PlumBot: Bot: Creating new article from JSON

2026-03-20T05:47:45Z

Bot: Creating new article from JSON

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🤖 '''Bot''' in the insurance and [[Definition:Insurtech | insurtech]] context refers to a software application designed to automate repetitive tasks or simulate conversational interactions — most commonly encountered as chatbots handling [[Definition:Customer-facing | customer-facing]] inquiries, but also encompassing robotic process automation (RPA) bots that operate behind the scenes across [[Definition:Policy administration system | policy administration]], [[Definition:Claims processing | claims processing]], and [[Definition:Underwriting | underwriting]] workflows. Unlike general-purpose consumer bots, insurance bots are typically trained or configured around domain-specific logic: policy terms, [[Definition:Coverage | coverage]] questions, [[Definition:First notice of loss (FNOL) | first notice of loss]] intake, and regulatory disclosure requirements that vary by jurisdiction.

⚙️ Insurance bots operate along a spectrum of sophistication. At the simpler end, rule-based chatbots guide a [[Definition:Policyholder | policyholder]] through a scripted decision tree — answering FAQs about [[Definition:Deductible | deductibles]], directing users to the right department, or collecting basic information for a [[Definition:Quote | quote]]. More advanced implementations leverage [[Definition:Natural language processing (NLP) | natural language processing]] and [[Definition:Machine learning (ML) | machine learning]] to interpret free-form questions, extract data from uploaded documents such as [[Definition:Certificate of insurance (COI) | certificates of insurance]], or triage [[Definition:Claim | claims]] by severity. RPA bots, by contrast, are non-conversational: they log into legacy systems, transfer data between platforms, reconcile [[Definition:Bordereaux | bordereaux]] files, or trigger compliance checks — tasks that previously required manual keystrokes. Carriers and [[Definition:Managing general agent (MGA) | MGAs]] increasingly deploy these bots in tandem, pairing a customer-facing chatbot with back-office RPA to create end-to-end automation from initial inquiry through [[Definition:Policy issuance | policy issuance]].

📈 The proliferation of bots across the insurance value chain reflects a broader industry push to reduce [[Definition:Expense ratio | expense ratios]], accelerate cycle times, and meet rising customer expectations for digital self-service. Insurers in markets ranging from the United States and Europe to Singapore and China have reported measurable improvements in FNOL completion rates and [[Definition:Customer retention | customer retention]] after deploying conversational bots. However, regulatory considerations loom large: many jurisdictions require clear disclosure when a customer is interacting with automated systems rather than a human, and bots that provide guidance on coverage or claims must be carefully designed to avoid crossing into unlicensed [[Definition:Insurance advice | insurance advice]]. As [[Definition:Large language model (LLM) | large language models]] become more capable, the line between scripted bot and intelligent [[Definition:Artificial intelligence (AI) | AI]] assistant continues to blur — raising both opportunities and governance challenges for the industry.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Artificial intelligence (AI)]]
* [[Definition:Robotic process automation (RPA)]]
* [[Definition:Natural language processing (NLP)]]
* [[Definition:Insurtech]]
* [[Definition:Customer-facing]]
* [[Definition:Straight-through processing (STP)]]
{{Div col end}}

Definition:Bot - Revision history

PlumBot: Bot: Creating new article from JSON