Services · Agentic AI Credit Assessment Model
AI Loan Risk System
The model combines AI-driven workflow automation, a dynamic memory system and conversational models to optimise lending for traditional banks — improving efficiency, reducing risk, enhancing customer engagement and ensuring compliance.
How It Works
Submit Application
Borrowers submit property and financial details through the PropCap platform.
AI-Driven Analysis
Agentic AI uses large language models (LLMs) to cross-check global property databases, credit records, central bank rates and ESG criteria to assess risk.
Conditional Loan Offer
AI generates personalised loan terms based on risk-adjusted returns and compliance checks.
Human Oversight
Agentic AI handles 95% of cases; complex cases are reviewed by underwriters to ensure alignment with strategic goals.
System Architecture
PropCap's Agentic AI architecture centres on an AI Agent that connects multiple data sources and skills, comparing and analysing them to produce a loan offer.
Loan Offer Output
Loan Offer
PropCap AI Agent
Skills Agent
Property Valuation API
PropCap · GET
Central Bank Rates
Bank of England base rate etc. · GET
Compare Datasets
Dataset Comparison
Language Model
Chat Model · OpenAI
Memory System
Dynamic Memory
AI Credit Assessment
Skill · PropCap Assessment Module
Solving Traditional Banking Pain Points
Inefficiency
Traditional credit assessment is slow and subjective. PropCap's model dramatically improves efficiency by automating data collection, KYC verification and loan assessment.
Risk Management
Traditional methods can carry higher default risk. The model reduces risk through precise credit assessment aligned with regulatory goals, analysing loan-to-value, repayment ability and macroeconomic indicators.
Compliance
The model automatically follows anti-money laundering (AML), Basel III and HKMA lending regulations (stress testing) to ensure compliance.
Customer Engagement
Traditional banks may lack instant customer engagement. PropCap's model offers real-time support and loan guidance through chatbots and virtual assistants.
Benefits for Traditional Banks
Greater Efficiency
Loan approval time cut by 70%, improving customer experience and operational efficiency; AI-driven automation also increased processed applications by 40%.
Lower Operating Costs
Automation and streamlined processes help banks lower operating costs.
Stronger Risk Management
Precise credit assessment lowers default risk and improves loan portfolio quality.
Expanding ESG Lending
The model flags sustainable mortgage opportunities, supporting banks' ESG commitments and driving 15% growth in green mortgages.
Regulatory Compliance
The model automatically meets HKMA regulations and connects to bank systems via encrypted APIs for real-time data exchange.
Future Expansion
The model can further explore blockchain-based mortgage tokenisation and advanced predictive analytics.
Scalability
The AI model can be tailored to different jurisdictions, supporting international expansion.
In summary, PropCap's Agentic AI credit assessment model offers traditional banks an innovative solution that optimises the entire lending process by improving efficiency, reducing risk, enhancing customer engagement and ensuring compliance.
FiNETech · Into the A.I.verse
Showcasing the AI Loan Risk System to the Banking Industry
PropCap joined FiNETech #2 – Into the A.I.verse, co-organised by the Hong Kong Monetary Authority (HKMA) and KPMG China, to showcase its AI Loan Risk System to the banking industry with a live demo in Demo Room 2, sharing how Agentic AI credit assessment can optimise traditional bank lending.
The event took place on 13 August 2024 at Cyberport, Hong Kong. PropCap was at booth 10, with its demo at 10:25 am.
Download FiNETech Event Report

Discover the AI Loan Risk System
Contact us to learn how the system can fit your business.