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Automated Loan Processing Software

Features, Integrations, Benefits, Costs

Bringing in 17-year expertise in financial software development, ScienceSoft helps banks and lending companies implement reliable automated loan processing solutions.

Automated Loan Processing Software - ScienceSoft
Automated Loan Processing Software - ScienceSoft

Automated Loan Processing Software in a Nutshell

Automated loan processing software is a solution that streamlines all stages of loan cycle, from risk assessment and decision-making to credit reporting and repayment control.

Such solutions rely on artificial intelligence (AI), robotic process automation (RPA), optical character recognition (OCR), and other advanced techs to eliminate time-consuming and error-prone manual lending tasks.

Loan types that can be automated:

  • Commercial loans: term loans, business lines of credit, invoice financing, invoice factoring, merchant cash advances, SBA loans (for the US), and more.
  • Personal loans: unsecured and secured loans for personal needs, personal lines of credit, Buy Now Pay Later loans, mortgages, and more.

Essential integrations: A customer portal, accounting software, payment gateways, and more.

Implementation time: 10–15+ months for a custom automated loan processing solution.

Development costs: $200K–$1M+, depending on the solution’s complexity.

Annual ROI: ~225%.

Key Features of an Automated Loan Processing System

For each loan processing automation project, ScienceSoft creates software with unique functionality tailored to the specific needs of a particular customer. Below, we share a list of features that form the core of any automated loan processing solution.

Automated borrower onboarding and pre-qualification

  • Configurable registration forms for borrower onboarding.
  • Setting borrower eligibility requirements (minimum monthly income, geographical location, credit history, etc.) based on the internal lending policies.
  • Automated data extraction from the documents provided by borrowers and data validation.
  • AI-enabled borrower pre-qualification against the pre-set requirements based on the data provided by borrowers and the data available in public data sources (e.g., credit rating platforms).
  • Automated borrower categorization by user-defined parameters, e.g., borrower type (a business or an individual), requested loan type, region, etc.
  • Geography-based KYC/AML verification.
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Task management automation

  • Automated assignment of loan processing tasks to the loan officers, risk analysts, and other relevant staff members based on employee availability, loan application value, region, etc.
  • Scheduled and ad hoc communications with borrowers.
  • Instant messaging for the internal communication among the lending teams.
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Automated credit risk assessment

  • Automated processing of borrower credit documentation in various formats (PDF, digital image, JSON, XML, etc.).
  • Automated assessment of a borrower’s credit risk based on user-defined criteria (loan amount, monthly income amount, income sustainability, and other parameters with pre-assigned weights).
  • Automated scoring of a business’ credit risk based on default probability and loss given default models (for commercial loans).
  • Automated calculation of consolidated and distributed credit ratings for multi-entity borrowers.
  • Flagging the loan applications that require additional borrower information for credit risk scoring.
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Collateral management automation

  • Automated registration of a borrower’s financial and non-financial assets for secured loans.
  • Automated valuation of non-financial collaterals (e.g., real estate, cars, equipment) based on the analysis of available data on their condition and market prices for the assets.
  • AI-based risk assessment for various collateral types.
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Automated loan underwriting

  • Template-based creation of loan approval forms containing the loan application and all necessary borrower data and documents.
  • Automated multi-department loan approval workflow.
  • Configurable approval hierarchies (based on a loan type, loan amount, borrower location, etc.).
  • Automated approval or decline of a loan application based on the user-defined rules.
  • AI-based suggestions on the alternative loan terms to propose to the borrower in case of declining the initial loan application.
  • Instant communication of the loan-related decision to the borrower (via email, messaging apps, or a customer portal).
  • Automated generation and submission of funds transfer requests upon loan approval.
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Loan agreement management

  • Template-based creation of loan agreements.
  • Calculating the due principal and interest/APR amounts for each loan agreement.
  • Automatically adding to loan agreements the appropriate covenant and penalty terms for late repayments (based on a loan type, loan amount, borrower’s risk score, etc.)
  • Configurable agreement approval and signing workflow.
  • Loan agreement status tracking (approved, signed, etc.) for loan officers and a borrower.
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Loan repayment control

  • Automatically generating invoices on due loan repayments and sending them to borrowers.
  • Real-time tracking of disbursed loans and loan repayment status (due, partially repaid, fully repaid).
  • Customizable loan repayment calendars.
  • Instant payment processing via the connected payment gateways.
  • Support for multiple loan repayment methods: bank transfer, card, check, etc.
  • Scheduled and ad hoc omnichannel notifications to borrowers about debt collection.
  • User-defined rules for payment rescheduling and loan prolongation upon the request from a borrower.
  • Alerts to loan officers on overdue loan repayments.
  • Automatically imposing penalties on a borrower in case of a missed repayment.
  • Automated reconciliation of the received loan repayments.
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Loan analytics and reporting

  • Calculating essential metrics such as average loan cycle time, average loan value, approval rate, profit per loan, and more.
  • Automated reports on the granted loans, borrower risk scores, debt collection progress, loan portfolio performance and risks, revenue and taxes, and more.
  • Scheduled submission of loan reports in the compliant format (e.g., Metro2 Format for the US) to the required credit regulators.
  • Trend-based forecasting of loan demand and financial gains under lending activities based on the historical data on loan transactions, financial market data projections on exchange and credit rates.
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Borrower data management

  • Centralized storage of all borrower-related data, such as interaction history and ongoing activities, credit terms.
  • Centralized borrower document storage for loan applications, loan agreements, loan repayment invoices, documents proving borrower creditworthiness.
  • A search engine with filtering and metadata querying to navigate borrower-related data and documents.
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  • Compliance with IFRS9, CECL, GLBA, FCRA, FCBA, ECOA, MLA, FDCPA, TILA, Basel III, SOC1 and SOC2, SOX, GDPR and PSD2 (for the EU), other relevant global, country- and industry-specific regulations.
  • Comprehensive audit trail for loan-related transactions and user activities.
  • AI-powered fraud detection.
  • Documents e-signing.
  • Data encryption.
  • Configurable data retention and deletion policies.
  • Multi-factor authentication.
  • Role-based access control.
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Leverage Fast and Accurate Loan Processing

ScienceSoft’s team is ready to design and build an effective solution to automate the error-prone manual loan processing tasks and streamline loan-related decision-making.

Essential Integrations for Automated Loan Processing Software

Connecting your loan processing solution with the relevant back-office and third-party systems helps speed up loan origination and minimize lending risks. ScienceSoft recommends establishing the following key integrations:

Integrations for Automated Loan Processing Software - ScienceSoft

  • A customer portal: to process loan applications faster; to instantly communicate loan decisions to borrowers, send invoices and notify them of due repayment dates.
  • Credit rating platforms of the selected credit rating bureaus (e.g., Experian, Equifax): for facilitated credit rating checks and credit report submission.
  • Payment gateways of banks or independent payment service providers (e.g., Stripe, PayPal): for smooth processing and real-time tracking of loan repayments.
  • Bank accounts: for centralized tracking of loan-related transactions, timely transfer of the approved funding amounts to the borrowers, and streamlined reconciliation.
  • Accounting software: for accurate recording of loan-related transactions in the general ledger.
  • A business intelligence solution: for comprehensive loan analytics and reporting.

How to Achieve High ROI for Loan Processing Automation Software

Relying on decades-long experience in financial software design and development, ScienceSoft’s consultants defined the main factors that help drive maximum payback from loan processing software implementation.

End-to-end automation

To eliminate time-consuming manual workflows and free up the lending teams for high-value tasks.

Advanced analytics

To ensure accurate decision-making and leverage data-driven forecasting of borrower payment behavior.

Focus on security

To protect your IT system against all types of cyber attacks.

Expert advice from Natallia Babrovich, ScienceSoft’s Senior Business Analyst and Financial and Banking IT Consultant:

Your loan processing solution needs to stay compliant with the up-to-date financial security standards and legal requirements for credit reporting. To avoid unnecessary headache in the future, make sure your software offers flexibility to smoothly and promptly adopt the newly-emerging regulations.

Costs and ROI of Automated Loan Processing Software

The costs and timelines of implementing the custom software vary greatly depending on:

  • The number and complexity of functional modules, including AI-powered features.
  • The number and complexity of integrations.
  • Role-specific requirements for UX and UI.
  • Non-functional requirements: security, performance, scalability, availability, etc.
  • The sourcing model (full outsourcing, partial outsourcing, or all in-house).

From ScienceSoft’s experience, a custom loan processing automation solution of average complexity requires $200,000–$600,000 in investments, while building a complex system for credit documentation automation and intelligent loan decisioning may cost $1,000,000+.

Automated loan processing software can bring up to 225% ROI in the first year of implementation.

Benefits of loan processing automation

x2–x25+ faster loan processing.


90%+ reduction in time to create loan reports.

15–20% increase in loan origination volume.

20% decrease in operational costs.

Improved accuracy of borrower document processing and loan-related decisions.

Simplified compliance with the required lending standards and regulations.

Off-the-Shelf Software ScienceSoft Recommends

Fusion DecisionPro by Finastra

Best for

Automated processing of consumer and small business loans.


  • Rule-based assignment of loan processing tasks to the lending team.
  • AI-supported loan underwriting.
  • Configurable loan approval hierarchies.
  • Instant communication of loan-related decisions to borrowers.
  • Pre-built APIs to integrate with a customer portal, accounting software, and other required systems.
  • FACT Act and Regulation B compliance.


May not provide compliance with the lending regulations of the countries you operate in.

Comarch Loan Origination

Best for

Automated processing of complex commercial loans.


  • Automated capture and validation of borrower credit documentation.
  • Automated scoring based on the analysis of borrower credit risk.
  • Support for multi-product and multi-entity loan agreements.
  • Rule-based application of covenants to the loan agreements.
  • Full audit trail of loan processing activities.
  • Compliance with KYC requirements, GDPR, PSD2, and Mortgage Credit Directive (MCD).
  • Permission-based access control.


Customizing the product to your unique business loan processing needs may be costly and complicated.

LoanServ by Sagent

Best for

Mortgage and personal loan processing automation.


  • Real-time aggregation and processing of loan applications.
  • Automated valuation of non-financial collaterals for secured loans.
  • Rule-based decision-making on loan approval or decline.
  • Automated generation of loan agreements.
  • Configurable dashboards for loan repayment tracking.
  • Seamless mobile access.
  • Compliance with the US-specific lending regulations.


May be hard to integrate with your legacy software.

When to Choose Custom Loan Processing Automation Software

ScienceSoft recommends building a custom automated loan processing solution in the following cases:

You need a solution to automate specific loan origination workflows, e.g.:

  • Borrower credit risk assessment based on custom criteria.
  • Processing complex multi-entity credit documents for joint loans.
  • Granting syndicated loans and monitoring their repayment.
  • Crypto asset lending.
  • Valuating different types of collateral based on custom formulas.

You need software that is compliant with all the required lending regulations, including region-specific standards.

You need a highly secure solution providing advanced capabilities (e.g., intelligent fraud detection).

You need flexible loan processing software that is easy to evolve as your business grows or new legal compliance requirements appear.

You want to avoid costly and effort-consuming integration of the loan automation software and your internal systems.

You want to leverage smart-contract-based loan processing automation.

Implement Your Own Automated Loan Processing System with ScienceSoft

In financial software development since 2005, ScienceSoft helps established credit services companies and lending startups implement robust loan processing automation.

Consulting on automated loan processing software

We introduce an optimal feature set, architecture design, and tech stack for your solution and provide expert advice on security and compliance. You also get a detailed implementation plan with cost and time estimates and the expected ROI calculation.

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Implementation of automated loan processing software

We cover end-to-end software implementation, including solution design, quality assurance, and integration with the required systems. Having proven tech skills and deep knowledge of the BFSI industry, we guarantee prompt development and top quality of the software.

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A Featured Success Story by ScienceSoft

Loan Automation Software Development for a US-Based Microfinance Company

ScienceSoft designed and built custom loan management software for a reputable financial services company with 50+ offices across the US. The solution provides robust automation of business-specific lending processes, including:

  • Processing of loan applications.
  • Verification of a borrower's credit rating.
  • Generation of loan agreements and credit reports.
  • Loan repayment control and debt collection.


About ScienceSoft

About ScienceSoft

ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. Since 2005, we design and develop effective lending solutions, including loan processing automation systems. Being ISO 9001- and ISO 27001-certified, we apply a mature quality management system and guarantee that cooperation with us does not pose any risks to our customers’ data security.