PF Credit, powered by Purple Fabric, is an AI-powered digital lending offering which helps banks and institutions to reimagine their lending operations. It provides a modular, open, domain-rich set of digital experts across the credit lifecycle — from origination, underwriting, servicing, operations, to collections. PF Credit can be integrated into your existing Loan Origination System (LOS), Loan Management System (LMS), or Collections solution as a standalone offering. Alternatively, the offering can be bundled with our existing comprehensive lending platform – eMACH.ai Lending, for an end-to-end digital credit transformation.

AI in lending refers to using artificial intelligence / machine learning / large language models (LLMs) to automate, enhance, and optimize lending operations across the credit lifecycle such as document extraction, risk scoring, decisioning, servicing, customer communication, and collections. PF Credit uses AI-powered digital experts for each part of the lending lifecycle: e.g. automating unstructured data extraction, pre-underwriter checks, risk analysis, multilingual assistance, early warning signals, etc. This enables faster onboarding, lower NPA risk, smarter collections, and generally a more efficient and customer-friendly lending experience.

A robust digital lending solution helps institutions by:

• Speeding up loan origination and decisioning (onboarding times reduced, first-time-right applications)
• Reducing operational costs via automation, better servicing, and reducing manual effort
• Lowering risk of NPA (non-performing assets) via better risk assessment, early warning signals, deviation management
• Improving customer experience (faster responses, fewer errors, more self-service)
• Increasing agent productivity and recovery / collections effectiveness

PF Credit is built to deliver quantifiable benefits like 10x faster onboarding, ~30% lower NPA risk, 30% reduction in ops cost, 20% Improvement in Recovery Rates to name a few.

An AI-First Lending approach embeds AI / ML / LLMs at the core of the lending lifecycle, not just as add-ons. Rather than doing manual or rule-based steps and then automating bits, it starts with designing workflows assuming AI assistance, digital experts, automated decisioning, and continuous learning. In PF Credit, AI is embedded in features like document extraction, risk assessment, conversational guidance, early warning signals, etc. So the platform doesn’t just digitize, but intelligently optimizes the process end-to-end.

Yes. PF Credit is designed to support both an integration approach and a full-stack platform approach. You can plug PF Credit’s digital experts into your existing LOS/LMS/Collections systems, benefiting from the AI-power in origination, underwriting, servicing, and collections, without affecting the existing lending processes. Or you can opt for the full eMACH.ai Lending platform bundled with our existing comprehensive lending platform for an end-to-end digital credit transformation.

Some of the key quantifiable benefits include:

• 10X Faster Onboarding with Loan Origination Digital Expert
• 30% Lower NPA Risk with Credit Sanction Digital Expert
• 80%+ Autonomous Resolution with Loan Customer Servicing Digital Expert
• 30% Cost Reduction with Loan Operations Management Digital Expert
• 20% Improved Recovery Rates with Delinquency Management Digital Expert

PF Credit includes mechanisms for explainable underwriting / decisioning so that credit officers and risk teams understand the drivers of any AI-based decision. Deviations are managed via alerting and human oversight. We also follow best practices for data governance, model validation, fairness checks, and responsible AI deployment. Because financial institutions are increasingly being required by regulation to provide reasons when credit is denied (or under certain conditions), explainability and oversight are built in.

In the context of PF Credit / an AI-Powered Digital Lending offering, AI in banking improves borrower experience by:

• Drastically reduce loan onboarding time and eliminate manual data entry errors through automating unstructured data sourcing, pre-underwriter checks, and conversational guidance for a seamless, first-time-right (FTR) experience for customers and relationship managers
• Accelerate credit decisioning and reduce NPA risk with AI-driven comprehensive risk assessments, contextual data analysis, and deviation management, enabling faster, more accurate decisions
• Cut servicing costs and improve customer satisfaction by resolving customer queries autonomously through assistance, allowing banks to reduce call center traffic and branch footfalls
• Drive operational efficiency and proactively manage risk by automating routine tasks, early warning signals, and providing a real-time portfolio scanner
• Boost debt recovery rates and enhance agent productivity through intelligent allocation of cases and provides a multilingual, context-aware communicator

Some common challenges are difficulty of integration with the legacy systems, risk of biased AI, regulatory and compliance requirements, user/adoption resistance & maintaining security at an enterprise level. PF Credit addresses these by offering open integration, modular digital experts so you can adopt in phases, built-in explainability and oversight, multilingual, domain-aware assistants; real-time portfolio scanning / early warnings; and helping banks transition to more AI-First lending with minimal disruption.