Exponential Insurance. Underwriting Redefined.

The real insurtech machine age is here. Smart Underwriting is a way forward for future of insurance companies.

Artivatic.ai

Feb 8, 2023

Insurance companies facing the challenges in building new-gen platforms for policy underwriting, risk assessment, automation due to existing legacy systems and disconnected multiple platforms. AUSIS - Smart AI UW System is design for the same to help Insurers to redefine the FUTURE OF UNDERWRITING.

AUSIS: NEW AGE AI BASED SMART UNDERWRITING PLATFORM

CONNECTED PLATFORM FOR INTELLIGENT DATA DRIVEN DECISION MAKING WITH LESS RISK, FRAUD AND TIME.

New Age Tech for Insurance risk assessment

Redefining Future

Analyse over 10X data in 1/10^th the time
Channelise human effort to higher value tasks
Enhance underwriting decision consistency and accuracy
Significantly improve risk assessment and reduce frauds and early claims
Take a holistic view of all data (physical, digital, past trends and external data)
Get value added insights for the underwriter to assess risks better

A Game Changer for Insurer. Future of Underwriting. Transform Risk Assessment Using Smart-tech

Self Decision Making & Learning.

Powerful Automated underwriting platform (version 3.0 in production) that provides 360 degree view to underwriter along with underwriting decision recommendation with scores and detailed insights
Underwriting rule engine (first of its kind implemented in production) which provides the power to make real-time changes and agility required for the business

Pre-trained models integrated with ICR/ OCR capability to digitize data from over 90 document classes

Ability to fetch multiple public information through APIs to enrich digital data and improved risk assessment and underwriting decisions

AUSIS making an Impact to the Insurance Industry. Big Way.

NO-PHYSICAL ANYMORE: manage digitally

Powerful Use-cases.

Handles over 1500+ insurance specific attributes
Pre-trained models to recognise, process and digitise data from over 80 document classes
Integrations with over 12 external APIs to enrich proposal data
Enriched data is used for inbuilt Business Rule Engine and Underwriting recommendation using AI/ML models
Over 15 different scores implemented in production to provide detailed insights into every new business proposal
Highly configurable Business Rule Engine (ProdX) integrated to configure all underwriting guidelines to provide a rule based decision (With over 350 parameters, 200 rules and 2500 sub-rules already configured)

Go Live- 2-4 months depending on the number of integrations to be done.

Pre-Trained Artificial Intelligence & ML Based Risk, Decision & Fraud Models. FASTER GTM 2-3 Months to Go Live

Online digital customer onboarding platform (agent assisted and customer self buy)- digitize onboarding journey with instant validations and decisions
Predict health vitals from photographs or videos – critical for underwriting decisions, improve risk assessment for non-medical portfolio
Face and signature matching – for stronger KYC, underwriting decision, fraud detection

Digitisation and risk scoring of various financial documents, KYC and medical reports – for strengthening underwriting decisions, fraud prevention and improved business analytics capability
Masking of Aadhar images real-time and legacy – for stronger regulatory compliance
Digitisation of documents such as Death Certificates, NACH, various questionnaires, claims forms etc – for process efficiency, reduction in operating expenses

Integrated Platform for any Journey, Platform or core Systems 🚀 : 100% - Micro Services Based System

Experience with Multiple Core Insurance Platforms like Ingenium, LifeAsia, AURA, OPUS, TCSBancs, INSTAB etc. 🚀 : 7+ different insurance systems

STP Improvement & Early Claims Detection🚀 : 40% Increasing STP & Reducing Fraud

Digitising Scanned, PDF & Handwritten Documents🚀 : Complete Patient Health App: 100+ Different Documents

GET AUSIS SMART AI UNDERWRITING PLATFORM DEMO.

Reach out to us: contact@artivatic.ai

Visit Website: https://artivatic.ai/