Gain greater access to high quality document data in order to increase the information available for analytics in the decision making process - reducing the growing underwriting risk.
Adlib document conversion, best of breed OCR and intelligent information removal, allow for a clean set of quality data to be delivered for big data analytics processing – surfacing valuable insights, improving decision making, reducing risk, producing financial savings and increasing overall automation.
Automate the onboarding of new customer policies to improve operational efficiencies and deliver the enhanced digital experience that is expected by the modern-day customer.
Integration with input sources including email and automating the extraction of key customer data such as policy numbers, agent numbers, effective policy dates and policy premiums. Eliminate manual intervention and deliver quality data needed to fuel the automation of new policy business process - do more with less.
Electronic claims processing relies on significant manual intervention by full time employees – negating the actual reduction in claims resolution times.
Adlib digital capture, high quality conversion and publishing combine to deliver key process automation – reducing points of friction in the customer claims journey and accelerating decision making to restore customers lives as quickly as possible, in that moment of truth.
Recovery and Resolution Planning (SR 14-1) compliance demanded that the terms and commitments within contracts were analyzed and extracted to ensure risks can be identified and managed to prevent negative impact on financial systems.
Adlib transformed contracts into a collection of searchable digital assets, intelligently analyzed and extracted key data from the content regardless of the format or location then classified contracts by type/region/party to ensure they could be easily found on-demand to meet internal and FDIC requirements.
Incorporate an automated PDF rendering capability with high-fidelity output into Allstate's workflow that would meet priority rendering and integration requirements.
Adlib’s PDF rendering integrated seamlessly into claims processing workflow, was transparent to all users, and avoided hassles with native file formats and application upgrades. Rendering throughput and performance today meets the daily needs of 1,200 claims users.
Looking for a solution to reduce multiple environments and use a single management touch point to render emails to high-fidelity PDF. Aviva wanted to move away from Captiva (current solution) and use an advanced OCR technology.
Adlib enabled Aviva to render emails including the header, footer, subject with small file sizes and handle a large volume: 4500 pages/week, 1500 emails/day. Single point of management with high availability/failover. Moving onto other use areas such as litigation, maintenance. Integration with IBM FileNet.
Various content types including Rollover Insurance Declarations, Inspection Reports often arrived as non-searchable email attachments. Delays and inaccuracies due to manual validation processes created a negative customer experience.
Used Adlib’s Classification and Extraction to analyze and surface data from various documents. Automation enabled finding, extracting, and validating data against internal systems, which accelerated turn-around times and improved customer experience. They were also able to detect anomalies in the content to be routed for manual review.