Intelligent Decisioning Waterfall - SMB Loan/Line

In order for the Amount's Intelligent Decisioning Waterfall to have maximum impact, the applicant's data is collected along the applicant's journey. Along that applicant journey Amount will leverage ThreatMetrix to ensure device compliance, Smarty to prefill and validate address information, and Prove to prefill Name, Address, & Social Security Number based upon the applicant simply filling in the mobile number.

Additionally, Amount supports secured lending and the collection of collateral, where data is gathered and supporting documentation verified related to the applicant's assets that serve as security for a loan. This ensures that the lender has a legally enforceable claim over the collateral in case of applicant default.

Once an applicant selects a secured product, they are presented with Use of Funds, and then estimated value of the asset may be presented with Collateral Types, and Collateral Information

Eligibility rules are run before a credit report is pulled. The rules will be run from top to bottom and the order will be used to prioritize which decline reasons are displayed in the adverse action template.

Third party reports are pulled, then rules are executed automatically from top to bottom based upon product configuration. Configuration options include hard declines with automated notice of adverse action (NOAA) templated communications or soft declines requiring manual review; various thresholds are also self-configurable for each rule.

After the Experian Small Business Financial Exchange (SBFE) credit report is pulled, decline rules are run using the report. The rules will be run from top to bottom and the order will be used to prioritize which decline reasons are displayed in the adverse action template.

The same Post Credit Consumer Rules executed for the primary applicant apply here as well. Third party reports are pulled, then rules are executed automatically from top to bottom based upon product configuration. Configuration options include hard declines with automated notice of adverse action (NOAA) templated communications or soft declines requiring manual review; various thresholds are also self-configurable for each rule.

Amount uses a concept of "decisioned guarantor" for the SBFE blended report and is only run for one applicant. There is a check to see which applicant has the highest ownership stake and then the policy is run for that applicant. If there is an ownership tie at the highest level, then the policy is run for the applicant with the highest credit score. If it's still a tie, then it's only run for the primary applicant.

These are the configurable rules to determine whether an applicant should have business cash flow verified. If an applicant triggers any of the rules configured "on," they will be required to verify business cash flow.

This step is only necessary if the applicant selects a secured lending product. Documents are requested related to the applicant's assets that serve as security for the loan.

The Amount platform facilitates validation and verification of an applicant's account information using a combination of third party data-driven, applicant-driven, and agent-driven workflows. Default configurations prioritize lowest-friction options first in order to increase applicant approval rate and reduce reliance on manual document reconciliation as an account verification technique.

These Know Your Business (KYB) selections dictate the policy which applying businesses are screened against as a control for business verifications leveraging LexisNexis Business Instant ID (BIID) & TINCheck. Applicants may be required to re-key data or upload tax returns, business form documents, or a government-issued business license. For Secretary of State Verification a good standing certificate may be required for upload.

By default, the Amount platform will perform Know Your Customer (KYC) / Customer Identification Program (CIP) checks for four points of Personally Identifiable Information (PII) provided by the applicant against the same data points within the credit report. In the event of a data mismatch, the applicant is prompted with a series of dynamic tasks prior to the display of any rates and terms.

Amount uses the applicant's credit bureau report to identify if applicants have any consumer fraud alerts in their credit report. If an applicant has an initial fraud, extended fraud, or active duty fraud alert in their bureau file, the application will be pending. System controls prevent the application from being approved until the alert is reconciled.

We have leveraged over a decade of experience as a direct lender to craft a fraud and identity verification solution. We have curated the best data sources available, targeting all aspects of an applicant's identity, including device, email, phone, address, bank account and velocity attributes. The Amount platform uses a proprietary machine learning-developed hard fraud model to assess applicants' fraud risk. This fraud model returns a simple score predicting the likelihood that a given application is fraudulent. This score, in addition to attributes from the below data sources, will be used to construct fraud rules resulting in enhanced identity verification challenges and/or manual fraud reviews.

Amount has partnered with ComplyAdvantage to screen applicants against the OFAC (Office of Foreign Assets Control) - SDN (Specially Designated Nationals and Blocked Persons) sanctions list. Applicants flagged as possible hits pending until an AML (Anti-Money Laundering) / BSA (Bank Secrecy Act) investigator reviews the application for risk and either rejects the application or resolves a task as a condition of approval.

Any application that has been soft declined because it did not pass a step in Amount's Intelligent Decisioning Waterfall or requires additional manual review is presented to authorized Financial Institution agents (Underwriter, Operations, Compliance, Member/Customer Support, Credit Risk, and/or Fraud Prevention) for decisioning. Authorized agents can also leverage Amount's AI Policy Optimizer and Rule Builder to make adjustments to policies where appropriate.