An Intensive 5-day Training Course
Artificial Intelligence (AI) in Insurance
Transforming Insurance Automation and Innovation
Course Introduction
The insurance industry is experiencing rapid transformation driven by Artificial Intelligence (AI), which is revolutionizing traditional processes and redefining risk management. The Artificial Intelligence (AI) in Insurance training course provides professionals with the strategic insight and practical tools required to navigate this dynamic environment. Participants will gain a deep understanding of how AI is reshaping underwriting, risk identification, fraud detection, claims processing, and customer engagement.
This training course also addresses critical regulatory, legal, and ethical dimensions, including the actuarial implications of AI and considerations related to automation, data privacy, and algorithmic governance. ESG (Environmental, Social, and Governance) principles are embedded throughout the training course, offering a forward-looking perspective on responsible and sustainable insurance innovation.
Attendees will explore innovations such as embedded insurance, ecosystem-based delivery, and personalized, data-driven solutions through expert-led sessions, interactive workshops, and real-world case studies.
This Artificial Intelligence (AI) in Insurance training course will highlight:
- AI-driven transformation across the entire insurance value chain
- Enhancing risk assessment, underwriting precision, and claims efficiency
- Development of personalized and embedded insurance models
- Leveraging AI for fraud detection, automation, and customer-centric service
- Addressing legal, ethical, and ESG implications of AI in insurance
- Practical case studies on digital ecosystems and AI-powered distribution
Objectives
By the end of this Artificial Intelligence in Insurance training course, participants will be able to:
- Understand the strategic role of AI in modern insurance operations
- Evaluate AI-based underwriting and risk modelling approaches
- Apply AI tools to enhance fraud detection and claims processing
- Navigate regulatory, actuarial, and ethical considerations
- Design and implement AI-enabled insurance solutions aligned with ESG values
Training Methodology
The training course will use a dynamic mix of interactive lectures, real-life case studies, group discussions, and practical exercises to enhance learning and engagement. Expert facilitators will guide participants through AI applications using demonstrations and scenario-based analysis. Hands-on activities will reinforce key concepts and encourage critical thinking. Participants will also benefit from peer learning and collaborative problem-solving. The approach ensures both theoretical understanding and practical skill.
Organisational Impact
Organizations that nominate participants for this training course will benefit from:
- Enhanced accuracy in underwriting and pricing strategies using AI tools
- Streamlined claims processes with automation and intelligent fraud detection
- Development of innovative, customer-centric products driven by data insights
- Strengthened compliance with transparency, data governance, and AI ethics
- Integration of ESG principles into insurance models through AI insights
- Acceleration of digital transformation across insurance operations
Personal Impact
Participants will gain future-focused skills and insights, enabling them to:
- Build foundational knowledge in AI applications specific to insurance
- Improve analytical abilities for strategic decision-making
- Apply AI technologies in underwriting and claims workflows
- Design forward-thinking insurance offerings using predictive analytics
- Navigate the complexities of regulation, ethics, and sustainability
- Advance their careers through high-demand digital competencies
Who Should Attend?
This training course is suitable for a wide range of professionals across the insurance value chain involved in digital transformation, product development, or risk management. It is especially relevant to those seeking to integrate AI into their strategic, operational, or technical roles.
This Oxford Management Centre AI in Insurance training course is suitable for a wide range of professionals but will greatly benefit:
- Insurance Professionals involved in underwriting, claims, and product development looking to enhance decision-making using AI
- Risk and Compliance Officers seeking to understand AI’s implications on governance, ethics, and regulatory compliance
- Actuarial and Data Analytics teams aiming to apply AI in modelling, forecasting, and risk pricing
- Technology and innovation Leaders responsible for digital transformation and AI integration in insurance processes
- Brokers, Reinsurers, and Financial Services Professionals exploring AI-driven business models and ecosystem partnerships
Course Outline
Day One
AI Foundations & Risk Transformation
- Introduction to AI in Insurance
- How digital transformation alters traditional risk models
- Regulatory compliance for AI models, and consumer protection
- Incorporating AI-generated data into pricing models and actuarial projections
- Impact of GDPR and ethical use of customer data in insurance AI models
- AI as a tool for environmental risk modeling and supporting social inclusion
Day Two
AI in Underwriting & Risk Selection
- Automated Risk Assessment
- Use of lifestyle, wearable, and telematics data in personalizing premiums
- Role of AI in redefining assumptions and claim probabilities
- Legal risks and ethical issues in AI-based decision-making
- Supervisory expectations around algorithmic underwriting
- Embedding ESG metrics in underwriting through AI
Day Three
AI-Driven Claims Management & Fraud Detection
- Early warning systems and severity prediction using AI
- Fraud Detection Tool, and link analysis for uncovering suspicious claims
- Improved claims forecasting, reserving accuracy, and trend identification
- Challenges in using AI for claims denials or disputes; importance of transparency
- Customer-Centric Claims Automation
- AI in managing climate claims, promoting fairness and identifying ESG-related losses
Day Four
New Products, Services & Ecosystems
- AI Product Innovation: Parametric and micro insurance, usage-based models
- Embedded Insurance: Integration with retail, travel, fintech, and health platforms
- Smart Services: Maintenance, health coaching, smart home support by AI
- Leveraging real-time data to build continuously priced, adaptive products
- Cross-border data-sharing and licensing concerns for ecosystem players
- ESG-Driven Innovation: energy efficiency, climate resilience, underserved populations
Day Five
Distribution, Safety & the Future of Insurance
- Next-Gen Distribution: chatbots, robo-advisors, and recommendation engines
- Data-driven tailoring of offers and proactive risk alerts
- AI’s impact on underwriting and claims roles; upskilling for the future.
- Fair marketing practices, informed consent, and AI accountability in digital sales
- Using AI data to refine distribution channel efficiency and customer lifetime value
- Expanding access to underserved markets through AI-enhanced digital channels
Certificate
On successful completion of this training course, Oxford Management Centre Certificate with eligible Continuing Professional Education credits (CPE) from National Registry of CPE Sponsor will be awarded to the delegates
Accreditation
In association with
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FREQUENTLY ASKED QUESTIONS
Yes, we provide assistance in securing both hotel reservations & entry visa on all our international training venues, for delegates attending our training courses. For further information / assistance, please contact our Customer Service at:
- Telephone: +971 50 985 0174
- E-mail: info@oxford-management.com
Yes, Oxford Management Centre is accredited by the following professional bodies;
National Association of State Board of Accountancy (NASBA)
The Oxford Management Centre is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit.
Yes, discounts are available. For further information please call +971 50 985 0174 or email, info@oxford-management.com
Note: Discounts are not applicable with any other special offer that may be available.
All course bookings made through Oxford Management Centre are non-refundable. By registering for a course, you acknowledge and accept that fees are payable in full and are not subject to refund under any circumstances, including but not limited to participant dissatisfaction, changes in personal or professional circumstances, or partial attendance.
Oxford Management Centre reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Full details of each course – including objectives, target audience, and content – are clearly outlined prior to enrolment, and it is the responsibility of the delegate to ensure suitability before booking.
There are 2 easy ways to register:
- Online: Select the training course you want to register for, Click the “Book Your Place” button on the course page, complete the form and click submit.
- E-mail: Send your details to info@oxford-management.com
We request that all cancellations be made at least one week before the class start date. You may reschedule this class without any penalty. If not, a $250 fee will be charged for cancellations received less than one week before a class begins and for no-shows. Cancellation penalties and any fees incurred by Oxford Management Centre will be deducted from refunds.
For more information request, email info@oxford-management.com or call +971 50 985 0174.
The classroom training fees include course presentation, relevant materials, physical & digital documentation, lunch and refreshments served during entire training. Accommodation and transportation are not included in the training course fees.
While, online training fees cover the course presentation and digital documentation and relevant materials.
The Oxford Management Centre Certificate of Completion with corresponding CPE credits shall be awarded to delegates who has successfully completed the training course.
Payment must be received before the training course commences. You can make payment by bank draft, cash, credit card or wire transfer.
Note: If the payment is not received, Oxford Management Centre has the right to refuse admission.
Upon receipt of your registration form, we will send you the following by e-mail:
- Registration Confirmation
- Invoice/Receipt (where appropriate)
If you register online you will receive an e-mail within 24 hours confirming your registration.
