Trusted & Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
AI has the potential to enable insurance to be faster and smarter, if done responsibly, however. As insurers hold sensitive data, premium calculations, claims, and customer trust, a robust AI insurance solution requires a first line of clean data, integrity controls, regulations/regulatory compliance, and human oversight.
AI needs accurate data to give useful results. If claim files, policy records, or customer details are messy, the output can be unreliable. That is why AI solutions for insurance should start with proper data cleanup and validation.
AI can repeat unfair patterns if it learns from biased historical data. Good insurance AI solutions need bias checks, explainable results, and human oversight to keep pricing, underwriting, and claims decisions fair.
Insurance companies cannot risk exposing customer or financial data. AI-based insurance solutions should include secure data handling, audit trails, approval controls, and clear documentation for compliance.
Insurance teams are familiar with their processes, but they might need AI guidance. Education, clarity, and AI experts' support ensure they use AI with confidence.
The Cost of Inaction
InsurTech and AI native carriers underwrite faster, price more accurately, and process claims more cheaply. Traditional carriers lose share every quarter they delay.
We build AI insurance solutions that help insurers speed up claims, detect fraud, support underwriting, improve customer service, and keep compliance in control.
We build AI insurance solutions that help teams review documents, check claim details, and move simple cases faster.
Our AI looks for unusual patterns, duplicate claims, fake documents, and risk signals that need closer investigation.
We create AI tools that help underwriters review customer data, policy history, and risk factors with better clarity.
Our AI solutions for insurance can read policy files, invoices, forms, and reports to pull out key information quickly.
We build AI assistants that answer policy, renewal, claim, and coverage questions so customers get help faster.
Every solution is built with human review, audit trails, secure data handling, and explainable outputs from the start.
See how blockchain-powered solutions eliminate the inefficiencies of traditional finance.
Blockchain Networks
Infrastructure
Smart Contract Standards
Integrations & Partners
Technical Architecture
Designed for actuarial validation, regulator review, and PAS integration.
Blockchain Networks
Infrastructure
Smart Contract Standards
Integrations & Partners
AI performs well in insurance when it adapts to your way of working. We observe your claims, underwriting, documentation, fraud screening, and approvals and prepare AI insurance solutions that speed up your operations while improving clarity and control.
Workflow Study 1-2 Weeks
We understand how your insurance teams handle claims, policies, underwriting, and support before suggesting any AI use case.
Use Case Planning 1-2 Weeks
We identify the markets where AI actually provides value, such as document screening, suspicious activity alerts, claim review, or service automation.
Data Preparation 1-2 Weeks
We clean and organize your policy, claim, and customer data so the AI can work with accurate information.
AI Build 3-6 Weeks
We create insurance AI solutions that follow your business rules, approval logic, compliance needs, and review process.
Tool Integration 2-3 Weeks
We connect the AI with your existing claims system, CRM, policy platform, helpdesk, or internal dashboards.
Real Testing 1-2 Weeks
We test the solution with real insurance cases, document types, risk signals, and edge scenarios before launch.
Ongoing Tuning Ongoing
We monitor accuracy, team feedback, and how your workflow is performing so the system gets better as your business does.
Full production network live in 16-24 weeks from engagement start.
Every framework that governs insurance AI globally.
European Union
United States
United Kingdom
Singapore
UAE
Canada
Australia
NAIC AI Bulletin
US National Association of Insurance Commissioners AI use guidance
NYDFS Circular Letter 7
New York Department of Financial Services AI Use Circular
EU AI Act
High-risk AI requirements for insurance decisions
EIOPA AI Principles
European Insurance and Occupational Pensions Authority principles
GDPR Article 22
Automated decision-making protections
HIPAA
Health insurance data protection (US)
Solvency II
EU prudential regime overlaps with reserving AI
Fair Insurance Practices
State fair insurance practices acts (US)
Bank and HIPAA-grade security across personal, health, and commercial data.
AI/ML security assessments
AI model security platform
AI risk management
AI red teaming services
Enterprise AI security
LLM API security testing
Prompt injection detection & prevention
LLM output filtering & content moderation
Role-based access control for AI endpoints
PII detection & automatic redaction
Hallucination detection & confidence scoring
Rate limiting & abuse prevention
Audit logging for all AI interactions
Model versioning & rollback capability
Adversarial input detection
Data residency & sovereignty controls
End-to-end encryption for sensitive prompts
Human-in-the-loop escalation workflows
Enterprise-Grade Security
Bank-level encryption and compliance standards.
256-bit AES encryption
99.99% Uptime SLA
24/7 Monitoring
AI is revolutionizing how insurers process claims, risk, underwriting, fraud, and customer service. The leading AI insurance products are not simply stand-alone tools. They slot into existing insurance workflows, allowing teams to go faster while maintaining greater control.
See Our AI Solutions in Action
Get a personalized live demo tailored to your exact use case built by the same engineers who will work on your project.
Why insurers choose Block Technologies over insurtech vendors and in-house teams.
Ment Tech delivers regulator-ready insurance AI in 16 weeks, faster than in-house, deeper than generic insurtechs.
Case Study
Top 10 EU Motor Insurers
P and C Motor !
The Challenge
A major EU motor insurer was struggling with customer migrations to telematics-first competitors that wrote young driver and high mileage business at more accurate prices. An earlier automated AI pricing innovation did not go into production because of bias, fairness, and Articles 20 and 22 regulatory issues.
Our Solution
Ment Tech built an explainable telematics pricing AI using driver behavior data, controlled model rules, and bias mitigation. SHAP-based insights helped justify pricing decisions, support disclosures, and make underwriting reviews easier.
+14% ↗ Year One Across Motor Book
Underwriting Profit Lift
EUR 800M ↗ moved onto telematics pricing
Gross Written Premium
-9pp ↗ vs traditional pricing
Loss Ratio Improvement
0 ↗First EIOPA review
Regulator Findings
ROI & Value
Measured impact across underwriting, claims, fraud, and customer functions.
Key Metrics
telematics and behavioral pricing
vision AI on FNOL
Graph ML on claim networks
AI underwriting on suitable lines
Underwriting Profitability
Loss ratio improvement of 8 to 15 percent across motor, SME, and specialty lines.
20M to 200M per year
Claims Operating Cost
Vision and document AI cuts claims cycle time and FTE requirements.
5M to 40M per year
Fraud Recoveries
A 30 to 40 percent lift in SIU catch rate translates directly to recovery uplift.
5M to 50M per year
Potential Annual Saving
Up to 70%
Engagement structures aligned to carrier procurement and regulatory posture.
Insurance AI Assessment
Three-week assessment of AI opportunities across underwriting, claims, fraud, and customer.
Carriers scoping their first or next AI program
Production AI Build
End-to-end build of a single insurance AI use case with regulator-ready documentation.
Carriers ready to ship
Multi-Use Case Program
Multi-use case AI program across underwriting, claims, and fraud with a shared platform.
Top 50 carriers
What's Included in Every Engagement
Get Your Tailored Project Quote
Share your requirements and receive a detailed technical proposal with transparent pricing within 48 business hours.
FAQ
AI can study claim history, customer behavior, document patterns, and unusual activity to identify possible fraud early. It does not make every fraud decision on its own, but it gives teams stronger signals so they can investigate the right cases sooner.
Still have questions?
Can’t find the answer you’re looking for? Our team is here to help.
Related Services
AI Claims Processing
Make claims easier to handle by helping teams review documents, check case details, and move genuine claims forward faster.
AI Fraud Detection
Find suspicious patterns early, from repeated claims and fake documents to unusual customer activity that needs a closer look.
AI Financial Compliance
Keep compliance work more organized with AI that helps track rules, flag risks, and prepare cleaner records for audits.
AI Credit Scoring
Support underwriting teams with better insight into customer risk, repayment behavior, and financial reliability before decisions are made.
AI for Banking & Finance
Build secure AI systems for risk checks, document review, reporting, customer support, and finance-heavy workflows.
Fintech Software Development
Set up digital channels for payments, billing, client portals, policy dashboards, and insurance-focused financial services.
Book an Insurance AI Assessment. Three weeks to a regulator-scoped roadmap and ROI case for your priority use cases.