# Mortgage and Loan
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Original URL: https://reimagine.nelson-hall.com/programs/mortgage-loan
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## Content
Projects [Back to Banking Operations Transformation](https://reimagine.nelson-hall.com/programs/banking-operations-transformation) ## Latest Projects Transforming Mortgage and Loan Services Lenders need to reduce the cost of originating and servicing loans of all types, and speed to close is emerging as a key requirement for successfully originating business. This project assists buyers in understanding what they can achieve in transforming their mortgage and loan services; and will help professional services and BPS vendors in promoting their offerings to tier-one and regional lenders and loan servicers. Project by [Andy Efstathiou](https://reimagine.nelson-hall.com/programs/analysts/13) Sep 2, 2022 Transforming Mortgage and Loan Services Lenders are increasingly tasked with regulations requiring greater transparency, faster execution, and openness to third parties transacting on their platforms. They must rethink their operations strategy if they are to successfully meet these challenges, with digital technologies at the heart of the transformation. This project analyses the key success factors for lenders. Market Analysis Market Analysis by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jul 17, 2025 ## Transforming Mortgage and Loan Services M&L services have focused on process automation, M&A support, and experimentation with emerging technologies. In the future, M&L services will need to hyperpersonalize customer engagement, scale operations rapidly, and coordinate data/compliance across diverse product sets. Market Analysis by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jan 4, 2024 ## Transforming the Banking Industry with ESG Services NelsonHall's market analysis of Transforming the Banking Industry with ESG Services consists of 96 pages. Market Analysis by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Sep 2, 2022 ## Transforming Mortgage & Loan Services Andy Efstathiou briefly introduces his 2022 global market analysis report on 'Transforming Mortgage & Loan Services'. The full report consists of 111 pages. ![](https://www.youtube.com/watch?v=VAyLKUJIwA4) Market Analysis by [John Willmott](https://reimagine.nelson-hall.com/analysts/3) Aug 11, 2022 ## Impact of Economic Downturn on the Retail Banking Sector NelsonHall’s analysis of the impact of the economic downturn on the Retail Banking sector consists of 13 pages. This is one of a series of industry sector reports assisting buyers and suppliers to monitor the impact of recent changes in the socioeconomic environment. ## Latest Vendor Assessments Vendor Assessments by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jul 1, 2025 ## Wipro - Transforming Mortgage and Loan Services This NelsonHall vendor assessment analyzes Wipro's offerings and capabilities in Mortgage & Loan Services Vendor Assessments by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jun 30, 2025 ## Mphasis - Transforming Mortgage and Loan Services This NelsonHall vendor assessment analyzes Mphasis' offerings and capabilities in Mortgage & Loan Services Vendor Assessments by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jun 27, 2025 ## Capgemini - Transforming Mortgage and Loan Services This NelsonHall vendor assessment analyzes Capgemini's offerings and capabilities in Mortgage & Loan Services Vendor Assessments by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jun 26, 2025 ## Infosys - Transforming Mortgage and Loan Services This NelsonHall vendor assessment analyzes Infosys' offerings and capabilities in Mortgage & Loan Services ## Latest blogs Blog by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jul 18, 2025 ### How Mortgage & Loan Operational Services Are Transforming ![](https://repo.nelson-hall.com/uploads/1752838171_Andy-M&L%20blog-July25.png) I recently completed a global market assessment of mortgage and loan operations services. I found that the mortgage and loan industry is restructuring at a faster pace than at any time since the Savings and Loan Crisis of the early 1990s, as mergers and divestitures have increased in size and frequency. For example, over the past twelve months in the U.S., Rocket Mortgage has acquired Mr. Cooper for $9.4 Bn. This merger combines the largest mortgage servicer with the largest originator in the U.S. The combined company will service 10m mortgages, 17% of all U.S. mortgages, and Rocket Mortgage forecasts it can save $500m in operating costs post-merger. Elsewhere, other medium-sized market participants have divested their mortgage operations to focus on their core businesses. **The challenge of operational transformation** The lending industry remains a highly manual operational environment. The high cost of loan origination, increasing competition, and evolving technology is driving industry participants to automate processes and embed AI into their operations. The changing market environment, including shifting customer demographics (such as younger and unbanked individuals) and increasingly stringent enforcement of regulations (especially KYC/AML), is driving the acceleration of automation to accommodate significantly higher processing volumes. Successful operations transformation requires change on a large scale. To make a big impact on operational effectiveness, lenders need to address three issues: - *Data*: None of the emerging AI technology works without clean data from multiple sources. Data sourcing, extraction, scrubbing, and indexing from new channels and new ecosystems are required to enable an intelligent organization - *Agility*: Lending is a cyclical business. Delivering cost-effective operations requires operations with a non-linear cost structure. Lenders need to move to hybrid multi-cloud delivery with high levels of process automation to increase operational flexibility - *Modernization of the operations estate*: Lenders cannot simply rip and replace systems without undue risk and cost. Lenders need to develop a structured replacement strategy utilizing microservices, APIs, and app marketplaces to employ best-of-breed solutions for each sub-process. Lenders have been applying these strategies to modernize origination and default management services, while loan servicing has seen less transformation activity. Where lenders have modernized their servicing activities, their efforts have focused on process automation and the modernization of collateral management. Across all processes, the shift from manual to digital processing has delivered the highest ROI. GenAI promises to deliver additional cost and time savings on judgment-based processes, such as credit assessment, product offers presented to borrowers, and risk/security management. Regional and local lenders are using managed services and BPS to mitigate their staffing disadvantage. Their focus is on buying standardized offerings to enable them to compete with tier-one and digital lenders. **Summary** The biggest challenge to transforming lending operations is the risk of implementation. Many of the most successful implementations have been done after an initial failed attempt with a previous vendor. Failed implementations often occur due to a vendor's lack of familiarity with a specific new technology and inadequate change management practices. Lenders generally avoid full platform replacement strategies in favor of phased modernization or decoupling of functionality. These strategies are easier to pursue using cloud delivery, which reduces risks by moving technology change management to the cloud provider, leaving business change management as an internal task. Third-party vendors can provide valuable insights, best practices, and product selection services for emerging technologies, leveraging their experience with AI, automation, and cloud technologies, which is especially helpful to regional and local banks. These best practices are developing rapidly as FinTech and cloud technology continue to evolve. *I will publish a market assessment on transforming mortgage and loan services in July to delve deeper into this market. It will identify how the market is evolving, what services banks are buying to support their transformation efforts, and the benefits being realized.* Loan & Mortgage ProcessingBanking-Specific Blog by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Jan 6, 2025 ### Lenders Gear Up for Rapid Growth in Loan Originations ![](https://repo.nelson-hall.com/uploads/1736176927_Andy-Mortgage&Loans%20blog-Jan25.png) Global loan originations have declined since COVID and the trough of interest rates in April 2020. For example, in the U.S., loan originations fell from $4.51 trillion in 2021 to $1.50 trillion in 2023. Currently, interest rates in the U.S. are declining, and mortgage originations in the first three quarters of 2024 have increased by 9% over the prior year. The U.S. lending industry group, the Mortgage Bankers Association, forecasts a 28% increase in mortgage originations in 2025 to $2.3 trillion due to lower interest rates and increased home building providing consumers with a larger inventory at a lower net cost. Lenders are preparing their operations for a strong rebound in lending. This blog looks at some of the initiatives in play. NelsonHall completed a survey of 60 financial industry executives in August 2024 about their intentions for operational transformation. Mortgage and core banking operations are the areas with the highest need for fundamental change (55% of respondents indicated extensive change is needed). Mortgage operations had the highest level of respondents (60%) saying they would increase their use of standalone operations transformation. Lenders are looking to transform operations to drive revenue growth and capture the anticipated surge in origination volumes by: - Using AI to enable hyper-personalization - Using intelligent agents to enable customers and originators to shop a broader range of offerings and options efficiently - Adopting flexible tech infrastructure to enable faster loan product introductions - Implementing open banking architecture to enable partners to offer customers a broader range of financial products and services. A recent example of the type of operational changes origination lenders are making is Florius, the largest mortgage specialist in the Netherlands, which wanted to simplify the application process for its customers. To meet this goal, it upgraded its systems to: - Analyze incoming calls and route them to agents with customer-specific knowledge (typically an agent the customer has worked with previously) - Integrate systems for customer contact, CRM, databases, and fulfillment - Retain flexibility for future upgrades with APIs and open architecture. The company did this by upgrading its Avaya Aura solutions for contact center, workforce automation, and collaboration platform (Breeze), which it integrated with its Microsoft Dynamics CRM system. It worked with NTT DATA in consulting, integration, and ongoing managed services to access expertise and upgrades. Another example is when the largest mortgage lender in the U.S. wanted to redesign its customized, manual mortgage origination systems into a highly automated system that would deliver faster processing, lower error rates (significantly lower rejection rates), and greater scalability to address industry cyclicality. Working with WNS, the lender deployed Mozaiq.ai, an intelligent mortgage automation platform, and KnowRa+, an intelligent agent solution, to support the originators. The result was that the lender could reduce time-to-close, reduce costs, and improve CSAT and new business growth. This is just a sample of what lenders are doing to prepare for the anticipated growth in lending. I am starting a global market assessment of operations and technology services in the mortgage and loan industry this month. The *Transforming Mortgage and Loan Services* project will delve deeper into how these initiatives develop, how lenders address the challenges, and how technology services vendors support their clients. The transformation promises to change the underlying lending business model across many geographies, making home and asset ownership accessible to new consumer demographics under more favorable terms than before. *Technology vendors with relevant offerings can [contact me directly](mailto:andy.efstathiou@nelson-hall.com?subject=Transforming%20Mortgage%20&%20Loan%20Services%202025%20project) to participate in this study.* Loan & Mortgage ProcessingBanking-Specific Blog by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) May 9, 2023 ### WNS’ as-a-service Loan Origination Helps Address Cost & Volume Issues ![](https://repo.nelson-hall.com/uploads/1683641577_Andy-WNS%20blog-090523.png) The lending business is highly cyclical due to its sensitivity to interest rates, economic cycles, and capital availability to fund loans. According to the Mortgage Bankers Association, these factors are currently driving down mortgage originations, which have fallen 60% y/y in the U.S. in Q4 2022. The decline in originations pressuring the margins of this high-cost activity is the leading change in the industry. Delinquencies, while currently low, are expected to grow rapidly over the next year as the economy slides into an anticipated recession. Banks need to increase their agility to deal with these volume shifts cost-effectively. There are two key levers to address the shift in processing volumes: - Automation, which enables an absolute reduction in OPEX based on upfront investment - Outsourcing, with committed volume flexibility, enables the matching of revenues and costs. Of the two, the more compelling savings can be made from automation, as long as transaction volumes across the entire business cycle can justify the initial investment. Mortgage origination is a clear first choice for automation because: - The cost of mortgage origination in the U.S. is typically 10x the cost of servicing ($5k to $10k per loan in the U.S. depending on product complexity and lender platform maturity) - Origination remains mostly a manual process. Most Loan Origination Solution (LOS) platforms in the market are providing only partial STP processing, relying mostly on manual sub-processes - Originations are highly cyclical. Lenders and services vendors are trying to address the mortgage origination challenge, and while no single model has won the market, the as-a-service model looks most promising. WNS has developed a mortgage-as-a-service (MaaS) offering, working with mortgage lenders for years, and has identified many typical breaks in legacy processes where processing is manually delivered. Critical to the success of a MaaS offering is bringing the most effective resources to bear at each step of the process. The choices include: - Intelligent Automation of manual processes, where possible - Optimal shoring of processes, where manual processing remains necessary - Flexibility for clients to opt for unit-based pricing model The key steps in the origination process where MaaS transforms processing are: - *Pre-processing and sending initial loan estimate*: after receiving the application, the MaaS delivers an initial loan estimate within three days. All offshore delivery - *Third-party orders*: auto-triggered order checks including flood, credit, verification of employment, verification of deposit, title, mortgage insurance, appraisal, fraud, etc. All offshore delivery - *Document validation*: documents have data extracted and are converted to a digital loan file. Exceptions are handled manually. All offshore delivery - *Conditions management*: decision engine and underwriting, automatically raising conditions for consideration by loan officers. Combined onshore/offshore delivery - *Document reviews*: review and analysis of income, collateral, asset, title, Agreement of Sale, and fraud. Combined onshore/offshore delivery - *Approval*: onshore lender works with the offshore team to approve the loan package. Combined onshore/offshore delivery - *Loan closing*: LE and CD prep of documents; schedule closing with the title company. Combined onshore/offshore delivery - *Transfer to servicing*: digital loan file transfer to servicing platform. All offshore delivery. The backbone of the MaaS offering is a combination of - Smart Workflow platform with integrated APIs to collect third-party information along with inbuilt models for underwriting - Intelligent automation powered by RPA and Artificial Intelligence. The MaaS service integrates with the client LOS platform and digital front end to deliver services to bank customers. Because the offering is modular, clients can buy point solutions to automate individual components of the origination process. Technology is necessary, but not sufficient for successful transformation of the loan operations process. The human element is a critical component of the success of the MaaS offering. The MaaS offering incorporates the development and utilization of talent with a comprehensive understanding of the mortgage process, associated challenges, and parameters of compliance and non-compliance. Initial and ongoing training and examinations in end-to-end loan review including compliance measures are required to continually improve the quality of performance and service levels that complement the areas of automation. WNS’ MaaS offering has been delivering lenders benefits including: - Productivity gains of 3x from automation and global delivery - Customer inquiries and complaints: 50% reduction - Reduction in loan origination costs: 40% - QA/QC processes eligible for automation: 70% - Loan final closure in 15 to 20 days. These benefits are especially compelling as origination volumes decline and a MaaS service connects costs to revenues, allowing for costs to decline as volumes plummet. We expect to see the industry produce more MaaS offerings as the economy continues to shift. Early vendors, such as WNS, will have more mature offerings as lenders shift to outsourced as-a-service operations models. Loan & Mortgage ProcessingBanking-Specific Blog by [Andy Efstathiou](https://reimagine.nelson-hall.com/analysts/13) Oct 10, 2022 ### Data Management & Operational Agility Key to Mortgage & Loan Industry Transformation ![](https://repo.nelson-hall.com/uploads/1665414298_Andy-M&L%20blog-101022.png) In NelsonHall’s recently published market assessment, *Transforming Mortgage and Loan Services*, we found that lenders are changing their approach to mortgage and loan operations from a focus on BPS and integration services to a focus on cloud migration and data management services. The goal for lending institutions today is to be able to support open ecosystem models, new product introductions, and process automation delivered for a wider range of lender types based on cloud-delivered operations. The pace of industry change is increasing, while the industry begins its cyclical shift from a focus on originations to default management services. The shift to cloud and digital-first delivery has expanded the scope of transformation projects as more processes are opened to third-party partners. **The state of digital operations in the lending industry** For the past year, lending institutions have been: - Implementing intelligent automation to reduce manual processing and increase accuracy - Migrating to a hybrid cloud to increase flexibility for new functionality and product time to market - Building data lakes to coordinate data across silos without replacing their entire data structure - Providing customers with self-service tools to reduce the cost of delivery and increase CSAT with faster resolutions. Today, financial institutions anticipate an aggressive decline in originations and increase in lender defaults. This will necessitate downsizing originations and growing default management capabilities. To meet this market shift, over the next year, financial institutions will focus on: - Increased use of consulting and combined ITS/BPS to identify a road map and convert CAPEX to OPEX - Reskilling of origination workers to default processes to scale up default work - Rearchitecting the lending platform to a microservices-based cloud-native application with an architecture that could integrate into their other platforms - Testing and running open banking environments to start building an ecosystem of participants and a library of business models. However, the external environment has put up barriers to transformation. The key barriers impeding the efforts of financial institutions include: - Useful adoption of analytics: new sources of data (especially unstructured data) provide greater opportunities for the use of AI. However, only tier one lenders have access to large internal data pools. Smaller lenders must draw from industry-wide data pools. Smaller markets and product runs present similar issues: developing quality data for analysis remains difficult - Access to emerging technology: all service vendors are building ecosystems for emerging technologies and acquiring staff skilled in relevant technologies. Finding the best new technologies and embedding them in effective platforms remains difficult - New products and markets: lenders are rolling out new loan products rapidly, requiring a response from other lenders in order to remain relevant. The new products require high automation, omnichannel access, and high compliance capabilities - Access to qualified staff: changing technologies change the required mix of staff skills, and distributed work environments (primarily WFH) limits knowledge transfer. Currently, cloud migration, AI, and default management skills are the least available capabilities. **Rising to the challenge** To address these challenges successfully, lending institutions need to focus on two activities: strategy and process execution. Key factors in **strategy** include: - Creating a roadmap to move operations to the cloud and match costs to revenues, as origination volumes decline and collections volumes grow - Changing the operational model: M&L managers need to shift from operational leverage to leveraging agility (the ability to cost-effectively switch out workloads). This requires increased process discovery to identify processes for automation. The business model needs to support an open banking environment - Building an ecosystem of operations vendors with domain knowledge and experience with clients’ operations environments, vendors with complementary digital skills to deliver services, and the ability to work within client operational practices and transfer knowledge. Key factors in **process execution** include: - In the short term, staff training to renovate skills for cyclical issues (i.e., default management) and technology (FinTech, cloud, and IA) - Preferred services vendors should have the widest pool of Fintech solution providers supporting them - Data management and orchestration drive accuracy, efficiency, and compliance. Lenders need to build COEs and libraries of successful RPA and data management use cases - Transforming application development to a DevOps and low/no code model to speed the innovation cycle and migrate to cloud delivery - Orchestration: selection and implementation of orchestration tools to manage a heterogeneous system of (open banking) M&L services vendors and lending products. In summary, lending institutions are changing their goals from improving process efficiency for originations to increasing operational agility across sub-processes and ramping up collections capabilities. Margin pressure is too strong for lenders to achieve their business goals with just operational efficiency enhancements. Lenders need to change their business models (from closed platform/static product offerings to open platform/evolving product lines) to enable them to access best practice, best-cost services on-demand, to drive their operational performance. Loan & Mortgage ProcessingBanking-Specific ## Mortgage and LoanContract Database Track the pattern of service adoption by monitoring Mortgage and Loan contract awards by your peers. Identify who are the successful vendors in this industry now. Updated monthly! \*These documents are available to logged in clients that have purchased access to this Programs. This is complemented by NelsonHall’s Self-Service Forecast Tool which provides breakdowns across 39 geographies and 39 industry sectors.
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