Typical claims journey:
├── Customer calls: 15-minute average
├── Wait time: 8-20 minutes
├── FNOL data collection: 10-15 minutes
├── Follow-up calls: 2-3 per claim
├── Status inquiries: 4-6 per claim
├── Simple claim resolution: 7-14 days
└── Customer satisfaction: 3.2/5

With AI chatbot:
├── FNOL submission: 3-5 minutes
├── Available: 24/7/365
├── Status updates: Instant, anytime
├── Simple claims: Auto-processed
├── Complex claims: Routed correctly
├── Customer satisfaction: 4.3/5
└── Cost per interaction: €0.50-2.00

Auto claim:
├── Accident details collection
├── Photo/video upload
├── Police report information
├── Third-party details
├── Witness information
├── Vehicle damage assessment
└── Initial liability indication

Home claim:
├── Incident type identification
├── Damage documentation
├── Emergency service coordination
├── Temporary repairs authorization
├── Inventory of damaged items
└── Proof of ownership guidance

Health claim:
├── Treatment details
├── Provider information
├── Pre-authorization status
├── Required documentation
├── Coverage verification
└── Claim amount estimation

Customer: I was in a car accident
Bot: I'm sorry to hear that. Are you and all 
     passengers safe? Do you need emergency services?

Customer: We're fine, just car damage
Bot: Good. Let me help you file your claim.
     
     First, when did the accident happen?
     [Date picker shown]

Customer: Today at 2:30 PM
Bot: Where did the accident occur?
     [Map interface or address input]

Customer: Corner of Main St and Oak Ave
Bot: Please upload photos of:
     1. Overall vehicle damage
     2. Close-up of each damaged area
     3. The accident scene (if safe)
     4. Other vehicle(s) involved
     
     [Upload interface]

[After upload]
Bot: Based on the photos, I can see:
     - Front bumper damage
     - Headlight assembly damage
     - Hood denting
     
     Estimated repair range: €2,500-4,000
     
     Was another vehicle involved?

Customer: Yes, they hit me from behind
Bot: Please provide:
     - Other driver's name
     - Their insurance company
     - Their policy number (if available)
     - Their vehicle details
     
     [Form shown]

[After completion]
Bot: Your claim has been filed.
     
     Claim number: CLM-2026-847291
     Type: Auto collision
     Status: Under review
     
     Next steps:
     1. Adjuster assignment: Within 24 hours
     2. You'll receive a call to schedule inspection
     3. Rental car: Pre-approved for 7 days
     
     Questions? Ask anytime or call 0800-XXX-XXX

Automated updates sent via chatbot:
├── Claim received confirmation
├── Adjuster assigned notification
├── Document request
├── Inspection scheduled
├── Estimate completed
├── Payment approved
├── Payment sent
└── Claim closed

Customer can ask:
├── "What's my claim status?"
├── "When will I get paid?"
├── "Who is my adjuster?"
├── "What documents do you need?"
├── "Where is my rental car?"
└── "When is my inspection?"

Bot identifies missing documents:
├── Policy holder ID
├── Proof of loss
├── Photos/videos
├── Receipts/invoices
├── Medical records
├── Police reports
├── Repair estimates
└── Third-party correspondence

Document processing:
├── OCR extraction
├── Validation checks
├── Completeness verification
├── Fraud indicators flagging
└── Automatic filing

Auto-approved claims:
├── Glass replacement (windshield)
├── Minor theft (under threshold)
├── Simple property damage
├── Standard medical reimbursement
├── Travel cancellation (covered reasons)
└── Pet insurance claims

Process:
1. Bot collects required information
2. System validates coverage
3. Fraud scoring runs automatically
4. If score < threshold → Auto-approve
5. Payment initiated same day
6. Customer notified

Result: 25-40% of claims auto-settled

Core systems:
├── Policy administration system
│   └── Coverage verification, limits, deductibles
├── Claims management system
│   └── FNOL creation, status updates
├── Document management
│   └── Upload, storage, retrieval
├── Payment system
│   └── Settlement processing
└── Customer data platform
    └── Contact info, preferences, history

External integrations:
├── Repair network
│   └── Garage finder, estimate system
├── Medical provider network
│   └── Pre-authorization, direct billing
├── Rental car partners
│   └── Automatic booking
├── Weather data
│   └── Event correlation
└── Fraud databases
    └── Cross-reference checks

Regulatory compliance:
├── GDPR/Data protection
│   └── Consent management, data retention
├── Insurance regulations
│   └── Claims handling timelines
├── Financial services rules
│   └── Customer communication requirements
├── Accessibility
│   └── WCAG compliance for all interfaces

Security requirements:
├── Encryption at rest and in transit
├── Access controls and audit logs
├── PII protection
├── Fraud prevention
└── Business continuity

Chatbot collects fraud signals:
├── Time patterns (claim timing)
├── Location inconsistencies
├── Photo metadata analysis
├── Narrative inconsistencies
├── Historical claim patterns
├── Network connections
└── Behavioral indicators

Fraud scoring:
├── Low risk: Auto-process
├── Medium risk: Enhanced review
├── High risk: SIU referral
└── Very high risk: Investigation queue

Monthly benefit = (automated inquiries x minutes saved x cost/minute)
                + (recovered inquiries x conversion rate x avg order value)
                - monthly fee
Payback = setup fee / monthly benefit

Deliverables:
├── FNOL intake for 2-3 claim types
├── Status inquiry automation
├── Basic document upload
├── Claims system integration
├── Agent escalation

Success metrics:
├── 40% FNOL via chatbot
├── 60% status inquiries automated
├── <5% escalation rate for simple queries
└── CSAT >4.0

Deliverables:
├── All claim types covered
├── Document processing automation
├── Repair network integration
├── Proactive updates
├── Multi-channel (web, app, WhatsApp)

Success metrics:
├── 70% FNOL via chatbot
├── 80% status inquiries automated
├── 20% simple claims auto-settled
└── Average handling time -50%

Deliverables:
├── Fraud detection integration
├── Predictive claim routing
├── Auto-settlement expansion
├── Personalized communication
├── Continuous learning/improvement

Success metrics:
├── 85% first-contact resolution
├── 35% claims auto-settled
├── Fraud detection rate +25%
└── Processing cost -60%

✓ Start with high-volume, simple scenarios
✓ Integrate deeply with claims system
✓ Enable seamless human handoff
✓ Maintain empathy in messaging
✓ Proactively communicate status
✓ Make document upload simple
✓ Provide clear next steps always

✗ Forcing chatbot for complex claims
✗ Generic responses without context
✗ No escalation path
✗ Requiring login for status
✗ Silent periods without updates
✗ Technical jargon
✗ Hiding human contact options

Support staff impact:
├── Role shift: Data collection → Problem solving
├── Training: Chatbot handoff procedures
├── Tools: Agent dashboard with chat context
├── Metrics: Quality over quantity

Benefits for agents:
├── Less repetitive work
├── More interesting cases
├── Better customer interactions
├── Higher job satisfaction