Finance

The Role of AI in Enhancing Credit Scoring Models

Published

1 year ago

November 19, 2024

Harry Williams

Reviewed
By Mike steven

Artificial intelligence (AI) is making profound changes across various industries, and credit scoring is no exception. Traditional credit scoring models, often based on limited data and rigid formulas, have been criticized for being inflexible and sometimes inaccurate in assessing credit risk. By using machine learning algorithms and data-driven insights, AI credit scoring models can offer a more dynamic, fair, and accurate way to assess creditworthiness.

This article explores the key role AI plays in transforming credit scoring models. We will examine how AI-driven models differ from traditional ones, the advantages AI brings, and some challenges that come with integrating AI into credit scoring systems.

Understanding Traditional Credit Scoring Models

Traditional credit scoring models rely on fixed algorithms that assess creditworthiness based on factors such as:

Payment history
Amount of debt
Length of credit history
Types of credit accounts
Recent credit inquiries

While these factors can indicate an individual’s credit risk, they are limited in scope. Often, these models fail to consider alternative data, such as income changes, employment history, and behavioral patterns, which may provide a fuller picture of creditworthiness. As a result, individuals who lack a credit history or have unique financial situations may face difficulty obtaining fair credit scores.

How AI Credit Scoring Models Work

AI-driven credit scoring models use machine learning (ML) algorithms to process and analyze a broader array of data. These models not only rely on traditional credit factors but can also evaluate alternative data, such as:

Social media activity
Education level
Spending patterns
Employment and income history

Machine learning algorithms can identify patterns in this data, enabling more accurate and nuanced credit scores. AI models continuously learn and adjust based on new data, which allows them to provide more adaptive and timely assessments.

Key Benefits of AI Credit Scoring Models

1. Increased Accuracy and Precision

One of the primary benefits of AI credit scoring is the ability to assess risk with greater precision. By incorporating various data sources and analyzing complex relationships, AI models can reduce the likelihood of errors and provide more reliable scores.

2. Enhanced Fairness and Reduced Bias

This image is taken from google .com

Traditional credit scoring models have often been criticized for biases that exclude certain groups, particularly those without extensive credit histories. AI credit scoring models, by leveraging alternative data, can create a more equitable system that assesses borrowers more fairly, particularly those with unconventional financial backgrounds.

3. Faster Decision-Making

AI-powered systems can analyze vast amounts of data in real time, enabling quicker decision-making. For financial institutions, this speed means they can assess credit applications more rapidly, reducing processing times and improving customer satisfaction.

4. Improved Predictive Power

Machine learning algorithms in AI credit scoring systems can analyze historical data trends to improve future predictions. This ability to forecast risk more effectively allows lenders to make more informed lending decisions, reducing the likelihood of defaults.

5. Cost Efficiency for Financial Institutions

AI credit scoring models can be more cost-effective by automating many aspects of the credit assessment process. By minimizing manual reviews and reducing the time required to assess applications, financial institutions can cut costs while still ensuring a high level of precision.

Challenges and Concerns in Implementing AI Credit Scoring Models

1. Data Privacy and Security

The reliance on personal data poses privacy risks, and improper handling of this data could lead to security breaches. Financial institutions need to adhere to stringent regulations to ensure data is kept secure.

2. Risk of Algorithmic Bias

While AI can reduce certain biases, it is not immune to creating new biases if the algorithms are not carefully monitored and tested. Ensuring that AI models are fair and unbiased remains a critical responsibility for developers and institutions.

3. Regulatory and Compliance Challenges

The regulatory landscape around AI in credit scoring is still developing, which means that institutions must navigate a complex and evolving environment to remain compliant with local and international laws.

4. Complexity in Implementation

The integration of AI credit scoring requires technical expertise and substantial resources, which can be a barrier for smaller institutions. Implementing these models involves upfront investment in technology, staff training, and data infrastructure.

Comparative Analysis: AI Credit Scoring Models vs. Traditional Credit Scoring Models

Criteria	Traditional Credit Scoring Models	AI Credit Scoring Models
Data Sources	Limited to financial history	Uses alternative data, including social and behavioral factors
Bias and Fairness	Higher likelihood of bias	Reduced bias due to diverse data sources
Accuracy	Moderate	Higher accuracy with complex data analysis
Adaptability	Static	Dynamic and adaptable
Decision Speed	Slower	Faster
Cost Efficiency	Moderate	More cost-effective due to automation

Case Study Analysis: AI in Credit Scoring

To highlight the practical impact of AI in credit scoring, let’s explore a case study of Company X, a mid-sized financial institution that implemented AI credit scoring.

Background

Company X aimed to improve its lending process to reduce biases and speed up decision-making. Traditional models led to inconsistent outcomes, particularly for applicants with unconventional financial histories.

Implementation

Company X adopted an AI-driven credit scoring model that integrated alternative data sources, such as employment history and spending patterns. They used machine learning algorithms to develop predictive scores based on this data.

Results

Within a year of adopting AI credit scoring:

The approval rate increased by 15%.
Loan default rates decreased by 10%.
Decision-making time was reduced by 30%.

This case demonstrates how AI credit scoring can provide a fairer, faster, and more accurate assessment of creditworthiness, benefiting both the financial institution and borrowers.

Future of AI in Credit Scoring

As AI continues to evolve, its role in credit scoring is likely to expand. Key areas for growth and innovation include:

Integration with Blockchain: Blockchain technology could enhance data security and transparency in AI credit scoring systems.
Enhanced Interpretability: Future AI models may include tools that make it easier to understand how credit scores are calculated, helping users better understand their creditworthiness.
Continuous Learning Models: AI models with real-time learning capabilities could provide even more accurate and dynamic credit scoring, adapting to economic changes and individual behaviors.

In the years to come, we can expect AI to play an increasingly significant role in reshaping the credit industry, promoting fairer lending practices and more personalized credit assessments.

Analysis Table of Key Benefits and Challenges of AI Credit Scoring Models

Benefits	Challenges
Increased Accuracy and Precision	Data Privacy and Security Risks
Enhanced Fairness and Reduced Bias	Risk of Algorithmic Bias
Faster Decision-Making	Regulatory and Compliance Hurdles
Improved Predictive Power	Complexity in Implementation
Cost Efficiency	–

Conclusion

AI credit scoring is revolutionizing how creditworthiness is assessed by introducing greater accuracy, fairness, and adaptability. Traditional credit scoring models, while effective in many cases, are limited in scope and often fail to provide an equitable assessment. AI-driven models address these limitations, providing a richer, more holistic view of a borrower’s financial health. Despite some challenges, including data privacy and regulatory concerns, the benefits of AI in credit scoring are vast, and the future holds much promise for further advancements in this field.

Author

Harry Williams

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Business

RBI Gold Loan Guidelines 2025: What Borrowers Must Know

Published

4 days ago

November 21, 2025

ishasingh1699

Reviewed
By Elena Avery

Introduction

Gold Loans continue to be one of the most accessible credit options in India. With their quick processing and security-backed nature, they’ve helped millions manage short-term financial needs. In 2025, the Reserve Bank of India (RBI) introduced a revised set of Gold Loan guidelines to improve transparency, borrower protection, and uniformity in lending practices. These updates are particularly relevant for anyone considering a Gold Loan, whether for personal emergencies, minor business requirements, or planned expenses.

Understanding RBI’s Tiered LTV Policy

RBI now follows a tiered loan-to-value (LTV) ratio based on the total loan amount. The LTV ratio indicates the percentage of the gold’s value that can be sanctioned as a loan. As per the latest framework:

Loans up to ₹2.5 Lakh: Maximum LTV capped at 85%
Loans between ₹2.5–₹5 Lakh: Maximum LTV capped at 80%
Loans above ₹5 Lakh: LTV restricted to 75%

This change encourages responsible lending and ensures that smaller borrowers can access slightly higher loan amounts relative to the value of gold pledged.

Assessment of Borrower Creditworthiness

While smaller loans up to ₹2.5 Lakh may be offered without detailed credit appraisals, any loan amount exceeding this threshold requires a thorough credit assessment of the borrower’s repayment capacity. This step protects financial institutions and borrowers alike by aligning loan disbursements with the borrower’s ability to repay. Loan renewals or top-up loans can only be sanctioned following such credit assessments and must remain within permissible LTV limits. Bullet repayment loans may only be renewed after accrued interest has been paid.

Valuation and Purity Checks

RBI mandates a standardised process for assaying the gold pledged as collateral. The valuation of the pledged metal must be based solely on its intrinsic value without including stones, gems, or other embellishments. The price used to assess the value of the collateral should reflect its actual purity (caratage). This value must be based on the lower of either the average closing price over the past 30 days or the closing price from the previous day. These prices should be sourced from either the India Bullion and Jewellers Association Ltd. (IBJA) or a commodity exchange regulated by the Securities and Exchange Board of India (SEBI).

If prices for a specific purity are unavailable, valuation should be adjusted proportionately based on the nearest available purity. The assaying procedure and valuation methodology must be consistent across all branches of a lender, and borrowers must be present during assaying. Deductions related to non-metallic components, such as stones or lac, should be explained and documented in a certificate issued to the borrower. The lender is required to issue this certificate in duplicate, one for its records and one for the borrower’s acknowledgement.

Ownership Documentation and Anti-Money Laundering Measures

Lenders are required to ascertain that the ownership of the pledged collateral is not doubtful. Where ownership documents such as purchase bills are unavailable, lenders should obtain a declaration from the borrower affirming rightful ownership. Further, multiple or frequent loans granted to a single borrower aggregating beyond a certain threshold must be closely monitored under anti-money laundering (AML) regulations to prevent misuse or fraud.

Restrictions on Collateral Use and Loan Tenure

The RBI prohibits lending against primary gold, such as financial assets backed by gold ETFs or mutual funds. Collateral that has been pledged to a lender must not be repledged or used to secure loans from other institutions. Additionally, the tenure of consumption loans structured as bullet repayments is capped at 12 months, though renewals are permissible by appropriate regulations.

Collateral Limits for Ornaments and Coins

To mitigate risks linked to collateral management, the maximum aggregate weight of gold ornaments pledged by a borrower should not exceed 1 kilogram. Similarly, limits apply to coins: 50 grams for gold coins.

Settlement, Auction Procedures, and Borrower Protection

Upon full repayment or settlement, lenders must release the pledged collateral within seven working days immediate release on the same day is encouraged wherever possible. Before auctioning pledged items due to non-repayment, lenders are required to notify borrowers or legal heirs, allowing a reasonable time for settlement. Auctions must be conducted transparently with adequate public notice, including advertisements in a regional language newspaper and a national daily. The collateral’s reserve price at auction must not fall below 90% of its current value, except after two failed auctions, where it may be reduced to 85%.

In instances of collateral loss, damage, or discrepancies observed during audits or returns, lenders are mandated to compensate borrowers or their legal heirs promptly. Moreover, if collateral release is delayed due to the lender’s reasons, compensation at the rate of ₹5,000 per day of delay must be made.

Lender Obligations and Disclosure

Loan agreements must comprehensively describe collateral, auction procedures, borrower rights for settlement, timelines for releasing collateral, and applicable charges related to assaying or auctioning. Communication must be provided in the borrower’s regional or preferred language. Lenders must also maintain proper infrastructure and security protocols to store collateral safely and restrict handling to authorised personnel. Periodic internal audits, surprise verification of pledged items, and regular reporting to supervisory boards on unclaimed collateral are essential components of compliance.

Ensuring Borrowers Benefit from Competitive Gold Loan Rates

For borrowers, obtaining the lowest Gold Loan rate requires careful attention to lender policies, transparency in valuation, and adherence to prescribed limits. A practical approach includes using an interest calculator for a Gold Loan to estimate monthly repayments and total interest payable based on the loan amount, LTV ratio, and tenure. This tool helps borrowers compare offers across lenders and choose the most economical option while ensuring loan terms comply with RBI regulations.

Conclusion

The RBI’s updated gold loan guidelines for 2025 contribute to a regulated, transparent, and secure credit system for pledged gold collateral. By setting clear limits on LTV ratios, collateral valuation, borrower assessment, equitable auction processes, and borrower protection measures. The Reserve Bank promotes trust and stability in gold-backed lending. Borrowers are advised to understand these provisions fully and utilise tools such as the interest calculator for a Gold Loan to make prudent borrowing decisions. Adhering to the RBI’s framework will help borrowers secure the lowest Gold Loan rate while protecting their interests throughout the loan lifecycle.

Author

ishasingh1699

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Finance

FAQs List of Coinbase Support SERVICE (24/7 Talk)

Published

5 days ago

November 21, 2025

coinbasetollfree

Reviewed
By Lucy Coll

Coinbase-Customer-Service-Support-by-Phone-1858-765-8486

Introduction

In the event that one encounters difficulties with their Coinbase account be it transactional anomalies, access impediments, or concerns regarding digital security it becomes imperative to ascertain the proper channels through which support may be expeditiously solicited. Coinbase affords users a multiplicity of remedial avenues, encompassing a continuous, 24-hour telephonic assistance service.

A recurrent query among users pertains to the operational mechanics of this support, the optimal junctures for engagement, and the anticipated procedural outcomes. This compendium of frequently asked questions endeavors to furnish lucid elucidations to the most prevalent inquiries surrounding Coinbase’s customer service apparatus. Regardless of whether one is a neophyte to the cryptographic domain or a seasoned practitioner, this guide is designed to facilitate the acquisition of assistance with both alacrity and security.

Frequently Asked Questions (FAQs) About Coinbase Support Service (24/7 Talk)

Q1. What Is Coinbase’s 24/7 Talk Support?

Coinbase’s 24/7 talk support allows users to call a support agent at any time, day or night. This means if you have trouble with your account, a payment, or need help with security, you can reach a live person who can guide you through the issue. This service is useful for urgent matters that cannot wait for email or chat replies.

Q2. How Do I Reach Coinbase Support by Phone?

To call Coinbase support, you usually go through the Help Center on the Cryptocurrency exchange

website. There, you may find an option to “Request a Call” if phone support is available for your account and region. Once you click that, Coinbase arranges a support agent to call you back. This method ensures you are reaching the real support team and not giving your number to a random person.

Q3. Is the Coinbase 24/7 Number the Same for Everyone?

No, it may not be the same for every user. The number or call-back method you get depends on:

Your geographic location
Your account type (regular user, Coinbase Pro, Coinbase One)
The type of issue you raise
Because of this, Cryptocurrency exchange often uses dynamic call‑back options rather than listing a single global number for all users.

Q4. Is There a Direct Public Phone Number Listed for Coinbase 24/7 Support?

Coinbase no longer widely publishes a fixed public phone number for all customer service calls. Instead, it prefers users to go through its Help Center to request a call. This helps reduce fraud risk and ensures users connect with genuine support agents. Be careful of unofficial numbers circulating online, as they may be scams.

Q5. How Do I Request a Support Call Back From Coinbase?

To request a call back:

Go to Coinbase Help Center while logged into your account.
Find the category that matches your problem (for example, account issues, security, transactions).
Click on “Contact Us” or “Get Help.”
Select “Request a Call” if available for your issue.
Provide your phone number and submit the request.

Coinbase support will then call you back, usually within a short time.

Q6. Do I Need to Pay for Coinbase 24/7 Support Calls?

No, Coinbase does not charge users for support calls. The call-back service is part of its customer support, and legitimate calls from Coinbase support agents are free. But you should always make sure you are calling or receiving calls from the correct source to avoid fraudulent calls that may try to scam you.

Q7. What Kind of Issues Can Be Handled Over a 24/7 Call?

You can get help for many different issues:

Account access or login problems
Identity verification or KYC issues
Payment or deposit problems
Withdrawal delays or errors
Security concerns, like 2FA or phishing
Transaction status checks
Any urgent or complicated issue that needs live assistance

Some very technical questions might be escalated, but a 24/7 agent can help guide you or pass the case on as needed.

Q8. Is 24/7 Support Available for All Coinbase Users?

Not necessarily. While Coinbase does offer 24/7 support in many places, it depends on:

Your country or region
Your user level (some features may be limited for free or new accounts)
The type of support plan you have (for example, Coinbase One or premium users may get faster service)

Always check in the Help Center to confirm whether 24/7 call-back is offered for your account.

Q9. How Can I Prepare Before the Support Call?

Preparing well can make the call faster and more effective. Here are some tips:

Write down your issue clearly (what happened, when, and how)
Have your Coinbase-registered email or phone ready
Note any transaction IDs, transaction dates, or screenshots if you can
Keep your device nearby in case you need to log in or share information
Never share your password, private keys, or one-time codes

Being ready helps you get a helpful response faster.

Q10. How Long Does It Usually Take for the Support Agent to Call Back?

The wait time for a callback can vary based on how many users are asking for help, where you are, and what kind of problem you have. In many cases, you may get a return call within minutes or up to a few hours. For urgent or high-severity cases, the response tends to be faster.

Q11. What Should I Do If the Agent Asks for My Password or Private Key?

You should never share sensitive data like your password, private keys, or wallet seed phrase. Real Coinbase support agents will never ask for this kind of personal or security information. If anyone asks for these details, it is a red flag for fraud. Politely end the call and report the number or incident to Coinbase directly via their official help portal.

Q12. Can I Use 24/7 Support for Fraud or Scam Reports?

Yes. If you believe you are being targeted by a scam or if your account has been compromised, contacting Coinbase support via the call-back option is one of the best steps to take. A support agent can help you secure your account, pause transactions, or escalate the matter to Coinbase’s security team.

Conclusion

Coinbase’s 24/7 talk support is a vital lifeline for users who need help with urgent account issues, security concerns, or transaction problems. By understanding how the call-back system works, preparing in advance, and recognizing genuine agents, you can get the help you need quickly and safely. Remember never to share passwords or private keys, and always use Coinbase’s official Help Center to start the support process. With the right approach, you can navigate issues with confidence and make full use of Coinbase’s round‑the‑clock service.

Author

coinbasetollfree

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Finance

Full List of Coinbase Help Desk Number USA Numbers

Published

5 days ago

November 21, 2025

coinbasetollfree

Reviewed
By Mila Parker

Introduction

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