Just a moment...

Top
Help
×

By creating an account you can:

Logo TaxTMI
>
Call Us / Help / Feedback

Contact Us At :

E-mail: [email protected]

Call / WhatsApp at: +91 99117 96707

For more information, Check Contact Us

FAQs :

To know Frequently Asked Questions, Check FAQs

Most Asked Video Tutorials :

For more tutorials, Check Video Tutorials

Submit Feedback/Suggestion :

Email :
Please provide your email address so we can follow up on your feedback.
Category :
Description :
Min 15 characters0/2000
Make Most of Text Search
  1. Checkout this video tutorial: How to search effectively on TaxTMI.
  2. Put words in double quotes for exact word search, eg: "income tax"
  3. Avoid noise words such as : 'and, of, the, a'
  4. Sort by Relevance to get the most relevant document.
  5. Press Enter to add multiple terms/multiple phrases, and then click on Search to Search.
  6. Text Search
  7. The system will try to fetch results that contains ALL your words.
  8. Once you add keywords, you'll see a new 'Search In' filter that makes your results even more precise.
  9. Text Search
Add to...
You have not created any category. Kindly create one to bookmark this item!
Create New Category
Hide
Title :
Description :
❮❮ Hide
Default View
Expand ❯❯
Close ✕
🔎 News - Adv. Search
TEXT SEARCH:

Press 'Enter' to add multiple search terms. Rules for Better Search

Search In:
Main Text + AI Text
  • Main Text
  • Main Text + AI Text
  • AI Text
Category: ?
Categorized by AI
---- All Categories ----
  • ---- All Categories ----
  • Income Tax
  • GST
  • Customs, DGFT & SEZ
  • FEMA & RBI
  • Corp. Laws, SEBI & IBC
  • PMLA, Black Money & ED
  • Budget
  • News and Press Release
  • PTI News
Month:
---- All Months ----
  • ---- All Months ----
  • January
  • February
  • March
  • April
  • May
  • June
  • July
  • August
  • September
  • October
  • November
  • December
Year:
---- All Years ----
  • ---- All Years ----
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
Sort By: ?
In Sort By 'Default', exact matches for text search are shown at the top, followed by the remaining results in their regular order.
RelevanceDefaultDate
    No Records Found
    ❯❯
    MaximizeMaximizeMaximize
    0 / 200
    Expand Note
    Add to Folder

    No Folders have been created

      +

      Are you sure you want to delete "My most important" ?

      NOTE:

      News
      Showing Results for :
      Reset Filters
      Results Found:
      AI TextQuick Glance by AIHeadnote
      Show All SummariesHide All Summaries
      No Records Found

      News

      Back

      All News

      Showing Results for :
      Reset Filters
      Showing
      Records
      ExpandCollapse
        No Records Found

        News

        Back

        All News

        whatsappJoin Channel
        Showing Results for : Reset Filters
        Case ID :
        Corp. Laws, SEBI & IBC

        Union Finance Minister and MoS, Finance launch the New Credit Assessment Model for MSMEs as announced in Union Budget 2024-25

        March 6, 2025

        📋
        Contents
        Note

        Note

        -

        Bookmark

        print

        Print

        Login to TaxTMI
        Verification Pending

        The Email Id has not been verified. Click on the link we have sent on

        Didn't receive the mail? Resend Mail

        Don't have an account? Register Here

        The Model will leverage digitally fetched and verifiable data to devise automated MSME Loan appraisal for MSMEs

        In the Post Budget interaction at Vishakhapatnam today, the Union Finance and Corporate Affairs Minister, Smt. Nirmala Sitharaman and Minister of State, Finance Shri Pankaj Chaudhary launched the New Credit Assessment Model based on the scoring of digital footprints of MSMEs. It was announced in the Union Budget 2024-25 that Public sector banks (PSBs) will build their in-house capability to assess MSMEs for credit, instead of relying on external assessment. PSBs will develop a new credit assessment model, based on the scoring of digital footprints of MSMEs in the economy.

        This credit assessment model will leverage the digitally fetched and verifiable data available in the ecosystem and devise automated journeys for MSME Loan appraisal using objective decisioning for all loan applications and model-based limit assessment for both Existing to Bank (ETB) as well as New to Bank (NTB) MSME borrowers.

        The digital footprints used by the model may include Name and Pan authentication using NSDL, Mobile and email verification using OTP, API fetch of GST data through service providers, Bank Statement Analysis using account aggregator, ITR upload and verification, API enabled commercial and consumer bureau fetch and due diligence using CICs, fraud checks, Hunter checks through APIs, among others.

        The benefits to MSMEs by use of this model includes submission of application from anywhere through online mode, reduced paperwork and Branch visit, instant in-principle sanction through digital mode, seamless processing of credit proposals, end to end straight through process (STP), reduced turnaround time (TAT), Credit decision based on objective data/ Transactional behaviour and credit history, no Physical collateral securities for loans covered under CGTMSE, among others.

        The credit assessment model for MSMEs based on digital footprints is expected to be a significant improvement over the traditional assessment of credit eligibility based only on asset or turnover criteria. That will also cover MSMEs without a formal accounting system.

        Digital credit assessment for MSMEs enables automated, objective loan appraisal and model-based limits for ETB and NTB borrowers. Public sector banks must build an in house digital credit assessment model for MSMEs that uses verifiable digital footprints and API fetched data to provide automated, objective loan appraisal and model based limit assessment for both Existing to Bank and New to Bank MSME borrowers, enabling online applications, straight through processing, reduced paperwork and turnaround time, and credit decisions based on transactional behaviour and verified data.
                          Cases where this provision is explicitly mentioned in the judgment/order text; may not be exhaustive. To view the complete list of cases mentioning this section, Click here.
                            Provisions expressly mentioned in the judgment/order text.

                                Digital credit assessment for MSMEs enables automated, objective loan appraisal and model-based limits for ETB and NTB borrowers.

                                Public sector banks must build an in house digital credit assessment model for MSMEs that uses verifiable digital footprints and API fetched data to provide automated, objective loan appraisal and model based limit assessment for both Existing to Bank and New to Bank MSME borrowers, enabling online applications, straight through processing, reduced paperwork and turnaround time, and credit decisions based on transactional behaviour and verified data.





                                Note: It is a system-generated summary and is for quick reference only.

                                Topics

                                ActsIncome Tax
                                No Records Found