Integrate your customer data and other sources into AACER for a broader perspective around your debtors’ bankruptcy cases.
Bankruptcy operations teams are always looking for ways to minimize financial risk and optimize default execution. It is critical to know when your debtors file bankruptcy and receive complete, accurate and timely case information to better manage your process.
Bankruptcy operations stakeholders may include management, servicing, processors, analysts, specialists, quality assurance, and other company or outsourced departments, all looking to effectively navigate complex bankruptcy regulations and processes.
AACER helps bankruptcy operations improve default processes by daily identifying new filers in your portfolio, monitoring and managing all key changes to bankruptcy cases, and automating document creation. AACER also integrates customer data with case filing information to provide a more complete view of cases, directly linking systems of record to AACER via APIs in order to eliminate manual work and accelerate operations.
Early notification of a debtor bankruptcy filings allow you to identify your risks and remain compliant with all legal regulations regarding the management and collection of debt extended. AACER helps you determine if you’ve found all of your at-risk debtors by leveraging our proprietary 80-point confidence score. AACER leads the market with highly tuned proprietary technology to find even the most challenging matches.
Bankruptcy operations teams never miss a key date or case event that could impact your ability to maximize your debtors’ bankruptcy outcomes. AACER docket and claims monitoring searches all bankruptcy cases every night, separates the relevant information from the noise, and provides only new, key docket changes and documents necessary to manage your debtor portfolio.
Bankruptcy operations teams need world-class information to monitor new filing trends and analytics to appropriately prepare and scale their execution teams. Customers leverage AACER’s new filing data, active and inactive case data and historic trend information to better predict activity and risk levels for their companies.