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Insurance technology partner to:

AIG logo
Accelerant logo
Hamilton logo
Chubb logo
Guy Carpenter logo
Everest logo
Munich RE logo
Guardian logo
Great American logo
MarshMcLennan logo
Coverys logo
Surex logo
AIG logo
Accelerant logo
Hamilton logo
Chubb logo
Guy Carpenter logo
Everest logo
Munich RE logo
Guardian logo
Great American logo
MarshMcLennan logo
Coverys logo
Surex logo

High-ROI AI use cases for insurance

Apply AI to the most difficult, costly challenges insurance carriers face. Identify highest-ROI opportunities in claims processing, underwriting, fraud detection, operations.

Claims document intelligence

AI reads, extracts, and summarizes claims documents at scale. ROI: 60–80% reduction in review time, up to 90% cost savings.

Outcome: Faster settlements and the ability to handle 2–3× claim volume with the same team.

Claims decisioning & adjudication

Automate triage, routing, and approval of routine claims. ROI: 40–60% lower processing costs, 30–50% faster cycle time.

Outcome: Straight-through processing for low-complexity claims and shorter settlement cycles.

Underwriting automation & risk scoring

AI-powered submission triage and risk scoring based on your loss history. ROI: 20–35% productivity increase, 5–12% loss ratio improvement.

Outcome: More quotes processed without increasing headcount or sacrificing discipline.

Fraud detection & investigations

Behavioral analytics and network graph models to detect organized fraud. ROI: 50–75% fewer false positives, 10–20% higher fraud detection.

Outcome: SIU teams focus on real fraud, preventing millions in annual losses.

Contract & policy intelligence

Extract terms, flag risks, and check compliance across policy documents. ROI: 60–75% time reduction, up to 10× more contracts analyzed.

Outcome: Increased underwriting capacity without expanding the team.

Regulatory & climate risk readiness

Explainable AI aligned with DoI, NAIC, and climate-adjusted pricing requirements. Impact: Reduced regulatory risk and faster rate approval cycles.

Outcome: Confident AI adoption that passes scrutiny and supports long-term pricing strategy.

Predictive claims analytics

Analyze claims patterns to predict outcomes, litigation risk, and reserve accuracy. ROI: Improved reserve accuracy and reduced litigation exposure.

Outcome: Smarter settlement strategies and more predictable loss performance.

Policy lifecycle & retention intelligence

Monitor renewals, flag lapse risks, and identify cross-sell opportunities. ROI: 5–15% improvement in retention, 10–25% lower acquisition cost.

Outcome: More premium retained without increasing marketing spend.

Customer communication automation

Automate routine inquiries, status updates, and coverage explanations. ROI: 40–50% reduction in service time, ~30% faster response.

Outcome: Better customer experience with lower service costs.

Insurance pathfinder process

Phase 01:
Business positioning

Understand where your organization stands today in the market and how it performs operationally.

Phase 02:
Strategy

Clarify where the business is headed — and the roadmap it’s relying on to get there.

Phase 03:
People & process architecture

Analyze how work gets done, by whom, and how roles, workflows, and capabilities align with goals.

Phase 04:
Data architecture

Identify what data exists, where it lives, how it flows, and what it enables (or restricts).

Phase 05:
System architecture

Assess the current technology stack that enables the business — from core systems to shadow IT.

Phase 06:
External vendors

Map out critical third-party dependencies and external relationships that impact delivery, data, or customer experience.

Built for real insurance environments

Systems we've integrated:

  • Duck Creek
  • Guidewire
  • Insurity
  • Majesco
  • Applied Epic
  • Vertafore
  • Salesforce Financial Services Cloud
  • Proprietary policy admin platforms

Regulatory & compliance experience

  • State Department of Insurance compliance (50-state footprints)
  • NAIC model laws and standards
  • Rate filing processes and actuarial review
  • Climate risk disclosure requirements
  • Explainability standards for AI-driven underwriting
  • Privacy regulations (state-specific and federal)
“The technology that DOOR3 has provided has increased our efficiency, provided a better customer experience and has helped us build a reputation within the Canadian insurance industry as the most innovative broker in the country.
Matt Alston, Co-Founder, Surex Direct

Proven AI results in insurance

Regional P&C carrier claims transformation

Regional P&C carrier:
claims transformation

$8M annual claims processing costs, 45-day average settlement

  • Identified claims triage, document intelligence, fraud detection
  • Pilot Result: 60% cost reduction, 18-day average settlement, foundation for enterprise rollout
Specialty MGA underwriting modernization

Specialty MGA:
underwriting modernization

$180M written premium, underwriting capacity constraining growth

  • AI-powered submission triage + risk scoring integrated with proprietary system
  • Result: 45% submission capacity increase, 6-hour quote turnaround, maintained discipline and loss ratios
Mid-market carrier fraud detection

Mid-market carrier:
fraud detection

$50M annual fraud losses, 95% false positive rate overwhelming SIU

  • Behavioral analytics + network graph fraud detection
  • Result: 70% false positive reduction, 15% fraud detection increase = $7.5M annual loss prevention
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Request insurance pathfinder

30-minute confidential discussion with DOOR3’s insurance practice leadership.
Your operational priorities, current challenges, preliminary assessment of opportunities.