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Editorial governance

How to review AI-generated video without losing editorial control

Review AI video edits against source footage, resolve misleading claims and joins, and record human approval for the exact campaign file you publish.

BY ANJIN MEDIA EDITORIAL8 MIN READ

An AI-generated cut can be factually verbatim and still be editorially wrong.

A sentence may be lifted accurately while its qualification is removed. Two true statements can become misleading when placed together. A clean ending can imply certainty the speaker never expressed. Review therefore has to test meaning and sequence, not only transcription.

For an in-house marketing team reusing interviews, webinars or event footage it has already paid for, the test is specific: does this edit answer the intended buyer question without making the source say more than it supports? This guide covers AI edits assembled from existing recordings.

01

Agree what this campaign edit must establish

Write down the audience, the question they need answered and the intended destination before reviewing selections. A customer describing their own implementation can support an account of that experience. It does not automatically support a general promise about every customer.

  • Message: what should a viewer understand after watching, and which source passage supports that conclusion?
  • Scope: which recordings, speakers and dates are in scope? Note any product detail or statement that needs a current check.
  • Use: where will this version appear, and who can confirm permission for that use? Paying for the recording does not settle every reuse question.
  • Owner: who will resolve editorial questions and who can approve the finished asset?

If the source cannot answer the question, narrow the brief, choose a better source or hold the idea. Use the campaign map to choose a useful role for the footage before asking for more versions.

02

Review the plan before the pixels

Start with selected transcript text, order, source identity and timecodes. At this stage, removing repetition or restoring context is fast. Once the piece is rendered, typography and motion make weak editorial decisions feel more finished than they are.

Open the original recording around each selected range. Listen to the question, the complete answer and the nearby qualification; read the transcript alongside it. Check names, numbers and negation against the audio. A timecode is a route back to evidence, not proof that the statement is true, current or cleared for publication.

Polish creates confidence. That is why the argument must be checked before the polish arrives.

03

Use the eight-part editorial check

  • Fidelity: does each segment mean what it meant in context?
  • Coverage: does the sequence answer the complete brief?
  • Progression: does every segment add rather than repeat?
  • Qualification: have limits, uncertainty and conditions survived?
  • Representation: are speakers and competing views treated fairly?
  • Provenance: can every selection be verified at source?
  • Production: are captions, crop, audio and branding correct?
  • Approval: has the accountable person accepted the claim and context?

04

Red-team the joins

Most risk sits between segments. Ask what the cut implies because one statement follows another. Check whether time has been collapsed, whether examples have become general claims and whether a response appears to answer a different question.

Reviewer prompt

What would a reasonable viewer conclude from this sequence that they would not conclude from watching each source passage in context?

05

Turn a failed check into an edit decision

These are illustrative review situations, not customer examples or measured results. Record the exact source range and the misleading implication so the editor can act on the note.

A qualification disappears

Find: a customer describes an improvement after a pilot, but the selection drops the conditions under which it happened. Revise: restore the relevant condition or reduce the claim to what the retained passage supports. If it cannot fit intelligibly, drop the selection rather than relying on a caption to repair its meaning.

A join creates a different answer

Find: an answer about ease of setup follows a question about commercial return. Both passages are verbatim, but the sequence implies evidence the speaker did not give. Revise: restore the original question or choose an answer to the actual campaign question. Watch the new join with the surrounding source passages before accepting it.

An older recording sounds like a current promise

Find: a webinar describes a feature or condition that may have changed. Hold: ask the responsible product or subject owner to verify the claim. Keep historical context visible if it remains useful; omit the passage if it would mislead the campaign audience. Editing cannot supply missing evidence.

The words pass, but the intended use is unresolved

Find: the selection is faithful but the team has not confirmed whether the speaker or material can appear in the proposed paid campaign. Hold: resolve the permission question through the existing approval process before release. Source traceability and editorial approval do not clear reuse rights.

Actionable revision note

At [source name and time range], the cut removes [condition] and implies [unsupported conclusion]. Restore the surrounding explanation or remove this claim. Keep the edit focused on [buyer question], then return the revised plan for review.

Accept a revision only after checking the new selection and sequence. If the evidence is absent, reject that claim for this edit; repeated revisions cannot create it.

06

Set approval according to consequence

A low-stakes social excerpt and a regulated customer claim should not share one approval path. Increase review depth when the cut covers legal, medical, financial, employment or reputationally sensitive material; when speakers are vulnerable; or when the edit will be used as evidence.

Automation can prepare the review surface. It cannot accept accountability on behalf of the publisher.

07

Watch the exact version you intend to publish

Plan approval is an editorial checkpoint. Watch every finished format you intend to use, all the way through, and check it against the reviewed plan version. A readable transcript cannot reveal an obscured face, a clipped word or an unreadable caption.

  • Meaning and sound: listen across the joins for lost words, awkward pauses, changed emphasis or an answer that sounds attached to the wrong question.
  • Captions and framing: verify names and figures, caption timing and readability, speaker visibility and any on-screen evidence the crop must preserve.
  • Campaign packaging: check the title, thumbnail, surrounding post copy and call to action against the same evidence. They must not broaden a qualified statement into a promise.
  • Release decision: identify the approved file and destination. If selection, order or claim changes, reopen the editorial check; if captions or framing change, review the affected output again.

Keep decisions in your team's existing review process. A successful render or a clean technical quality-control report does not constitute editorial approval.

08

Keep an audit-ready output

Retain the brief, plan version, source references, reviewer and approval state. Useful delivery artefacts include captions, an edit decision list and a quality-control report alongside the rendered file.

Copy this record into the place your team already uses for campaign approvals. These are suggested review fields, not an Anjin approval-system feature.

Copyable editorial review record

Audience and buyer question: [who / question]
Destination and campaign message: [where / intended conclusion]
Source evidence: [recording / speaker / date / selected and surrounding time ranges]
Context and claim checks: [qualifications / current evidence / unresolved questions]
Permission reference and owner: [record / person confirming intended use]
Version reviewed: [cut / plan version / rendered file and format]
Decision: [revise / hold / reject / approve for stated use]
Next action: [specific change or evidence needed / owner]
Release record: [reviewer / date / exact approved file / destination]

Anjin exposes ordered selections and source timecodes before rendering, as documented in creating a composition. The reviewable cut plan workflow explains version checks; composition results documents the plan, render and delivery artefacts. Use those records alongside human source checks and your existing release process.

QUESTIONS

Common questions

How should I review an AI-generated video?

Review the source-grounded plan before rendering. Check fidelity to context, coverage of the brief, progression, preserved qualifications, fair representation and source traceability. Then review captions, crop, audio, branding and final approval.

What are the main risks of AI video editing?

The main editorial risks are decontextualisation, omitted qualification, misleading sequence, repeated or unrepresentative voices and selections that cannot be traced to source. Production errors include inaccurate captions, poor crops and inconsistent output settings.

Does using verbatim source footage prevent misinformation?

No. Verbatim statements can mislead when qualifications are removed, chronology is collapsed or two passages are joined to imply a relationship that did not exist. Review must assess the meaning of the sequence as well as individual quotations.

When should a marketing team hold or reject an AI video edit?

Hold an edit when a claim needs current evidence, permission for its intended use is unresolved or a reviewer cannot verify source context. Revise when the source contains the missing qualification or answer. Reject a claim for that edit when the selected footage cannot support it; another revision cannot create missing evidence.

Is an approved cut plan enough to publish the video?

No. Watch the exact rendered file in every format you intend to publish. Check joins, sound, captions, framing and campaign packaging, then record approval for that file and destination in your existing review process. Reopen the relevant checks if the edit changes.

What provenance should an AI-generated edit keep?

Keep the original brief, plan version, source video identity, selected transcript text, source start and end timecodes, reviewer and approval state. Captions, an edit decision list and quality-control report strengthen the delivery record.

About this field note

Written by Anjin Media's editorial team from hands-on work with long-form video, cut plans and searchable archives. Product details are checked against the documented platform behaviour before publication.

Read the documentation →