Regulation — South Carolina
SC Code §38-57-30 — Unfair Trade Practices Act (SC UTPA)
The SC UTPA prohibits misrepresentations and deceptive communications by insurers. AI-generated claim explanations and denial reasons that do not match what the model actually did are the tightest fit for this statute in a claims-AI context.
What the statute actually says
"No person shall engage in this State in any trade practice which is defined in this chapter as, or determined pursuant to this chapter to be, an unfair method of competition or an unfair or deceptive act or practice in the business of insurance."
SC Code Ann. §38-57-30 -- Unfair methods of competition and unfair or deceptive acts prohibited
"The following are declared to be unfair methods of competition and unfair and deceptive acts or practices in the business of insurance: (1) Misrepresentations and false advertising of insurance policies …"
SC Code Ann. §38-57-40 -- Enumeration of unfair practices (misrepresentations)
What this means in plain English
Everything the carrier tells an insured, a claimant, or the public has to be accurate. That reaches every AI-generated document that goes out under the carrier's name:
- Automated claim-status explanations
- Denial or partial-denial reason text
- Adverse-action notice narratives
- Portal or chatbot answers about a claim
- Any "why was my claim delayed?" response driven by a template + AI-supplied variables
The SC UTPA does not require intent to mislead. It requires the practice to be deceptive in effect.
What triggers the exposure in the sample
The AI routes a coastal-county claim to SIU. The customer portal generates a status message: "Your claim is under review to verify coverage." The message does not say the routing decision came from an AI that has been flagging the C3 group at 4x baseline rate. If the model's routing is later found to be unsupported, every one of those portal messages sent during the drift window becomes a potential SC UTPA "misrepresentation" fact pattern — the reason given did not describe what actually drove the decision.
What the $499 Snapshot shows against this rule
- Map from AI decision to consumer-facing explanation template — showing the gap where actual model behavior is not reflected in the message
- Sample of consumer-facing text that would need to change if the C3 finding stands
- 3 fix-first items scoped to explanation-text alignment
- Independent-verifier declaration attesting to the mismatch pattern
$499 Snapshot. 3 business days.
Independent-verifier determination + explanation-text alignment map + signed declaration.
Buy $499
Snapshot credit applies to Baseline ($2,500) or Enterprise Attestation ($35-55K) upgrade within 30 days.