Insure your future with Cognitive Automation
Cognitive software robots tap on the power of Artificial Intelligence (A.I.) to make sense of data, and combine with rules-based automation to link workflows in a contextual manner. Relieve the burden of over-flowing back-office transactions and legacy systems in the highly-regulated insurance industry. You can ensure timely approvals of claims, fast background checks for on-boarding, accurate calculations for underwriting, and consistent reports for sending to authorities with the help of cognitive software robots.
Case for Insurance
Gleematic pick up info from PDF file and type into Excel File. We can use the template to train Gleematic to recognize each field of information.
Next steps for the modern insurance company:
Automation, such as RPA (Robotic Process Automation), has made inroads into insurance companies, especially for rules-based, voluminous back-office processes. However, RPA has a lot of limitations in handling non-structured data which is common for the insurance industry.
Thus, the next stage to achieve larger extent of automation and greater efficiency will be to put in cognitive automation that infuses various forms of artificial intelligence to automation. It is flexible and intelligent enough to cater to different types of data such as information presented in claim-forms or hospital bills. It does a better job of streamlining activities for life insurance, motor insurance, health insurance liability insurance or others.
Cognitive Automation can organise both structured and unstructured information from an unprecedented breadth of sources in an intelligent manner, and fills the gap in rules-based automation such as RPA.
Claim-processing
Data from claim-forms with typed text in multiple languages can be processed by the help of AI and automation.
On-boarding customer
A.I. and OCR get customer’s information from identity documents or forms and then automatically enter into systems.
General policy administration
Cognitive robots handle customers' requests regarding policy transfer, renewals, retrieval of policies, etc.
Underwriting process
A.I. predicts profiles of potential clients and rules-based robots can manipulate data from multiple sources for calculations.
Statutory Reporting
Collate data for submissions, coordinate and populate draft statements, identify anomalies and errors.
Predictive analysis
Predict likelihood of a person to make a purchase/ claim, suggestion of insurance products to prospects.
Why Cognitive Automation for Insurance?
- (A.I.) Reduce level of human intervention
- (A.I.) Automate a wider range of tasks (beyond rules-based)
- (A.I.) Make predictions and recommendations for increased revenue and customer satisfaction
- Streamline processes
- Adhere to specified procedures
- Comply to regulations
- Work with existing I.T. applications
- Avoid fines due to time-sensitive declaration
- Achieve up to 50% FTE savings
REDUCED COSTS
Save up to 70% compared to overhauls
SPEEDY TRANSACTIONS:
3X to 5X Faster
FAST DEPLOYMENT:
Start to see results in weeks!
Automate insurance smartly!
Go above and beyond with Gleematic A.I. Cognitive Automation for insurance. The risks are low, as you don’t have to change your core-insurance system or to invest a fortune to try out. Our exclusive technology is easier to use and set up compared to other automation tools. Even end-users can be empowered to tap into the power of A.I. robots, and you can learn to create and edit scripts to direct the robots yourself!