or flag.	Confirm the task and inspect relevant sources.	Citations, scope, inputs, revision, and uncertainty.	Missing or conflicting governing source.
Recommend	Propose a classification, action, or disposition.	Evaluate the rationale and alternatives.	Criteria, supporting facts, exceptions, and test behavior.	Case lies outside validated conditions.
Decide	Record an authorized person’s disposition.	Make the decision within actual delegated authority.	Complete decision package and unresolved items.	Authority belongs to another function or customer.
Execute	Prepare a downstream action after approval where permitted.	Confirm preconditions and retain the ability to stop.	Approval identity, state, change record, and safeguards.	Material mismatch between approved and executable state.
Oversee	Aggregate performance, errors, changes, and exceptions.	Review continued suitability and order correction, pause, or retirement.	Usage, failures, incidents, drift, complaints, and outcomes.	Risk or operating conditions materially changed.

Retained decisions

Keep each consequential decision with its authorized owner.

Illustrative retained manufacturing authority
Authority area	Decisions people retain	Operating question
Commercial	Pricing, margin, terms, delivery commitments, bid decisions, and contractual acceptance.	Who can commit the company, and what review is required first?
Engineering	Design approval, technical interpretation, process approval, and release of manufacturing instructions.	Which qualified role controls the technical decision?
Quality	Inspection acceptance, nonconformance disposition, corrective-action approval, and product release.	Which authorized quality role accepts or escalates the evidence?
Operations	Schedule priorities, resource assignments, material movement, supplier decisions, and production changes under company policy.	Who owns the operating consequence and can stop the work?
Technology and data	Identity, permissions, approved sources, system connections, retention, logging, and production deployment.	Who authorizes the system and information boundary?

Consequence and reversibility

Increase the control before the cost of error increases.

A low-consequence internal draft may need a straightforward fact check. A supplier disposition, quality acceptance, engineering change, personnel action, safety instruction, contractual commitment, or production release requires authority and evidence appropriate to that decision. Some uses may remain unsuitable for AI assistance even with a reviewer if the system adds little value or creates automation bias, delay, opacity, or unacceptable information exposure.

Place review before the consequential action, not after it.
Give the reviewer enough source context to independently challenge the proposal.
Avoid interface defaults, volume targets, or time pressure that turn review into automatic confirmation.
Create a safe route to pause, reject, correct, or request additional evidence.

Worked example

Review a proposed manufacturing requirement change.

A system compares a new customer package with the approved baseline and proposes that three requirements changed. It supplies the source passages, revision identifiers, extracted values, comparison logic, and two unresolved conflicts. The manufacturing engineer may assess process impact, but cannot silently resolve a customer-quality interpretation that belongs to another authorized function.

The workflow therefore records each proposed delta separately, assigns the applicable reviewer, keeps conflicts open, and prevents a downstream baseline update until the required dispositions exist. The system can compile the package and record the decisions; it cannot turn its own extraction into approval. If the source is missing or authority is unclear, escalation is the correct result.

Escalation triggers

Define when normal review must stop.

A governing source is missing, obsolete, ambiguous, inaccessible, or conflicts with another source.
The case falls outside the evaluated product, process, user, information, or consequence boundary.
The reviewer lacks competence, delegated authority, independence, or sufficient time.
The output could affect safety, compliance, quality acceptance, configuration, personnel, contract, or release beyond the reviewer’s role.
A material model, integration, source, instruction, policy, or workflow change invalidates prior evaluation.
Repeated corrections, incidents, overrides, or user workarounds indicate the control is not working as intended.

Evidence record

Preserve enough context to understand the decision later.

For a consequential workflow, the record may need the input state, governing source and revision, system version or configuration, generated proposal, cited evidence, uncertainty, reviewer identity and role, disposition, comments, escalation, downstream action, and later correction. Retention, access, signatures, validation, and audit requirements depend on the actual process and must be set by authorized owners.

Authority card

Record the boundary before employees practice the task.

Use the card to train the task and test whether the operating roles agree. If the source owner, reviewer, final authority, or prohibited actions are unclear, resolve that condition before adding more automation.

AI may: the exact retrieval, comparison, organization, drafting, or flagging action.
AI may not: prohibited decisions, system writes, external communications, and information use.
Source owner: the role that controls the information used by the workflow.
Reviewer: the qualified role that checks the output and supporting sources.
Final authority: the person who can approve, commit, release, accept, or dispose.
Escalation: the uncertainty, missing source, exception, or failure that stops normal processing.
Evidence: the source, version, system output, review, disposition, and action record retained for the workflow.

Stress test

Ask whether the person can genuinely disagree.

Use a direct practical test: if an incorrect output could commit the company, release product, accept nonconforming material, alter controlled instructions, or expose restricted information, require stronger deterministic controls and explicit human review. A prompt telling the model to “be careful” is not an authorization system.

Can the reviewer see the original source rather than only the generated summary?
Can the reviewer explain the criteria and identify what the system does not know?
Can the reviewer reject or pause without the system already creating an irreversible effect?
Does the reviewer have authority for this exact decision—not merely a nearby job title?
Will the workflow route conflicts and out-of-scope cases to the correct function?
Can the organization reconstruct, correct, and learn from the decision after the fact?

Apply the authority boundary

Connect human review to the architecture and the operating decision.

The Technology Stack shows where permissions, sources, systems, and review fit. AI Direction is the next step when a company needs to apply the model to real workflows.

See the Manufacturing AI Technology Stack Explore AI Direction