1. Very easy to trial, no bank IT effort -> transmit anonymized data, we return results
2. Outcome-based selling -> we hit the KPIs for trial success -> guarantees bank ROI
3. Consolidate diverse feeds into one portal for ready consumption by underwriters
4. Cost reduction of about 10-15% for underwriters by automation
5. Use Government registration as a gating factor to filter away undesirable applicants to avoid expensive downstream underwriting
6. Faster onboarding of vendors – thin-file candidates – for payment platforms
7. Reduced customer acquisition cost by 15-20% by pruning the applicants from digital marketing campaigns. Targeted marketing for business solicitation
8. Better assessment of risk for loans - additional data to augment the financials. Reduced default rate by 5-15%. It augments, not replaces, the existing risk assessment process
9. Increase top-line growth - approve loan to those in the gray zone (barely declined) based on the strength of Internet data
10. Self-calibrating FRP becomes better at identifying defaulters with feedback
11. Compliance and regulation - transparency of decisioning. Information elements reported – government registration and risk analytics, for instance – pass the requirements of adverse action, have no bias
12. Monitoring the loan for its life cycle for proactive alerts about risk exposure

How does a bank assess the credit risk for the SME? The financials alone don’t reflect the event that occurred for the business. It is the Internet which captures this leading-indicator information. But the Internet is a noisy medium. FRP uses its superior Natural Language Processing (NLP) technology to mine the Internet carefully, avoids spams and frivolous information, and extracts leading-indicator credit risk information for the SME. The banks use FRP to assess credit risk accurately. Financial Risk Profiler (FRP) mines alternate, web data for credit risk information by extracting relevant data and building a credit risk profile by leveraging world famous Amelia's NLP capabilities.

AI/Natural Language Processing – mines the Internet

1. Operates in Near Real-Time
2. Cloud-based subscription pricing on a per data pull – pay only as much as you use
3. Easy to trial. A web portal with minimum input – business name, postal code
4. Easy to implement with JSON APIs and connectors to your legacy systems; no need to replace current systems or processes
5. Transparent prediction of loan outcome – reports data from the Internet as evidence to justify its prediction
6. Augments, not replaces, your existing credit decision process

The solution can be deployed on Cloud or On-Prem. Depending on the modules being Implemented, we can recommend resource requirements.