https://www.insurerbrain.com/w/index.php?action=history&feed=atom&title=Definition%3AProcess_automation 2026-04-29T18:04:14Z Revision history for this page on the wiki MediaWiki 1.43.8 https://www.insurerbrain.com/w/index.php?title=Definition:Process_automation&diff=13667&oldid=prev 2026-03-13T13:11:41Z

<p>Bot: Creating new article from JSON</p> <p><b>New page</b></p><div>🤖 &#039;&#039;&#039;Process automation&#039;&#039;&#039; in the insurance industry refers to the use of technology to execute repetitive, rule-based tasks that were traditionally performed manually — spanning activities such as [[Definition:Policy administration | policy administration]], [[Definition:Claims processing | claims intake]], [[Definition:Underwriting | underwriting]] data entry, [[Definition:Premium | premium]] accounting, and regulatory reporting. From simple [[Definition:Robotic process automation (RPA) | robotic process automation (RPA)]] bots that replicate keystrokes across legacy systems to sophisticated orchestration platforms integrating [[Definition:Artificial intelligence (AI) | artificial intelligence]] and [[Definition:Machine learning | machine learning]], process automation has become a strategic priority for insurers and [[Definition:Insurtech | insurtechs]] seeking operational efficiency at scale.<br /> <br /> ⚙️ Implementation typically begins with mapping existing workflows to identify high-volume, low-complexity tasks suitable for automation. A mid-sized [[Definition:Insurance carrier | carrier]] might deploy RPA to reconcile [[Definition:Bordereaux | bordereaux]] data received from [[Definition:Managing general agent (MGA) | MGAs]], auto-populate [[Definition:Submission (insurance) | submission]] fields during the quoting process, or generate regulatory filings for multiple jurisdictions. More advanced deployments layer in [[Definition:Natural language processing (NLP) | natural language processing]] to extract information from unstructured documents — such as medical records in [[Definition:Life insurance | life insurance]] underwriting or surveyor reports in [[Definition:Property insurance | property]] claims — and feed it into decision engines. [[Definition:Straight-through processing (STP) | Straight-through processing]], where a transaction moves from initiation to completion without human intervention, represents the aspirational end state and is increasingly achievable for personal lines products and standardized commercial risks.<br /> <br /> 🚀 The business case extends well beyond cost reduction. By removing manual bottlenecks, automation compresses cycle times — enabling faster [[Definition:Quote (insurance) | quote]] turnaround, quicker [[Definition:Claims settlement | claims settlement]], and more responsive customer service, all of which improve [[Definition:Policyholder | policyholder]] retention and competitive positioning. Automation also enhances data quality and audit trails, which regulators in markets from Singapore to the European Union increasingly expect as part of robust [[Definition:Governance | governance]] frameworks. However, poorly designed automation can entrench flawed processes or create compliance risks if decision logic is not transparent and explainable, making thoughtful design and ongoing monitoring essential.<br /> <br /> &#039;&#039;&#039;Related concepts:&#039;&#039;&#039;<br /> {{Div col|colwidth=20em}}<br /> * [[Definition:Robotic process automation (RPA)]]<br /> * [[Definition:Straight-through processing (STP)]]<br /> * [[Definition:Artificial intelligence (AI)]]<br /> * [[Definition:Digital transformation]]<br /> * [[Definition:Policy administration system]]<br /> * [[Definition:Insurtech]]<br /> {{Div col end}}</div>

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