Give customers and regulators the consistency, flexibility, and transparency they demand with intelligent data guidance.
ChallengeRecovery 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.
SolutionAdlib 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.
ChallengeGain 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.
SolutionAdlib 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.
ChallengeAutomate the onboarding of new customer policies to improve operational efficiencies and deliver the enhanced digital experience that is expected by the modern-day customer.
SolutionIntegration 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.
ChallengeElectronic claims processing relies on significant manual intervention by full time employees – negating the actual reduction in claims resolution times.
SolutionAdlib 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.
ChallengePwC needed a way to understand their contract landscape easily and efficiently so they could determine how and why individuals used customer data. PwC wanted visibility into their complete contract landscape, ability to quickly review contracts, and reduce their overall risk threshold.
SolutionAdlib’s Contract Analytics platform streamlined documentation, limited liability, and gave the PwC team visibility into contracts, trends, and behaviors. Adlib’s powerful AI platform identified 14 different types of documents, which was consolidate down to just a few based on deal type and size. Once the team performed contract analysis on every contract throughout multiple repositories, they mapped the differences between them, calling out risk potential and variations in clauses.
