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The dependable way to use generative AI for business text messages is to treat every output as a draft, not as approved copy. Before sending, a person should verify each factual claim against an authoritative business source, then check the wording against approved brand guidance. Keep a simple record of the AI tool and model version, the reviewer, and any changes when your team needs to reproduce or audit the process.
Why AI text messages need a human approval gate
Generative AI can produce fluent messages that contain an invented price, an expired date, an eligibility promise, or terminology your company does not use. Fluency is not evidence that a claim is correct. A message can also be factually correct yet sound unlike your organization, confuse customers, or imply a benefit you did not approve.
The Federal Trade Commission’s general advertising guidance states: “Under the law, claims in advertisements must be truthful, cannot be deceptive or unfair, and must be evidence-based.” This is a general advertising principle. It does not by itself specify every duty for a particular SMS campaign.
For a practical quality-control process, adapt the human-oversight approach described in the Centers for Disease Control and Prevention’s guidance for generative AI in scientific work. That page recommends review and validation, and suggests recording the AI tool or platform, model version, where it was used, and the extent of human oversight. The CDC page is scoped to scientific work, not business texting, so the recordkeeping and review steps below are an operational adaptation rather than an SMS rule. See the CDC guidance for its original context.
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The two-pass workflow: facts first, brand second
Use two distinct human checks. Separating them prevents a reviewer from approving attractive wording while overlooking a wrong offer detail.
1. Assemble an approved fact brief
Start with the information the message is allowed to state. Use the current owner or system for each item, rather than asking the model to remember it.
| Message element | What to capture before prompting | Authoritative source |
|---|---|---|
| Offer or benefit | Exact description, exclusions, and whether it is a discount, credit, trial, or another benefit | Approved promotion brief or terms |
| Price and fees | Amount, currency, billing frequency, taxes or mandatory fees, and whether the amount is recurring | Current pricing or legal-approved offer sheet |
| Dates | Start and end dates, time zone, and any redemption deadline | Campaign calendar or offer terms |
| Eligibility | Customer segment, location, account status, purchase requirements, and exclusions | Eligibility rules or customer database definition |
| Availability | Inventory, service area, appointment capacity, or channel limitations | Operations or inventory system |
| Action and destination | Exact keyword, phone number, short link, landing page, or support route | Campaign ticket and approved destination |
| Required terminology | Product names, capitalization, legal labels, and words that must or must not appear | Brand and compliance guide |
Put a version date on the brief. If a value is unknown, mark it as unknown instead of leaving the model to fill the gap. A draft that omits an unverified claim is safer than one that guesses.
2. Give the model a bounded assignment
Tell the model exactly which facts it may use, who the audience is, the channel constraint, and what it must not invent. Supply a few approved examples so the model can imitate your vocabulary without improvising policy.
Task: Draft one customer SMS using only the approved facts below.
Audience: Existing customers in the United States who meet the eligibility rule.
Length: Keep it concise; do not add claims to fill space.
Required facts: [paste the current offer, price, dates, eligibility and action].
Brand language: [paste approved examples and preferred product terms].
Never invent: prices, savings percentages, deadlines, availability, guarantees,
features, legal conclusions or customer eligibility.
If a required fact is missing, write “NEEDS CONFIRMATION” instead of guessing.
Return the draft only, followed by a list of factual claims for review.Do not place confidential customer data into a tool unless your organization has approved that use and the tool’s handling is understood. The prompt should constrain the task; it should not be the source of truth.
3. Generate a draft and a claim list
Ask for the message and a separate list of every factual assertion it makes. The list makes hidden claims easier to inspect. Include implied assertions, such as “available now,” “no commitment,” or “everyone qualifies,” not just numbers.
4. Validate every claim against the source of truth
A reviewer should compare the draft and its claim list line by line with the approved fact brief. Remove or rewrite anything that cannot be verified. Do not approve a claim merely because it sounds plausible or appeared in an earlier campaign.
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| Claim type | Verification question | Action when it fails |
|---|---|---|
| Price, savings, or fee | Does the amount and billing treatment match the current approved terms? | Correct it or delete the amount; do not round or convert it without approval. |
| Date or deadline | Is the date current, in the intended time zone, and expressed unambiguously? | Replace with the approved date or remove the deadline. |
| Eligibility | Does every recipient meet the stated condition? | Narrow the audience, state the condition precisely, or omit the claim. |
| Availability | Is the product, service, location, or appointment actually available for this send? | Confirm with the operational owner or use conditional wording approved by that owner. |
| Performance or outcome | Is there current evidence supporting the promised result? | Remove the promise unless evidence and wording are approved. |
| Action path | Does the keyword, number, code, or destination work and match the campaign ticket? | Fix the destination and test it before approval. |
Use a second person for high-impact claims or high-volume sends when practical. The second reviewer should see the source document, not just the AI draft, so that agreement is based on evidence.
5. Run the brand-language review separately
After the facts pass, compare the copy with your approved voice guidance. Check terminology, level of formality, sentence rhythm, punctuation, capitalization, and the words your organization avoids. Also check whether the call to action sounds like your normal customer experience.
- Replace unofficial product nicknames with the approved name.
- Remove superlatives, urgency, or guarantees that your guide prohibits.
- Keep the pronouns, greeting style, and degree of warmth consistent with approved examples.
- Use the organization’s preferred spelling, capitalization, and unit conventions.
- Confirm that the message is understandable without relying on an internal acronym.
- Check that the tone is appropriate for the audience and the seriousness of the subject.
Brand consistency is not the same as making every message sound identical. Preserve the approved voice while allowing wording to fit the particular offer and customer context.
6. Resolve changes and approve one final version
Make edits in a controlled document or campaign ticket. Mark which changes corrected facts and which changed style. Re-run the factual check after any edit that changes a number, date, eligibility phrase, product name, or call to action. Approve only the exact version that will be sent; do not copy an earlier draft into the sending tool after review.
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7. Record the review when repeatability matters
A lightweight log can make the process reproducible and show who approved the copy. Adapt the following fields to your organization:
- Campaign name or identifier and intended audience
- Date and time of generation and the sending time zone
- AI platform or tool and model version
- Prompt or a link to the controlled prompt template
- Source-of-truth documents and their version dates
- Reviewer names or roles
- Factual corrections made
- Brand-language corrections made
- Final approved message and approval timestamp
This is an internal control inspired by the CDC’s scientific-work guidance, not a claim that the CDC requires a business to maintain an SMS log.
Build reusable factual and brand guardrails
Maintain a single offer record
Keep current offer terms in one controlled location and identify an owner for updates. Include effective dates and an explicit status such as draft, approved, expired, or withdrawn. If multiple teams maintain competing spreadsheets, the reviewer should stop and establish which one is authoritative before approving copy.
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Create a terminology sheet
List approved product names, capitalization, abbreviations, translations, and plain-language alternatives. Add prohibited or discouraged wording with an acceptable replacement. Include examples of greetings, calls to action, and ways to describe price or timing. The model can use this sheet as context, but a person still decides whether the final sentence fits the brand.
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Use a claim inventory for recurring campaigns
For messages sent repeatedly, maintain a catalog of claims that have already been approved, each tied to its source and expiry date. A catalog reduces repeated work without turning an old approval into permanent permission. Recheck a claim whenever its terms, audience, destination, or supporting evidence changes.
A practical approval rubric
Use a simple disposition for each draft so reviewers do not treat minor style edits and unsupported claims as equivalent.
| Disposition | Use it when | Required next step |
|---|---|---|
| Approve | Every factual claim is verified, terminology follows the guide, and the final text matches the sending configuration. | Lock the approved version and send only that version. |
| Revise | The issue is a correctable wording, formatting, or clearly documented factual mismatch. | Edit, then repeat the affected factual and brand checks. |
| Reject | A material claim cannot be verified, the audience is wrong, the source is stale, or the wording makes an unsupported promise. | Return to the fact owner or create a new draft without the unsupported claim. |
Never use “approve with caveats” for a customer-facing message. A caveat in an internal comment does not correct a misleading sentence that recipients will read.
How to handle uncertainty and hallucinated details
Require explicit unknowns
Instruct the model to flag missing facts. Reviewers should treat a placeholder such as “NEEDS CONFIRMATION” as a stop signal, not as text to leave in the outgoing message.
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If the exact savings, end date, inventory status, or eligibility rule is unavailable, remove that claim and write a useful message around the verified information. Do not replace a missing number with a vague but still unapproved promise such as “huge savings.”
Watch for implied claims
Words such as “guaranteed,” “instant,” “always,” “everyone,” “free,” “no risk,” and “available” carry factual meaning. So do phrases that imply exclusivity, scarcity, or a particular outcome. Add them to your review checklist if they are frequent failure points.
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Check edits made outside the AI tool
A human can introduce an error while shortening or personalizing a draft. Recheck any manually edited sentence that affects a claim, even when the original AI output passed review.
Choose a workflow that reviewers can actually enforce
There is no need to buy a particular product to create this control. Select a process that makes the source facts, approved terminology, and change history easy to inspect. The following patterns are suggested evaluation criteria, not tested product comparisons.
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| Workflow pattern | Best fit | Fact-checking strength | Brand enforcement | Change record |
|---|---|---|---|---|
| Shared brief and checklist | Small teams with occasional campaigns | Strong when one owner maintains the brief | Depends on a current terminology sheet | Manual; record edits in the campaign ticket |
| Controlled campaign ticket | Teams with several reviewers or frequent sends | Strong because sources and approvals stay together | Strong if the ticket links the voice guide | Usually clear through comments and version history |
| Approval gate in the messaging workflow | High-volume operations with defined roles | Strong if sending is blocked until approval | Strong if required checks are built into the gate | Strong when the system retains versions and reviewer identity |
Whatever pattern you use, test whether a reviewer can answer three questions quickly: Which facts were approved? What changed since the draft? Who approved the exact text that will be sent?
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Worked example: correcting a plausible but wrong draft
The following is an illustrative process, not a real offer. Suppose the approved brief says an existing customer in one region can receive a $20 account credit on purchases of $100 or more from October 20 through October 31, with redemption through a named checkout code. The brief does not authorize a “first purchase” claim, a promise of instant credit, or a statement that every customer qualifies.
AI draft
“Get $25 off your first order today—everyone qualifies! Use code SAVE at checkout. Offer ends Friday.”
Fact review
- The amount is wrong: the approved credit is $20, not $25.
- The first-order condition is unsupported.
- “Everyone qualifies” conflicts with the existing-customer and regional limits.
- The code is not the approved code.
- “Today” and “Friday” are ambiguous and do not state the approved dates.
- The purchase threshold is missing.
Brand review after correction
Once the factual version is written, compare its wording with the voice guide. If the guide favors plain language, avoid inflated urgency. A compliant illustrative revision might be: “Existing customers in [region]: receive a $20 account credit on purchases of $100+ from Oct 20–31. Use code [approved code] at checkout.” Replace the bracketed items with the exact approved values before sending; brackets are shown here only to demonstrate the editing step.
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SMS-specific legal questions require separate review
General advertising guidance does not settle every rule that may apply to an actual text-message campaign. Consent, opt-out handling, sending times, disclosures, audience restrictions, and other obligations can depend on the jurisdiction, the recipient, the message type, and the campaign’s technical setup. The FTC advertising page and the CDC scientific-work page cited above do not resolve those SMS-specific requirements.
Before launch, obtain review appropriate to the jurisdictions and campaign details involved. Keep that legal or compliance decision separate from the editorial checks for factual accuracy and brand voice. Do not treat an AI prompt, an approval checklist, or a prior campaign as proof that a new campaign satisfies every applicable requirement.
Common failure modes and fixes
The model invents a missing price or deadline
Fix: Put the value in the approved fact brief, instruct the model to flag unknowns, and reject any draft that fills the gap with a guess.
A promotion changed after drafting
Fix: Compare the source version date with the campaign date. Refresh the brief and repeat the claim-by-claim check; do not patch only the most visible number.
Different teams use different product names
Fix: Establish one terminology sheet and designate an owner. Update old templates and include the approved name in the prompt.
The copy is accurate but sounds too aggressive
Fix: Remove unsupported urgency and superlatives, then compare the revised wording with approved examples. A factual statement can still fail a brand review.
A last-minute edit bypasses approval
Fix: Lock the approved text or require a new approval whenever a person changes a factual claim, audience condition, destination, or offer term.
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Fix: Put the authoritative source beside the draft and require the reviewer to record the source version. Memory is not a substitute for a current offer record.
Pre-send checklist
- The audience and region match the approved campaign definition.
- Every price, fee, discount, threshold, date, and time zone matches the current source.
- Eligibility and availability statements are supported.
- Product names, capitalization, and required terms follow the brand guide.
- Unsupported guarantees, superlatives, urgency, and implied claims are removed.
- The keyword, phone number, link, code, and destination match the campaign ticket.
- The exact final text—not an earlier draft—has a named human approver.
- Any required jurisdiction- or campaign-specific legal review is complete.
- The tool or model version and review record are saved when your process requires reproducibility.
This sequence keeps generative AI in the role it handles best—producing a starting draft—while people remain responsible for checking the claims and language that customers will actually receive.
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