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.
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.
PwC 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.
Adlib’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.
To reduce risk related to file format used by legacy systems, RBS was required by regulators to store mortgage documents in a format that was accessible to customers and bank staff. The documents at risk were accumulated over a 20-year period.
Adlib was installed in a cleanroom at RBS to process approximately 3.5M documents over six weeks, ensuring that all content was faithfully reproduced. An audit capability was configured to demonstrate that all documents were processed and that errors were identified to remediate those documents.