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Mortgage Process Automation

A Complete Guide

ScienceSoft combines 19 years of experience in lending software development with deep practical knowledge of the real estate domain to help mortgage lenders implement effective mortgage automation.

Mortgage Automation Software - ScienceSoft
Mortgage Automation Software - ScienceSoft

Mortgage Automation in a Nutshell

Mortgage automation helps digitally transform manual, paper-intensive mortgage processes to accelerate the mortgage loan cycle and free up the teams for high-value, strategic tasks.

Mortgage automation systems enable the automated generation and processing of mortgage documents and facilitate document exchange between the parties involved in a mortgage deal. They provide full visibility of transactions and help maintain compliance with the latest legal regulations.

A mortgage automation solution can also provide advanced analytics to ensure accurate mortgage-related decision-making and prevent mortgage fraud.

Main integrations: CRM, accounting software, a treasury system, a BI solution, and more.

Implementation time: 10–15+ months for a custom mortgage automation system.

Development costs: $400,000–$2,000,000+, depending on the solution’s complexity. Use our free calculator to estimate the cost for your case.

Annual ROI: Up to 840%.

Main Mortgage Processes to Automate

Automation technologies and digital tools drive changes throughout the entire mortgage workflow, from application processing to closing. According to Forbes, 36% of mortgage companies employ robotic process automation (RPA) software to eliminate manual data processing tasks, and over a half plan to expand RPA use in the near future. 83% of mortgage providers report having at least one back-office automation solution driven by artificial intelligence (AI).

Among the most prominent mortgage areas to automate are:

Data intake

Rely on AI, RPA, and image analysis techs to get instant capture and processing of mortgage applications and customer documents. Up to 95% of processing tasks can be automated.

Mortgage underwriting

Employ advanced big data analytics and integrate your mortgage solution with multiple data sources to get 100% precise and 3x–30x faster evaluation of customer risks.

Mortgage closing

Drive 20–50% reduction in the mortgage loan cycle and 35%+ increase in the team productivity with the automated generation and sharing of multi-party mortgage close documents.

Mortgage debt recovery

Get full visibility of late payments, automate personalized reminders to debtors, and leverage AI-supported debt recovery planning to minimize delinquency and avoid effort-consuming mortgage foreclosure.

Types of mortgage loans to automate:

  • Residential and commercial mortgages.
  • Fixed-rate and adjustable-rate mortgages.
  • Private and institutional mortgages.
  • Forward and reverse mortgages.
  • Conventional mortgages, including high-balance loans and jumbo loans.
  • Government-backed (e.g., FHA, VA, USDA) mortgage loans.
  • Interest-only mortgages.
  • Construction loans, and more.

Ways to Set Up Mortgage Process Automation

Off-the-shelf mortgage software

Custom mortgage automation system

TCO components

Initial setup costs + customization and integration costs + licensing/subscription fees that scale with the number of users.

Upfront investments + the cost of after-launch support and evolution of the mortgage system.

Lower TCO in the long run.


Defined by the mortgage software vendor.

Chances to obtain a large share of unnecessary functionality.

Additional features are restricted to third-party plugins and extensions.

Defined by customers and fully tailored to their needs.

Can cover features that go beyond a typical mortgage solution's scope (e.g., enable automated mortgage trading on the secondary market), as well as features supported by advanced techs (AI/ML, blockchain, etc.).


Limited capabilities.

Unlimited capabilities. New features can be introduced on demand.


API-enabled integration with popular software products. Connection to custom solutions and legacy systems may be complex or impossible.

Seamless integration with all required corporate and third-party systems, including legacy software.

Learning curve

May be steep due to complicated, inconvenient UX and UI.

Short due to convenient UX and intuitive UI tailored to various user roles.


Restricted to the vendor’s platform capabilities.

Non-restricted. The system scales instantly to accomodate the spikes in mortgage applications.


Fully depends on the vendor’s cybersecurity practices and cannot be controlled by the customer.

Minimized security risks due to custom code design and the ability to add advanced security features.

Regulatory compliance

Typically limited to compliance with global data security standards.

Compliance with all necessary global, regional, and industry-specific regulations, including case-specific standards (e.g., Fannie Mae and Freddie Mac requirements for mortgage securitization).

Maintenance and support

Performed by a mortgage software product vendor.

Provided by an in-house team or an outsourced dedicated vendor.

Which Approach to Mortgage Automation Fits Your Needs Best?

Answer a few simple questions and find out whether you should opt for a custom solution or a ready-made automation tool.


Please tell us a bit more about your needs

Answer at least 3 questions to get results.

Go to Questions

You can go with off-the-shelf mortgage automation software

Looks like market-available solutions are a viable option to meet your automation needs. Turn to ScienceSoft if you need help with choosing the optimal ready-made tools, their implementation, customization, or integration with your existing systems.

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You definitely should consider custom development

A tailor-made mortgage automation solution will help you reap the unique benefits that market-available software cannot offer. Turn to ScienceSoft to get the detailed assessment of a custom mortgage automation system’s feasibility for your business situation.

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Custom mortgage automation software is your best choice

Looks like market-available mortgage automation tools don’t fit your specific business requirements and won’t be able to provide the expected operational and economic feasibility. Turn to ScienceSoft to get a consultation on custom mortgage automation software development and receive cost and ROI estimates.

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Key Features of a Mortgage Automation System

In mortgage automation projects, ScienceSoft creates software with unique functionality bound to the specific needs of each mortgage lender. Below, we share a list of features that form the core of a mortgage processing system and help automate up to 90% of mortgage-related activities.

Automated processing of mortgage applications

  • Automated extraction of data from mortgage applications (a borrower’s information, a requested loan amount, co-borrowers, details on the property a borrower wants to purchase, etc.) and documents on a borrower’s income, owned assets, and existing liabilities (e.g., bank statements, recent tax returns, proof of current employment).
  • Support for structured and semi-structured document formats (JSON, XML, PDF, digital image, etc.).
  • Conversion of paper documents into a pre-defined digital format using optical character recognition.
  • AI-supported validation of data provided by borrowers against the data available in public data sources (e.g., credit rating platforms).
  • Alerts to mortgage loan officers on missed or mismatched borrower data that require manual processing.
  • Geography-based KYC/AML verification for borrowers.
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Automated mortgage underwriting

  • AI-powered assessment of borrower credit risks based on the analysis of a borrower’s credit history, spending patterns, income sustainability, and more.
  • Borrower segmentation based on the credit risk level.
  • Configurable mortgage loan limits (e.g., max loan amount, min income to qualify for a loan) for each borrower segment.
  • Automated decision-making on mortgage loan approval or rejection based on a borrower’s risk score.
  • Configurable multi-department mortgage approval workflow.
  • AI-based recommendations on alternative mortgage terms (down payment amount, mortgage insurance, interest rate, etc.) to propose to the borrower in case of the initial application decline.
  • Automated generation of pre-approval letters listing the available mortgage amortization scenarios and their submission to the borrower (via email or a customer portal).
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Automated mortgage closing

  • Automated calculation of a down payment, an escrow deposit, APR, and closing-associated fees, including a loan application fee, a credit report fee, an upfront mortgage insurance premium, a flood determination fee, an owner’s title fee, a real estate commission, etc.
  • Template-based creation of mortgage amortization schedules.
  • Automated generation of the closing disclosure documents: a good faith estimate, a truth-in-lending disclosure statement, a HUD-1 settlement statement, and others.
  • Configurable mortgage document approval workflow (collecting approvals of internal stakeholders and a borrower).
  • E-signing of mortgage documents.
  • Automated generation of a deed of trust, triggered by receiving the pre-agreed down payment from a borrower, and its submission to the local title registration authorities to finalize the transfer of property ownership.
  • Centralized storage of mortgage-related documents.
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Mortgage payment control

  • Automated multi-currency payments to property sellers.
  • Automatically generating monthly mortgage payment invoices and sending them to borrowers.
  • Tracking mortgage repayment transactions by period, borrower, type (down payment, principal payment, interest payment, service fee, property tax, etc.), status (due, partially paid, fully paid), and more.
  • Support for multiple mortgage repayment methods: bank transfer, credit card, check, etc.
  • Scheduled auto-deduction of a monthly mortgage payment from a borrower’s payment method.
  • Automated reconciliation of received mortgage repayments.
  • Alerts to mortgage loan officers on missed repayments.
  • Personalized omnichannel reminders to borrowers on due mortgage payments.
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Mortgage debt recovery automation

  • Calculating late payment fees and applying them to the debtors’ invoices in case of past due mortgage payments.
  • Scheduled generation of missed payment notices, demand letters, and notices of default and their submission to the debtor.
  • Automated reporting of a borrower’s delinquency to credit bureaus, triggered by non-payment for a particular period.
  • Rule-based mortgage forbearance, modification, refinancing, or transfer upon a debtor’s request.
  • Automated foreclosure workflow.
  • Automated evaluation of foreclosed property based on available data on its condition and market prices for the real estate.
  • Calculating costs of a foreclosure proceeding and reallocating them to the debtor.
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Mortgage loan trading automation

  • Rule-based generation, confirmation, and closing of mortgage loan purchasing and selling orders.
  • Calculating capital gains and losses under the mortgage loan trading activities.
  • Configurable mortgage loan portfolio structures.
  • AI-powered assessment of loan portfolio risks.
  • Automatically created schedules on mortgage investment and debt maturity dates.
  • Scheduled and ad hoc payments for the purchased mortgage loans.
  • Monitoring due and received payments on the sold mortgage loans.
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Mortgage processing task management

  • Automated assignment of mortgage origination, servicing, and debt collection tasks to the relevant employees based on their qualification, availability, location, etc.
  • AI-powered task prioritization based on their urgency, expected value, financial losses associated with task non-completion, and more.
  • Configurable dashboards with task-specific KPIs and real-time updates on the task progress.
  • Notifications of the assigned tasks to the mortgage team members.
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Mortgage analytics and reporting

  • Calculating and tracking essential mortgage performance metrics, such as closing cycle time, pull-through rate, average mortgage loan value, application approval rate, delinquency rate, and more.
  • Scheduled and ad hoc mortgage loan reporting to credit bureaus and other required financial regulators.
  • Template-based creation of monthly and annual mortgage statements.
  • AI-powered forecasting of mortgage demand, mortgage default rate, mortgage-related cash inflow and revenue based on the analysis of historical data on mortgage applications, borrower payment behavior, market-available data on current and projected mortgage rates and property prices.
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A customer self-service portal

  • Borrower self-registration, managing and updating essential personal or business information.
  • Uploading the required mortgage documentation.
  • A mortgage calculator to model mortgage loan prices against various mortgage terms.
  • Template-based creation of mortgage applications.
  • Notifications to borrowers regarding the updates of mortgage loan statuses, due repayment dates, expiring documents that need updating, etc.
  • Instant messaging.
  • A virtual assistant to help borrowers solve technical, transactional, and security issues.
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Security and compliance

  • Compliance with the Fair Housing Act (FHA), the Equal Credit Opportunity Act (ECOA), the Home Mortgage Disclosure Act (HMDA), the Dodd-Frank Act, CFPB standards, the TILA-RESPA Integrated Disclosure Rule (TRID), the Mortgage Credit Directive (for the EU), other relevant global and country-specific mortgage regulations.
  • A full audit trail for mortgage-related activities.
  • AI-powered fraud detection.
  • Data encryption.
  • Configurable data retention and deletion policies.
  • Multi-factor authentication.
  • Role-based access control.
Read all

ScienceSoft’s best practice: Built-in customer portal functionality is optional for a mortgage processing system. However, this module can help facilitate borrower onboarding and ensure a fast and smooth lead-to-close cycle with minimal manual efforts. If you already have a customer portal, ScienceSoft can integrate it with mortgage software. If not, we can power your mortgage automation system with borrower self-service capabilities.

Get Streamlined Mortgage Processes. Hassle-Free

ScienceSoft’s team is ready to design and build a reliable automation solution to improve the efficiency of your business operations and minimize financial risks.

Important Integrations for the Mortgage Automation System

Integrations for the Mortgage Automation System - ScienceSoft


  • For accurate borrower risk scoring and automated input of up-to-date borrower information when generating mortgage documents.
  • For data-driven planning of mortgage product promotions and consistent communication with borrowers.

Credit rating platforms

of the selected credit rating bureaus (e.g., Experian, TransUnion, Equifax)

  • For facilitated assessment of borrower creditworthiness and prompt submission of mortgage reports.

Mortgage insurance systems

of the selected mortgage insurance providers (e.g., Arch MI, National MI, Enact)

  • For data-driven modeling of mortgage amortization scenarios and automated calculation of mortgage insurance fees for borrowers.

Land registration system

of a local property registration authority

  • To simplify and speed up the registration of deeds and transfer of title.
  • For instant processing and real-time tracking of mortgage repayments.
  • For accurate recording of mortgage-related transactions in the general ledger.

The mortgage company’s bank accounts

  • To timely make payments on mortgage-related transactions.
  • For facilitated reconciliation of mortgage payments.

When used by banks, a mortgage automation system can be integrated directly with a core banking system.

  • To plan the optimal hedging strategies for the mortgage loan portfolio.
  • To initiate mortgage loan purchasing and selling.

In addition, mortgage software can be integrated directly with mortgage loan trading platforms to establish automated mortgage loan trading processes.

  • For comprehensive mortgage analytics and advanced mortgage data visualization.

Factors that Drive ROI for Mortgage Automation

Below, ScienceSoft’s consultants outline the main factors that help achieve high payback from mortgage automation system implementation:

To eliminate time-consuming and error-prone manual efforts across the entire mortgage loan cycle.

To ensure automated mortgage processing in accordance with global and country-specific regulations.

AI-powered engine

To get an accurate assessment of borrower credit risks and intelligent recommendations on the optimal mortgage terms for each client.

To provide a seamless flow of mortgage-related data among the lender’s teams, borrowers, and external partners and avoid double data entry.

ScienceSoft's Head of Business Analysis and Banking IT Consultant

Make sure your mortgage automation system provides scalability to smoothly process an increasing amount of mortgage applications and high-volume close documents to support your business growth.

Cost of Mortgage Automation

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

  • Automation scope: mortgage origination automation, mortgage servicing automation, etc.
  • The complexity of a solution’s functional capabilities, including AI-based features.
  • The number and complexity of integrations.
  • Non-functional requirements, including security and compliance requirements.
  • The volume and complexity of data to be migrated from spreadsheets or an existing mortgage processing system.
  • The sourcing model (full outsourcing, partial outsourcing, or all in-house), team composition, tech stack, etc.
Pricing Information

From ScienceSoft’s experience, a custom mortgage automation solution of average complexity costs around $400,000–$1,500,000. Large financial institutions looking to build a complex mortgage automation system powered with advanced analytics should expect to invest $2,000,000+.

Want to know the cost of your mortgage lending solution?

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Benefits and ROI for Mortgage Process Automation

Despite the substantial upfront investments, mortgage automation can bring up to 840% annual ROI for large companies.

Operational cost savings

Automation helps mortgage providers achieve an up to 50% reduction in operational expenses, including labor, document processing, deal closing, and debt collection costs.

Growing volume of issued mortgage loans

Mortgage underwriting automation and AI-supported mortgage decision-making drive a 15–20% increase in mortgage loan origination volume with no additional employee efforts.

Faster mortgage underwriting and servicing

Mortgage process automation is a way to prevent delays associated with lengthy and cumbersome risk assessment and mortgage closing. Digital mortgage software helps mortgage lenders establish more than 24x faster processes.

Higher productivity of mortgage teams

Mortgage automation software eliminates low-value, error-prone manual workflows, which brings a 35–50% improvement in the productivity of mortgage teams.

Mortgage Automation with ScienceSoft

In financial software development since 2005, ScienceSoft provides a full scope of IT services to help mortgage lenders establish effective mortgage process automation. We drive mortgage projects to their goals no matter what, applying our development best practices to ensure that the agreed budget and timeframes are met.

Consulting on mortgage automation

We introduce optimal functionality, architecture design, and tech stack for your mortgage automation solution and advise on security and compliance. You also get a detailed project plan with cost and time estimates to ensure risk-free software implementation.

I need this!

Implementation of mortgage automation

We design and develop your mortgage automation solution, integrate it with the required systems, and run quality assurance procedures. You benefit from the top-flight project management, fast implementation, superior quality, and robust security of the software.

I need this!

Our BFSI Customers Say

We are impressed with ScienceSoft’s pragmatic project management, quality-first mindset, and transparent communication. They are strongly motivated to deliver maximum value with their services.

When challenges arose, ScienceSoft problem-solved and elicited maximum potential with every system improvement. Ultimately, they took the project to the heights I never expected it to reach.

We especially appreciate ScienceSoft’s professional approach to security issues, which were among our main concerns due to strict regulations.

About ScienceSoft

ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. We help financial services providers design and build effective solutions for mortgage workflow automation. 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.