Description

A focused course, tailored for you

Building Modern Insurance Claims Management (AI-Augmented Triage + Fraud + Subrogation + Customer Experience + Regulatory)

Build the modern insurance claims management capability in 10 weeks. AI-augmented triage + fraud + subrogation + customer experience + regulatory.

Insurance claims management has shifted hard: AI-augmented triage at FNOL, computer-vision damage assessment, fraud detection at scale, subrogation modernisation, customer-experience expectations from auto and home and life and commercial customers, and state-DOI regulatory scrutiny under AI. Claims managers who build the modern capability take the senior claims work. Here is the 10-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Insurance claims management at major carriers (Progressive, GEICO, State Farm, Allstate, USAA, Liberty Mutual, Travelers, Nationwide, Farmers, Auto-Owners, Chubb, AIG, The Hartford, MetLife, Erie, American Family) has shifted hard in 2024-2026.

AI-augmented triage at first notice of loss (FNOL), computer-vision damage assessment from photos and videos, fraud detection at scale (claims-fraud rings, opportunistic fraud, soft fraud), subrogation modernisation (AI-driven liability assessment, automated subro-recovery workflow), customer-experience expectations from auto and home and life and commercial customers (real-time status, self-service, fast settlement), and state-DOI regulatory scrutiny under AI (Colorado Reg 10-1-1 for life insurance, NAIC Model Bulletin on AI, state UDAP application) all need to land at the claims-management layer.

Claims managers who build the modern capability take the senior claims work. Claims managers who stay on classic adjustment patterns watch the senior work shift to peers.

This course teaches the 10-week build of modern insurance claims management: AI-augmented triage, computer-vision damage assessment, fraud framework, subrogation modernisation, customer-experience model, regulatory framework, and the executive-engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific line of business.

What you walk away with

A documented AI-augmented FNOL and triage framework.
A computer-vision damage assessment architecture.
A fraud detection and investigation framework.
A subrogation modernisation framework.
A customer-experience model.
A regulatory framework (state-DOI + NAIC + Colorado Reg 10-1-1).
An executive-engagement model.
A 10-week build plan.

The 12 modules

Module 1. Insurance claims landscape 2026

Detailed walkthrough of the insurance claims landscape in 2026: competitor moves at Progressive, GEICO, State Farm, Allstate, USAA, Liberty Mutual, Travelers, Nationwide, Farmers, Auto-Owners, Chubb, AIG, The Hartford, MetLife, Erie, American Family; AI-augmented triage deployment patterns; computer-vision damage assessment patterns; fraud landscape; subrogation modernisation patterns; regulatory landscape (state DOIs, NAIC Model Bulletin on AI, Colorado Reg 10-1-1 for life, NY DFS Letter on AI, California DOI AI guidance, EU Solvency II governance where applicable).

Module 2. AI-augmented FNOL and triage

Build the AI-augmented FNOL and triage framework: multi-channel FNOL capture (call, web, mobile, IoT-trigger, agent-relay), AI-driven triage (severity, complexity, fraud risk, liability assessment, reserve setting), AI-driven assignment, AI-driven customer-experience routing, and the integration with broader claims-management platform (Guidewire ClaimCenter, Duck Creek, Origami, Sapiens, in-house). Three FNOL/triage patterns at peer carriers.

Module 3. Computer-vision damage assessment

Build the computer-vision damage assessment architecture: photo and video capture pattern (customer-self-service, dispatched adjuster, drone, IoT-triggered), CV model selection (Tractable, CCC One, Mitchell Intelligent Estimating, Hyland CV, in-house), CV-driven estimate generation, human-in-the-loop pattern, audit-trail integration, and the integration with broader estimating platforms. Three CV patterns at peer carriers.

Module 4. Fraud detection and investigation

Build the fraud detection and investigation framework: AI-driven fraud-scoring at FNOL (Shift Technology, Friss, FRISS, Quantexa, NICE Actimize, SAS, in-house), network-analysis for fraud rings, opportunistic-fraud detection, soft-fraud detection, SIU (Special Investigation Unit) integration, evidence-collection workflow, and the integration with broader fraud-management strategy. Three fraud patterns at peer carriers.

Module 5. Subrogation modernisation

Build the subrogation modernisation framework: AI-driven liability assessment, automated subrogation-recovery workflow, third-party-data integration (police reports, ISO ClaimSearch, LexisNexis), pursuit-decision framework, recovery-tracking, and the integration with broader subrogation function. Three subrogation patterns at peer carriers.

Module 6. Customer-experience model

Build the customer-experience model: real-time status communication, self-service capability, settlement-speed framework, vendor-network experience (body shops, contractors, medical providers), digital-payment integration, NPS measurement, complaint-aggregation feedback loop, and the integration with broader customer-experience strategy. The model that drives renewal and retention.

Module 7. Regulatory framework

Build the regulatory framework: NAIC Model Bulletin on AI Systems (adopted 2023, state-by-state adoption progressing), Colorado Reg 10-1-1 for life insurance (effective 2024 with ongoing state extension), NY DFS Letter on AI, California DOI AI guidance, Texas DOI guidance, Florida DOI guidance, Solvency II governance for European subsidiaries, state UDAP application to AI claims decisions, fair-claims-settlement-practice acts, bad-faith doctrine, and the integration with broader regulatory affairs.

Module 8. Bias monitoring across protected classes

Build the bias-monitoring framework across protected classes (race, ethnicity, gender, age, marital status, religion, disability, national origin, sexual orientation, gender identity where state-protected): disparate-impact metrics, bias-investigation workflow, remediation patterns, executive-reporting cadence, and the integration with broader fair-claims-practice and equal-credit-opportunity-act / civil-rights-act compliance. The framework that prevents enforcement action.

Module 9. Claims technology stack

Build the claims technology stack: core claims platform selection (Guidewire ClaimCenter, Duck Creek Claims, Origami Risk Claims, Sapiens IDIT Claims, in-house), AI-augmentation platform integration, document-handling platform (Hyland OnBase, Iron Mountain, in-house OCR), fraud platform integration, subrogation platform integration, customer-experience platform integration, and the integration architecture.

Module 10. Claims operations management

Build the claims operations management framework: workload-balancing, adjuster-coaching framework, quality-assurance programme, customer-complaint management, vendor-management (body shops, contractors, medical providers, defense counsel), and the integration with broader claims leadership.

Module 11. Executive engagement

Build the executive engagement: Chief Claims Officer partnership, COO partnership, CIO partnership, CRO partnership (claims reserve management, large-loss claims), CCO partnership (state-DOI engagement), and the integration with broader claims leadership cadence.

Module 12. Your 10-week build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: insurance claims landscape + AI-augmented FNOL and triage framework. Weeks 3-4: computer-vision damage assessment architecture + fraud detection and investigation framework. Weeks 5-6: subrogation modernisation + customer-experience model. Weeks 7-8: regulatory framework + bias monitoring. Weeks 9-10: claims technology stack + claims operations management + executive engagement. Deliverable: modern claims management capability ready for next quarter.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.

Modules 2 to 5 produce AI-augmented FNOL/triage, computer-vision damage assessment, fraud detection, and subrogation modernisation.

Module 6 covers customer experience.

Module 7 covers regulatory framework.

Module 8 covers bias monitoring.

Module 9 covers claims technology stack.

Module 10 covers claims operations management.

Module 11 covers executive engagement.

Module 12 covers the 10-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates and worked examples for AI-augmented FNOL and triage, computer-vision damage assessment, fraud detection and investigation, subrogation modernisation, customer-experience model, regulatory framework, bias monitoring, claims technology stack, claims operations management, executive engagement.
A hand-built implementation playbook generated for your specific line of business.
Three worked examples of modern claims management at peer carriers.
Scripted talking points for the Chief Claims Officer and CRO engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: AI-augmented FNOL framework scaffold drafted.

Week 4: Computer-vision assessment + fraud framework designed.

Week 8: Subrogation + customer experience + regulatory framework operational.

Week 10: Modern capability in operation.

Before and after

Before

Your claims practice handles classic adjustment patterns. AI tools are deployed in pieces but not orchestrated. Fraud detection lags peer carriers. Customer-experience pressure mounts. State-DOI AI scrutiny increases. Senior claims work goes to peers shipping the modern capability.

After

A modern claims management capability is in operation. AI-augmented FNOL and triage, computer-vision damage assessment, fraud detection and investigation, subrogation modernisation, customer-experience model, regulatory framework, bias monitoring, claims technology stack, claims operations management, executive engagement are all designed.

What happens if you do not address this

Claims managers without the modern capability miss senior claims work. State-DOI AI scrutiny is increasing in frequency and severity.

Who it is for

For claims managers, claims operations leaders, claims technology leads, and senior claims professionals at major insurers across auto, home, life, and commercial lines.

Who this is NOT for. Pure underwriting roles without claims scope. Claims professionals at firms with no insurance carrier business. Pure reinsurance roles.

How it arrives

Text-based course via LMS, plus downloadable templates and worked examples and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 80 to 160 hours of claims-team effort across the 10-week build.

Why $199 is the right number

External insurance-claims consultants (specialist firms like Insurity, Sapiens Consulting, the firm Insurance, the firm Insurance, the firm Insurance, McKinsey Insurance) charge $300K-$1.5M for claims-modernisation programmes. Claims-platform replacement programmes run $5M-$50M. $199 buys the focused playbook plus the implementation document for your specific line of business.

FAQ

Will this replace hiring a claims-modernisation consultant?

Partially. It teaches the modern capability. You may still want specialist input for platform replacement.

What if my LOB is commercial-lines (not personal-lines)?

Modules 2, 4, and 6 cover commercial-lines-anchored patterns.

Does this cover life-insurance claims (with Colorado Reg 10-1-1)?

Module 7 covers Colorado Reg 10-1-1 in depth.

What about catastrophe-claims handling (CAT)?

Module 10 covers CAT operations.

What is in the implementation playbook for me specifically?

AI-augmented FNOL framework tailored to your specific LOB; regulatory framework matched to your operating states; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.