Insurance Operations Automation
SkillDev toolsInsurance Operations Automation
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Insurance Operations Automation skill
What this skill tells your AI
The instructions your AI receives, as published by fdu-ins/insurance-skills in Skills/afrexai-insurance-automation/SKILL.md and read by ahel’s review.
Comprehensive insurance operations framework for AI agents. Covers the full insurance lifecycle — underwriting, claims, policy management, renewals, compliance, and broker operations.
What This Skill Does
Guides your AI agent through insurance-specific workflows with industry benchmarks, regulatory requirements, and automation priorities.
Capabilities
1. Underwriting Assessment
- Risk scoring framework (12 factors, weighted by line of business)
- Data enrichment checklist (credit, claims history, property data, telematics)
- Referral triggers and authority limits by tier
- Combined ratio targets by line: Auto (95-98%), Home (85-92%), Commercial (88-95%), Life (varies by mortality table)
2. Claims Processing Pipeline
- FNOL intake automation (voice + digital, structured extraction)
- Severity triage: Green (auto-approve <$2K) → Yellow (adjuster review $2K-$25K) → Red (SIU referral >$25K or fraud indicators)
- Subrogation identification triggers
- Reserve estimation formulas by claim type
- Settlement authority matrix
3. Policy Administration
- Quote-to-bind workflow (target: <15 min for personal lines)
- Mid-term adjustment processing
- Renewal scoring: retention probability model (7 factors)
- Cancellation/non-renewal compliance by state/jurisdiction
4. Broker Operations (Jointly AI Model)
- 5-agent pipeline architecture: Intake → Research → Quoting → Analysis → Delivery
- Market panel management and placement optimization
- Quote comparison normalization across carriers
- FCA/state regulatory compliance verification
- Parallel execution: up to 4 simultaneous carrier interactions
5. Compliance & Regulatory
- US: State DOI requirements, NAIC model laws, Solvency II (reinsurers)
- UK: FCA handbook (ICOBS, SYSC), Consumer Duty, IDD compliance
- EU: Solvency II, IDD, GDPR for policyholder data
- Anti-fraud indicators (SIU trigger list — 15 red flags)
- SAR/suspicious activity reporting thresholds
6. Insurance Metrics Dashboard
| Metric | Personal Lines Target | Commercial Target |
|---|---|---|
| Combined Ratio | 95-98% | 88-95% |
| Loss Ratio | 60-70% | 55-65% |
| Expense Ratio | 25-32% | 28-35% |
| Claims Settlement Time | <48h (auto) | <14 days |
| Policy Issuance Time | <15 min | <24h |
| Renewal Rate | >85% | >80% |
| Quote-to-Bind Ratio | >25% | >15% |
| NPS | >40 | >35 |
7. Automation Priority Matrix
| Process | Hours/Month (50-person broker) | Agent-Ready? | Expected Savings |
|---|---|---|---|
| Quote comparison | 160h | Yes — now | $140K-$280K/yr |
| FNOL intake | 120h | Yes — now | $105K-$210K/yr |
| Policy document generation | 80h | Yes — now | $70K-$140K/yr |
| Renewal processing | 100h | Yes — now | $87K-$175K/yr |
| Compliance checks | 60h | Yes — now | $52K-$105K/yr |
| Subrogation identification | 40h | Partial | $35K-$70K/yr |
| Complex claims adjustment | 200h | Human-in-loop | $50K-$100K/yr |
8. Insurance-Specific Agent Prompts
Underwriting Agent:
You are an underwriting assessment agent. For each submission:
1. Extract all risk factors from the application
2. Score each factor against the risk matrix (1-10 scale)
3. Calculate composite risk score (weighted by line of business)
4. Flag any referral triggers (prior losses >3 in 5yr, credit <600, high-hazard occupation)
5. Recommend: Auto-approve / Refer to senior / Decline with reason
6. Generate underwriting memo with supporting data
Claims Triage Agent:
You are a claims triage agent. For each FNOL:
1. Extract: date of loss, type, description, estimated amount, policyholder details
2. Verify active coverage and applicable endorsements
3. Assign severity: Green (<$2K auto-process) / Yellow ($2K-$25K adjuster) / Red (>$25K or fraud flags)
4. Check fraud indicators against the 15-point SIU trigger list
5. Set initial reserve based on claim type benchmarks
6. Route to appropriate handler with priority score
90-Day Deployment Roadmap
Month 1: Deploy intake + quote comparison agents. Target: 70% of personal lines quotes handled autonomously.
Month 2: Add claims triage + policy document generation. Target: FNOL processing <5 minutes, auto-approval for Green claims.
Month 3: Compliance monitoring + renewal automation. Target: 85%+ renewal rate, zero compliance gaps.
Cost Framework
- Solo broker/MGA: $2K-$5K/month (2-3 agents)
- Mid-size broker (20-50 staff): $5K-$15K/month (5-8 agents)
- Carrier/large broker (100+ staff): $15K-$50K/month (10-20 agents)
Resources
- Calculate your insurance automation ROI → AI Revenue Leak Calculator
- Full Insurance & Fintech Context Pack → AfrexAI Context Packs — $47, includes fintech agent configurations, compliance frameworks, and industry benchmarks
- Configure your insurance agent stack → Agent Setup Wizard
- Bundle: Pick 3 packs for $97 | All 10 for $197 | Everything $247
Signals
- GitHub stars
- 73
- Forks
- 19
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
afrexai-insurance-automation- Source
- github.com/fdu-ins/insurance-skills