AI · AIC-37

AI for Insurance Agents

AI for Insurance Agents is a course in using AI for insurance agency work, from explaining complex products simply within advertising rules to marketing materials, customer replies, lead care, renewal reminders and reviewed policy summaries. It suits life and non-life insurance agents and brokers, financial advisors and agency team managers.

Updated
From 7,110 THB / person 7,900 −10% excl. VAT 7% · group rates available
PDFDownload the course outline
  • Duration12 hours · 2 days
  • FormatOnsite / live online
  • Next roundOn request
  • CertificateIncluded

Course overview

Insurance agents and brokers must communicate with customers and market continuously: creating content and explaining complex insurance products simply, answering customers and managing leads, preparing quotes and plan comparisons, sending renewal reminders, following up on claims, and handling documents and regular-customer care. These tasks are time-consuming, demand high accuracy, and sit in a regulated industry with sensitive customer data. Generative AI helps agents work faster and communicate better, with the key being using it the right way, with verification mechanisms and customer data protection. This course is designed to help agents and insurance teams use AI in real work confidently, safely and

responsibly, covering content and product explanation, creating images and marketing media, customer service and lead care, renewals and CRM, setting up an agent assistant and knowledge base, to automation with n8n, with accuracy, ethics, regulation and PDPA for customer data at the core. This course focuses on marketing, service and administration, with individual advice and underwriting decisions remaining subject to the rules and duties of licensed personnel and company processes. All content is taught through workshops on simulated data, finishing with a capstone project. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)

What you’ll gain

  • Understand how AI changes insurance agent work and choose the right AI tool for regulated tasks
  • Design prompts for insurance work and keep results accurate and verifiable
  • Use AI to create content and explain complex insurance products simply, within advertising rules
  • Use AI to create professional images and marketing media
  • Use AI to help answer customers, care for leads and give appropriate basic information
  • Use AI for customer care and CRM, including renewal reminders and claim follow-up
  • Build an agent assistant and knowledge base with Custom GPT/Gems
  • Use AI to help with documents and policy summaries with review
  • Set up automation with n8n, such as renewal reminders and customer follow-up
  • Set practices for accuracy, ethics, regulation and PDPA for sensitive customer data

Who this course is for

  • Life and non-life insurance agents and brokers
  • Sales teams and financial advisors handling insurance products
  • Marketing teams and social media admins for agents and insurance units
  • Customer and CRM teams for agents and brokers
  • Agency team leaders who want to set up safe AI use for their team

Prerequisites

  • General computer, smartphone and internet skills
  • Experience using social media or marketing channels to sell insurance
  • Understanding of your insurance sales and service work or process to use as a case study during training
  • No AI or programming background required

Curriculum

Course Details

A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop on simulated data with a capstone project. Beginner to Intermediate level, no AI background required. The course focuses on marketing, service and administration, with individual advice and underwriting decisions remaining subject to the rules and duties of licensed personnel. Learners take home a prompt library, an agent assistant (Custom GPT/Gem), content and product-explanation templates, and an accuracy and PDPA checklist.

Day 1 AI for Content, Products and Customer Service

Section 1: AI in Insurance Agent Work

  • An overview of generative AI in agent and broker work and what changes in the process
  • AI use cases: content, product explanation, customer service, leads, renewals and documents
  • Key scope: AI helps with marketing and service, not replacing individual advice or underwriting decisions
  • Cautions on advertising rules, accuracy and ethical AI use

Section 2: Prompts and Output Control for Insurance Work

  • A good prompt structure for insurance: role, product, customer group and output format
  • Instructing AI to reference data and show reasoning so results are traceable
  • Preventing over-communication and hallucination for terms and numbers
  • Building an agent prompt library for recurring work

Section 3: Content and Insurance Product Explanation

  • Using AI to create educational content and marketing captions within advertising rules
  • Explaining complex insurance products and terms clearly and accurately to customers
  • Tailoring messages to customer groups without over-promising
  • Workshop: create an insurance content and product-explanation set with AI

Section 4: Images and Marketing Media with AI

  • Using AI and Canva to create professional agent images and marketing media
  • Approaches to creating promotional media transparently, without misleading
  • Preparing media for campaigns and renewal periods
  • Workshop: design one marketing media piece with AI and Canva

Section 5: Customer Service and Lead Care

  • Using AI to help answer customers and give appropriate basic product information
  • Caring for leads and asking questions to understand customer needs
  • Preparing standard answer sets and FAQ for sales and service
  • Workshop: prepare a service message set and FAQ for customer care with AI
Day 2 CRM, Assistants, Documents and Automation

Section 6: Customer Care, CRM and Renewals

  • Using AI to help care for customers and prioritize, including renewal reminders
  • Preparing follow-up messages, returning-customer care and claim-status follow-up (in a service role)
  • Summarizing and categorizing customer data for better care (on masked data)
  • Workshop: prepare a customer-care and renewal-reminder message set with AI

Section 7: Chatbots and Agent Assistants

  • Building a Custom GPT or Gem as an assistant answering customer questions on products and basic terms
  • Embedding product data and FAQ for consistent, controllable results
  • Connecting the assistant to LINE OA and handing off to the agent when needed
  • Workshop: build one agent assistant to answer common questions

Section 8: Documents and Policy Summaries with AI

  • Using AI to help with documents and summarize the key points of policies and terms, always with review
  • Preparing plan-comparison documents that are easy for customers to understand (based on accurate company data)
  • Cautions on the accuracy of terms and numbers

Section 9: Agent Automation with n8n

  • Setting up automation with n8n, such as renewal reminders and automated customer follow-up
  • Status alerts and after-sales customer care systematically
  • Connecting data across channels safely and controllably
  • Workshop: design one simple automation flow for agent work

Section 10: Ethics, Regulation, Customer Data and PDPA

  • Advertising rules and ethical insurance communication that doesn't mislead
  • Customer data that must not go into AI: health data, financial data and sensitive data
  • Personal data under PDPA and a data governance framework for agent work
  • Setting the team's responsible AI usage guideline

Section 11: Capstone Project and Real-world Adoption

  • Task: set up an end-to-end AI toolkit for the learner's agent work, from content and product explanation and customer service to an assistant and customer care
  • Present the work and get feedback from the instructor and peers
  • A first-30-days adoption plan and setting up safe AI use for the whole agent team

Schedule & training options

For individuals — public rounds

No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770

For organisations — in-house / private

  • Tailor the content to your team’s tools and projects
  • Your dates, at your office or live online
  • Quotation with tax ID for procurement
Corporate training quote

Instructors

Frequently asked questions

How can AI help explain complex insurance products in plain language?

Give the AI the actual product documents, such as the brochure and policy conditions, and ask it to explain them in plain language for a specific customer group, using example scenarios. It must keep coverage, exclusions and key conditions intact and cite the relevant clause for every point. Check the result against the source before use, because a simplification that drops an exclusion can mislead customers.

What should you check when using AI to summarise an insurance policy?

Check every figure and condition against the original policy: sum insured, coverage by section, exclusions, waiting periods, deductibles, start and end dates and beneficiaries. Ask the AI to cite the clause or page for each point so you can verify quickly, and have a licensed person review the summary before it goes to the customer. This course practises AI policy summaries with a review step.

What care does customers' health data need when using AI under PDPA?

Health information is sensitive personal data under PDPA, which requires explicit consent and stricter handling than ordinary data. Do not paste names, ID card numbers or identifiable medical history into general AI tools; mask or replace them with codes first, use business accounts that do not train models on your data, and limit who can access customer files.

Who is the AI for Insurance Agents course for, and what should I know beforehand?

It suits life and non-life insurance agents and brokers, sales teams and financial advisors, marketing staff at insurance agencies, and agency managers who want their teams to use AI safely. No AI or programming knowledge is needed. You should be able to use a computer, smartphone and the internet, have used social media for sales, and understand your own insurance sales and service process.

What will I be able to do after the AI for Insurance Agents course?

You will be able to explain insurance products simply within advertising rules, create content and marketing materials with AI, use AI to answer customers and nurture leads, produce reviewed policy summaries, build an agent assistant in Custom GPT or Gems, and automate renewal reminders with n8n, following sound ethics and PDPA practice. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.

Can the AI for Insurance Agents course be run in-house for our team?

Yes. It can be run in-house for your agency or insurance team, with examples adapted to your work, such as the products your team sells, using simulated data. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.