In an era of unprecedented technological evolution, the insurance sector is undergoing profound changes as traditional norms are challenged and transformed by rapid digital advancements. Our Gen AI Orchestrator- JIVA is transforming the industry and ushering in a new era of growth and customer-centric services. At JK Tech, we embrace the future of the insurance industry through our strategic partnership with Google Cloud and provide dedicated implementation and support for sustainable, scalable, and secure cloud solutions. Our offerings ensure that your P&C insurance business remains nimble, flexible, and innovative in a fast-paced environment and delivers exceptional added value to your clients.
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Persona-based use cases specific to Insurance
CUSTOMER SERVICE REPRESENTATIVE
Customer query or issue resolution requires unstructured data (e.g. policy documents, insurance regulation/mandates, emails, etc.) and structured data (e.g. customer profile, customer ticket, claim information, etc.) to effectively and expeditiously resolve customer queries.
CLAIMS ADJUSTER
Claims adjuster requires unstructured data (e.g. customer statement, accident report, images, etc.) structured data (e.g. customer profile, policy information, etc.) to determine fault, claim authenticity, and damage assessment for a claim faster and more accurately.
POLICY UNDERWRITER
The underwriter requires unstructured data (e.g. appraisal reports, adjuster notes, etc.) and structured data (e.g. claims history, customer profile, etc.) to determine risk factors associated with onboarding a customer and adjusting the premiums according to risk faster and more accurately.
FIELD AJUSTER
The Field Adjuster requires unstructured (e.g. claim adjuster notes, policy documents, emails, and correspondence, etc.) and structured data (e.g. claims data such as loss details) to conduct on-site inspection of involved assets and generate damage assessment reports.
COMPLIANCE OFFICER
In regulatory reporting bringing unstructured data (e.g. regulatory forms, policy documents, state regulatory guidelines, etc.) and structured data (e.g. claims data, policy data, transactions data, etc.) can significantly reduce the cost and risk of non-compliance.
FRAUD INVESTIGATOR
A fraud investigator requires unstructured data (e.g. adjuster notes, images, CCTV footage, emails, etc.) and structured data (e.g. claims data, policy data, claim history) to investigate and determine potential fraud cases.
