Digitization & Cognitive Process Automation for claims processing
Named in tribute to Arthur Samuel who coined the term Machine Learning in 1959 that drives much of the Artificial Intelligence of today, Arthur AI brings high levels of automation to the insurance claims settlement process.
Our patent pending AI claims engine can do the following –
Figure out Claim eligibility assessment
Evaluate Claim Sub-limits
Understand Claim Relatedness
Claim costs determination of outliers
The models have been created using Convolutional Neural Networks, Random Forest, Support Vector Machines, Time series and such. At least two models are deployed to bring higher levels of accuracy in the outcome probabilities. This SAAS product is great for Insurance firms as they can get going with automation without any capital expenditure (capex)
How Arthur AI works
Learning
Arthur AI learns from data in your transactions systems, customer master, past fraud cases and any other customisations for you.
Processing
It uses advanced algorithms to perform claims processing tasks such as claim eligibility assessment, sub-limits, relatedness and costs determination of outlier etc.
Validation
Post-processing algorithms process this data and presents output in the desired format.
Manual override
If there is any ambiguity in validation, it automatically prompts the user to review, add or change. It also learns constantly from the user’s inputs.
How we achieve near-100% accuracy with Arthur AI
At least 2 models for higher accuracy
In Arthur AI, there are at least two models working simultaneously on automation, ensuring near-100% accuracy.
De-noising
De-noising systems from simple Otsu methods to deep learning-based segmentation algorithms improve Arthur AI’s extraction quality.
Exclusive algorithms for correcting false predictions
DeepQuanty’s patent-pending algorithms are designed especially to correct false predictions, and guess values in noisy images, at 100% accuracy.
Dual algorithmic journeys for building quorum
It builds quorum using two algorithms for every field. Each algorithm has different deep learning bases and maths for feature extraction methods, number of layers, loss functions etc.
Claim your POC
Take Arthur AI for a spin with our free customised proof-of-concept for insurance providers in India. Fill the form below to claim yours now.
