Quick Answer: What Should an AI UGC Revision Policy Cover?

An AI UGC revision policy should say what counts as an owed correction, an in-scope creative revision, an asset replacement, or a new paid request. It should also define how many review rounds are included, who consolidates feedback, when a round begins, how versions are labeled, what evidence is required, and how final approval closes the project.

Use this four-way rule:

Client request	Classification	Default response
The product, AI creator, format, or file misses the approved brief	Owed correction	Fix it without treating the miss as a new creative direction
The client wants a bounded change inside the approved direction	Included revision	Add it to the current consolidated round
One asset needs to be discarded and regenerated while the direction stays fixed	Asset replacement	Use the agreed replacement allowance or quote the extra work
The client changes the creator, product, claim, concept, channel, or deliverable	Scope change	Pause, document the impact, and re-quote before producing it

The important word is approved. A request cannot be classified fairly without a written brief, named version, and agreed direction. If those do not exist, return to the AI UGC brief template before debating whether a comment is “small.”

This article provides a copy-ready revision policy, a client feedback form, a round counter, a change-request note, a revision-load estimator, and a worked example. It is an operating template, not legal advice or a substitute for the agreement that governs the engagement.

A Revision Is a Decision About the Brief

AI generation can make a request sound easier than it is. “Try another background” may require a new setting, new references, a product-placement check, fresh crops, claims review, versioning, and another approval pass. “Fix the logo” may be a straightforward correction the operator should already owe.

Treating both comments as one more prompt hides the real work. Treating every comment as billable makes the client pay for defects. A useful policy separates responsibility from effort:

Did the delivered asset miss an approved requirement, or did the requested requirement change?

If the asset missed the requirement, the operator normally owns the correction under the written policy. If the requirement changed, the team decides whether it fits the included revision allowance, requires a replacement, or creates new scope.

That boundary is narrower than the rest of the client process. The AI UGC proposal template recommends and prices the engagement. The brief defines the production target. The approval workflow decides whether a specific version can be used. A revision policy governs what happens between feedback and the next submitted version.

Classify the Request Before Touching the Asset

The fastest way to lose control of a revision round is to start generating before the comments have been classified. Read the complete feedback once, link every comment to an asset ID, and place it in one of four buckets.

Owed Correction

An owed correction brings the asset back to the approved brief. Examples include the wrong aspect ratio, a missing agreed crop, an avoidable identity drift, a product color that does not match the supplied reference, a broken hand, a misspelled client-supplied overlay, or a file omitted from the delivery.

The policy should still set boundaries. A generated label may need verified client artwork added during editing rather than another attempt to make the image model reproduce small text. A request to “correct” a feature that was never supplied in the product source is not automatically an operator defect.

Record the cause. Repeated product-shape errors suggest a reference or compositing problem. Repeated creator drift suggests the identity pack, prompt, or preset needs repair. That record improves the production system instead of turning every correction into an isolated reroll.

Included Revision

An included revision changes an agreed variable without replacing the central direction. It might adjust framing, wardrobe within the approved range, prop placement, expression, crop, background treatment, or approved copy.

The request stays in scope only while its dependencies stay stable. “Make the room warmer” may be a revision. “Move the campaign into a luxury hotel and change the creator to fit a new audience” is a new direction even if it arrives in the same comment.

Count a revision round, not every comment. One round is one complete, consolidated set of feedback delivered through the agreed channel by the named client owner. Fragmented messages should be gathered before production resumes.

Asset Replacement

A replacement removes one submitted asset and creates another for the same job. It is useful when repairing the original would be less reliable than regenerating it, or when the policy gives the client a limited number of alternate selections inside an approved route.

A replacement is not an unlimited reroll promise. Name the asset, preserve the same brief, and define which variables may change. If the client rejects every output because the underlying concept no longer fits, the problem is the direction, not the individual files.

Scope Change

A scope change alters the production target or commercial use. Common triggers include:

a new AI creator, audience, product, campaign, or creative concept;
new channels, ratios, languages, deliverable types, or source files;
a claim, offer, script, or disclosure that was not in the approved brief;
a different recurring room, relationship, product-use sequence, or visual identity;
a new stakeholder reopening an approved direction; or
a request made after final approval or the agreed feedback window.

The response is not “no.” It is “this changes the agreed work.” The operator can quote the addition, swap it for something not yet produced, schedule it as a later phase, or decline it when the evidence or capability is missing.

AIGA's Standard Form of Agreement for Design Services is not an AI UGC contract, but it illustrates a durable commercial principle: client-requested changes outside the defined services should be treated as additional work. Adapt any agreement with qualified advice for the parties, work, and jurisdictions involved.

Turn Scattered Comments Into One Revision Round

Good feedback identifies the asset, the problem, the reason, and the acceptance condition. “Make it pop” does none of those things. Neither does a screenshot in one chat, a voice note in another, and a late email from a second approver.

Send this form with every review batch:

# AI UGC Client Feedback Form

Project:
Review round:
Submitted version:
Feedback owner:
Feedback due:

## Overall Decision
[ ] Approved as submitted
[ ] Approved after listed corrections
[ ] Revision requested within approved direction
[ ] Scope change requested
[ ] Direction rejected; pause before more production

## Asset-Level Feedback

Asset ID:
Current version:
Requested change:
Why the change is needed:
Approved brief requirement or source:
What must remain unchanged:
Acceptance condition:
Priority: required / preferred / optional

## Consolidation Check

[ ] Marketing feedback is included
[ ] Product or claims feedback is included
[ ] Rights and disclosure feedback is included
[ ] Channel or format feedback is included
[ ] Conflicting comments were resolved by the named owner

Client confirms this is the complete feedback set for the round: yes / no

The acceptance condition is the most useful field. “Move the product closer to the hand while keeping the approved creator, room, product reference, and 4:5 crop” is actionable. “The product needs more energy” is not.

When two comments conflict, do not choose one silently. Return the conflict to the feedback owner. The round should begin only after the client has made one decision the operator can execute.

Use a Round Counter That Shows What Actually Happened

Do not rely on email history to remember whether the included review has been used. Keep a small record next to the asset register:

Round	Submitted version	Feedback received	Classification	New version	Status
0	`batch-v01`	Internal QA only	Corrections	`batch-v02`	Client review opened
1	`batch-v02`	Consolidated client form	4 revisions, 2 corrections, 1 scope question	`batch-v03`	Resubmitted
—	`batch-v03`	New product and channel requested	Scope change	—	Quote pending

The example does not count internal QA as a client revision round. It also does not count an operator-caused correction as permission to change the direction. Your agreement may handle these cases differently; the point is to state the rule before work begins and apply it consistently.

Use plain statuses such as draft, in-review, changes-required, approved, and retired. Pair them with asset IDs and version numbers:

desk-stand_context_A03_v01_draft.png
desk-stand_context_A03_v02_in-review.png
desk-stand_context_A03_v03_approved.png

Never overwrite the reviewed version. A client and operator should be able to compare what was requested, what changed, and which exact file received approval.

The C2PA Content Credentials explainer describes a technical standard for recording the origin and history of digital assets. A manual version log is not a Content Credential, but the underlying operational lesson is relevant: provenance and edits are easier to trust when their history is attached to the asset rather than reconstructed later.

Copy-Ready AI UGC Revision Policy

Put the short version in the proposal or statement of work, then attach the operating detail where both sides can find it. Replace the brackets and remove any option that does not fit the engagement.

# AI UGC Revision Policy

## Approved baseline

Revisions are evaluated against the approved proposal, brief, references,
creative direction, deliverable list, usage scope, and version submitted for
review.

## Included review

This engagement includes [number] client revision round(s).

A round means one complete, consolidated set of feedback submitted by
[named feedback owner] through [agreed channel] within [review window].
Production resumes after the feedback owner confirms the set is complete and
resolves conflicting stakeholder comments.

## Owed corrections

We will correct delivered work that misses a documented requirement in the
approved baseline, subject to the stated technical and source limitations.
Examples include [list the relevant quality, product, identity, format, copy,
or delivery requirements].

An owed correction does not include a fact, visual requirement, file, or
direction that was not supplied or approved before production.

## Included revisions

Included revisions may adjust these approved variables:
- [variable]
- [variable]

These elements must remain fixed:
- [AI creator or identity direction]
- [product and approved sources]
- [campaign concept and audience]
- [deliverables and channels]

## Replacements

The package includes [number or none] replacement asset(s) within the approved
direction. A replacement keeps [fixed elements] and may change [allowed
variables]. Additional replacements require written approval of cost and timing.

## Scope changes

A new creator, product, audience, concept, claim, channel, format, language,
deliverable, source-file requirement, usage scope, or post-approval request is
new work unless the accepted scope says otherwise.

Before starting a scope change, we will provide a written note covering the
request, what it replaces or adds, evidence needed, cost, schedule, and the new
approval baseline.

## Truth, rights, and disclosure

We will not implement unsupported product claims, invented customer experience,
uncleared inputs, or ambiguous disclosure instructions. The client supplies or
approves the facts, evidence, permissions, and required disclosure treatment.

## Approval and closeout

Approval applies to the named version and recorded use. After approval, delivery,
or the end of the feedback window, later requests are scheduled as new work
unless they correct a hidden delivery defect covered by the agreement.

The policy should not hide behind “reasonable revisions” or “minor changes.” Those phrases invite two people to imagine different limits. Name the variables, files, decision owner, and review window instead.

Estimate Revision Load Before You Quote the Change

The client sees the requested difference. The operator must account for every dependency that difference disturbs.

Use an internal planning score:

Work item	Starting weight
Copy, crop, filename, or export adjustment	1 unit
One controlled visual change using the same approved references	2 units
Regenerate and recheck one full scene	3 units
Rebuild a creator, product, world, or campaign direction	5 units
Repeat claims, rights, disclosure, or channel review	2 units
Prepare a new handoff set	2 units

Then calculate:

Revision load =
  asset-change units
  + context-rebuild units
  + review units
  + handoff units

This is a workload estimator, not a public price list. Calibrate the weights against your own time, software costs, editing needs, risk, and margin. A visually small change can carry a large review load if it introduces a new product claim or paid placement.

For example, changing the crop on four approved assets could be four units. Moving those assets to a new room may be eight controlled-change units plus product and scene QA. Replacing the creator, audience, and campaign angle is a new direction; do not disguise it as a larger revision total.

If the added work is approved, issue a change note:

# AI UGC Scope Change Note

Request:
Reason:
Affected asset IDs:
Original approved baseline:
What is being added or replaced:
What remains unchanged:
New sources or evidence required:
Revision-load estimate:
Price impact:
Schedule impact:
Review rounds included for this change:
New approval version:

Approved by:
Approval date:

The related AI UGC pricing guide helps place revision work inside a complete package. Price the creative system, QA, rights scope, and delivery—not simply the number of generations.

A Worked Example: Seven Comments on One Product Batch

Suppose a client approved one adult AI creator, a compact apartment workspace, a fold-flat laptop stand, six final images, one 4:5 crop per image, and one consolidated revision round.

The first review returns seven comments:

Feedback	Classification	Reason
“The stand color is wrong in assets A02 and A05.”	Owed correction	The approved product reference defines the color
“Use a slightly tighter crop on A01.”	Included revision	Framing changes; the concept stays fixed
“Make the creator's shirt blue instead of grey.”	Included revision	Wardrobe color is an allowed variable
“The hand on A04 is malformed.”	Owed correction or replacement	The asset misses visual QA; regeneration may be more reliable than repair
“Show a kitchen instead of the approved workspace.”	Scope question	A new recurring room changes context and may need references
“Add a second creator and make them a parent.”	Scope change	Identity, relationship, audience cue, and scene all change
“Say the stand fixed my neck pain.”	Do not produce as written	The line invents experience and a health result without an approved basis

The operator can complete the two corrections and two bounded revisions in the included round. Before changing the room or adding another creator, the operator asks whether those requests replace an unfinished asset or expand the deliverable. The health statement is returned for approved evidence and qualified review; fluent copy does not make it safe.

For endorsements that may affect U.S. consumers, the FTC says endorsements must be honest and not misleading, and endorsers should not describe product experience they did not have or make claims that require proof the advertiser lacks. Its Endorsement Guides Q&A also recommends truth-in-advertising and disclosure review when companies pre-approve paid social posts.

That is why evidence changes deserve their own classification. A new claim is not a cosmetic edit. It can change the sources, copy, visual proof, reviewers, disclosure, and destination needed for approval.

Use Synthetic AI to Preserve What the Client Already Approved

A revision becomes easier when the operator can keep approved context stable. In Synthetic AI, a creator workflow can use persistent AI creator references, reusable rooms, products, objects, friends, pets, phones, and saved presets for still-image generation.

That supports a controlled revision process. Keep the approved creator and product references attached, reuse the accepted room or preset, and change only the variable named in the feedback. Save the new output as a new candidate version, then repeat product, identity, claims, disclosure, and format checks before presenting it.

Synthetic AI does not classify client comments, write the agreement, clear rights, approve claims, edit every final, or deliver files to the client. The operator owns that commercial and review process. The product helps preserve visual context so an in-scope change is less likely to become an accidental redesign.

If you are turning this capability into an offer, the AI UGC services guide helps package the production system. The revision policy makes that system safer to sell because both sides can see where the included work ends.

Close the Round With an Exact Decision

A revision round should end with more than “looks good.” Send the updated version record and ask the named owner to choose one status for each asset: approved, changes required under the remaining allowance, rejected, or moved to a scope change.

Before final delivery, confirm:

every feedback item has a disposition;
the delivered file matches the approved asset ID and version;
replaced and retired files are separated from approved finals;
product facts, claims, rights, and disclosures still match the approved sources;
the usage scope and destination have not silently changed;
source or editable files match the purchased handoff; and
the round counter and change notes are complete.

Then ask for written closeout:

I approve the listed versions for the recorded campaign, channels, usage scope,
and delivery. All feedback for the included revision rounds has been resolved.
Any later request will be reviewed as new work unless the agreement covers an
unresolved delivery defect.

Approval should attach to the exact version and use, not to every possible derivative. If a later edit changes the claim, crop, disclosure, product, or placement, return that derivative to review.

AI UGC Revision Policy FAQ

How many AI UGC revision rounds should a package include?

Choose a number that matches the scope, risk, price, and client decision process. A small pilot may need one consolidated round; a complex campaign may need staged direction, product, and final reviews. Do not promise unlimited revisions. State the number, what each round reviews, and what happens after the allowance is used.

Does fixing an AI image defect count as a revision?

Not automatically. If the asset misses a documented requirement or basic quality check, classify it as an owed correction under the policy. If the client changes the approved requirement, it may be an included revision or scope change. The written baseline decides.

Is a new prompt an in-scope revision?

Prompt length is irrelevant. A short prompt can introduce a new creator, product, scene, claim, or campaign direction. Classify the requested output and its dependencies, not the number of words needed to generate it.

What if the client sends feedback in several messages?

Ask the named feedback owner to consolidate the comments and resolve conflicts before opening the round. The policy should identify one channel and define when a complete round begins.

What if a requested claim is unsupported?

Do not generate or publish it as though repetition makes it true. Ask for the approved source and the appropriate reviewer. If the claim changes the brief, evidence, disclosure, or placement, treat it as a scope and approval change as well as a copy request.

Should revisions be priced per image or per round?

Either can work when the scope is explicit. Estimate the affected assets, context rebuild, finishing, QA, review, and handoff. A per-image fee can underprice a request that changes the whole system, while a flat round can overprice a small export correction. Quote the actual work and decision being changed.

Sources and Further Reading

Final Takeaway

A good AI UGC revision policy protects the client from paying for missed requirements and protects the creator from quietly absorbing a new campaign inside a feedback round. It works because every request is compared with an approved baseline, classified before production, and closed against an exact version.

Correct what missed the brief. Revise bounded variables. Replace assets when repair is inefficient. Re-quote a new direction. That clarity makes the next client project easier to price, easier to approve, and easier to repeat.

Ready to build the reusable visual system behind a sellable AI UGC offer? Create an AI creator in Synthetic AI, attach the recurring product and world context, save the approved setup as a preset, and generate a controlled portfolio batch before taking it into client review.

AI UGC Revision Policy: Fix, Replace, or Requote