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✅ '''Quality assurance (QA)''' in the insurance industry encompasses the systematic processes, checks, and standards that [[Definition:Insurance carrier | carriers]], [[Definition:Managing general agent (MGA) | MGAs]], [[Definition:Third-party administrator (TPA) | TPAs]], and technology vendors use to ensure that [[Definition:Underwriting | underwriting]] decisions, [[Definition:Claims management | claims handling]], [[Definition:Policy administration | policy administration]], and customer-facing outputs meet accuracy, [[Definition:Compliance | compliance]], and service-quality benchmarks. While the term originates in manufacturing, within insurance it has taken on a distinctly operational character — focused on reducing errors in [[Definition:Policy issuance | policy issuance]], validating [[Definition:Rating | rating]] calculations, auditing [[Definition:Claim | claims]] adjudication, and testing software releases that power core insurance systems.

⚙️ QA programs in insurance typically operate on multiple levels. At the transactional level, [[Definition:Underwriting | underwriting]] peer reviews, [[Definition:Claim | claims]] file audits, and automated validation rules catch mistakes before they reach the [[Definition:Policyholder | policyholder]] or trigger a [[Definition:Regulatory | regulatory]] violation. At the systems level — especially critical for [[Definition:Insurtech | insurtech]] companies and carriers deploying new [[Definition:Policy administration system | policy administration]] or [[Definition:Claims management system | claims platforms]] — QA involves rigorous testing cycles including unit, integration, regression, and user-acceptance testing. [[Definition:Delegated underwriting authority (DUA) | Delegated authority]] arrangements add another layer: [[Definition:Insurance carrier | carriers]] regularly audit their [[Definition:Managing general agent (MGA) | MGA]] and [[Definition:Coverholder | coverholder]] partners to verify that [[Definition:Underwriting guidelines | underwriting guidelines]], [[Definition:Pricing | pricing]] models, and [[Definition:Bordereaux | bordereaux]] submissions conform to agreed standards.

💡 Weak QA processes carry outsized consequences in insurance. An [[Definition:Underwriting | underwriting]] error can result in mispriced [[Definition:Risk | risk]], a [[Definition:Claim | claims]] coding mistake can inflate [[Definition:Loss reserve | reserves]] or trigger wrongful denials, and a software defect in a [[Definition:Quoting platform | quoting platform]] can expose a carrier to [[Definition:Errors and omissions (E&O) | errors and omissions]] liability. Regulators such as the [[Definition:Financial Conduct Authority (FCA) | FCA]] and U.S. state [[Definition:Department of insurance (DOI) | departments of insurance]] increasingly expect documented QA frameworks as part of broader [[Definition:Governance | governance]] and [[Definition:Internal controls | internal controls]]. As the industry digitizes and the speed of [[Definition:Quote-to-bind | quote-to-bind]] accelerates, embedding QA into automated workflows — rather than relying on after-the-fact reviews — has become a strategic imperative.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Underwriting audit]]
* [[Definition:Claims audit]]
* [[Definition:Compliance]]
* [[Definition:Delegated underwriting authority (DUA)]]
* [[Definition:Policy administration system]]
* [[Definition:Internal controls]]
{{Div col end}}

Definition:Quality assurance (QA) - Revision history

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