Insurance Operations Automation

SkillDev tools

Insurance Operations Automation

Available today. Use it from your connected AI after setup.

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

MetricPersonal Lines TargetCommercial Target
Combined Ratio95-98%88-95%
Loss Ratio60-70%55-65%
Expense Ratio25-32%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

ProcessHours/Month (50-person broker)Agent-Ready?Expected Savings
Quote comparison160hYes — now$140K-$280K/yr
FNOL intake120hYes — now$105K-$210K/yr
Policy document generation80hYes — now$70K-$140K/yr
Renewal processing100hYes — now$87K-$175K/yr
Compliance checks60hYes — now$52K-$105K/yr
Subrogation identification40hPartial$35K-$70K/yr
Complex claims adjustment200hHuman-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