Jicate for Insurance

AIP extracts relevant data attributes from thousands of structured and unstructured sources, including PDFs, emails, Excel spreadsheets, audio calls, and more.

Extracted submissions data is compared against numerous sources of information including historical performance data, similar cases, and predefined underwriting guidelines set by your organization, to inform accurate and compliant underwriting decisions.

AIP integrates bi-directionally with existing actuarial models, pricing raters, and reserving engines to provide proposed premium and reserve amounts.

AIP enables underwriters to generate suggested responses to brokers and agents based on a combination of automated flags generated and human-in-the-loop interventions.

All actions taken by the user and by AI Agents are written back and recorded in AIP, ensuring traceability into the decision lineage.

All sources of structured and unstructured information as part of the first notification of loss (FNOL) are centralized and integrated together — emails, call recordings, images, etc.

AIP leverages multimodal AI to automatically assess incoming claims against pre-defined and customizable coverage conditions, ensuring a rapid and accurate determination of coverage eligibility.

For each incoming claim that needs assessment, a dynamic routing instruction matches each claim with the best claims assessment human or channel to minimize cost of review and complexity.

AI Agents handle the claims that pass all appropriate coverage checks and perform direct integration with payout systems for immediate payout — encouraging customer satisfaction and retention.

Surfacing trends across cohorts of the business to identify growing unexpected losses, perform actuals-vs-expected experience studies, and continuously update reserving and IBNR estimations.

AIP puts guardrails in place to assure the AI is not permitted to prevent the payout of a claim without satisfying human-enforced rules and human confirmation of its determinations.

Integrate structured and unstructured data from internal, external, and open sources to create a holistic customer record, augmented with AI and model-driven data enrichments.

Provide AI recommendations for marketing campaigns, propensity-to-purchase, propensity-to-bind, cross-sell, and up-sell across the customer base.

AIP transcribes and intelligently extracts information from live phone calls, with support for 50+ languages for use during customer interactions.

During live interactions, AIP automatically suggests follow-up questions for claim handlers and call-center employees to aid in accurate information capture and a first-class customer experience.

AIP generates a summary of the phone call in a comprehensive, easy-to-read format, and suggests next best actions for the claims handler based on data from the interaction.