Credit analysts manually reviewing every loan application because the underwriting decision engine can't apply the credit policy automatically to the volume of applications coming through the funnel?
Arrears management and collections handled from spreadsheets because the loan management system has no structured workflow for managing delinquent accounts through to resolution?
Lending and Loan Management Software Development
Off-the-shelf loan management platforms handle the standard consumer loan lifecycle well. Custom becomes the right choice when your credit model, your product structure, your affordability assessment approach, or your investor reporting requirements are specific enough that a standard platform's configuration layer can't model them cleanly.
We build lending platforms for consumer and SME lenders whose underwriting logic, loan product terms, or funding structure requires a system built around their credit policy rather than adapted to fit a generic loan management platform.
Loan origination with application intake, credit bureau integration, and open banking affordability assessment connected to a configurable underwriting decision engine
Automated underwriting decisions for applications within the automated appetite, with referral routing to credit analysts for exceptions
Loan servicing with repayment schedule management, payment processing, early settlement calculations, and transaction history
Arrears management with payment failure handling, collections workflow, forbearance, and investor and regulatory reporting
RaftLabs builds custom lending and loan management software for consumer lenders, SME lenders, BNPL platforms, and specialist finance businesses who need loan origination, an automated underwriting decision engine, open banking affordability assessment, loan servicing, arrears management, and portfolio reporting built around their specific credit model. Most lending software projects deliver in 12 to 18 weeks at a fixed, agreed cost.
100+Software products shipped
·FixedCost delivery
·12-18Week delivery cycles
·24+Industries served
When the credit model needs to be the system, not the workaround
Most lending technology problems are not application intake problems. Collecting the applicant's information through a well-designed form is the part that any capable development team can build. The problem is what happens next -- applying the lender's credit policy consistently and at scale to make an automated decision, pulling credit bureau data and open banking transaction history in real time to assess affordability, and routing exceptions to a credit analyst with the right information presented for a manual decision. These are credit risk management problems, and the system has to encode the lender's credit policy in a way that is auditable, adjustable, and consistent with FCA responsible lending obligations.
We build lending platforms for consumer lenders who need to automate underwriting decisions without sacrificing credit quality, for SME lenders whose credit model is too complex for a standard platform's decision engine configurator, for buy-now-pay-later businesses whose product structure -- instalment loans, deferred payment, revolving credit -- requires a custom loan management model, and for specialist finance businesses whose funder or investor reporting requirements don't fit a standard platform's reporting module. The credit policy logic, the affordability model, and the loan product terms are specified during discovery before any development begins.
What we build
Loan origination and application intake
Loan application form collecting the information required to assess the credit application -- the applicant's personal and financial details, the loan amount and purpose, and any product-specific information -- in a multi-step flow that validates each section before allowing the applicant to proceed to the next. Pre-qualification assessment running a soft credit check and a preliminary affordability calculation before the full application is submitted, presenting the applicant with an indicative decision and terms before they complete the full application and consent to a hard credit search. Application tracking giving the applicant and the credit team visibility of the application's status throughout the assessment process -- received, in assessment, referred for manual review, approved, or declined -- with the application reference and the next steps communicated to the applicant at each stage. Document collection for applications requiring supporting evidence -- payslips, bank statements, identification documents -- with automated requests sent to the applicant and the documents stored against the application record. Duplicate application detection checking new applications against the existing application and loan database to identify applicants who have already applied or who have an existing loan balance that affects the affordability assessment for the new application.
Automated underwriting decision engine
Underwriting decision engine executing the lender's credit policy against each application -- the credit score threshold, the debt-to-income ratio limit, the minimum employment tenure, the maximum loan-to-value, and any product-specific eligibility criteria -- producing an automated accept, decline, or refer decision for each application. Credit bureau integration pulling the applicant's credit file from Experian, Equifax, or TransUnion in real time at the point of assessment, with the bureau data extracted and mapped to the decision engine's input variables. Decision logic management allowing the credit risk team to update decision rules, adjust thresholds, and add new criteria through a configuration interface without developer involvement, with each change versioned and the effective date controlled. Scorecard integration applying a custom credit scorecard to each application alongside the rules-based policy, with the score contributing to the automated decision or the referral trigger depending on the product's underwriting model. Decision audit trail recording the input data, the rules applied, the bureau data used, and the decision produced for every application -- the documentation required for FCA responsible lending evidence and for credit risk model validation.
Open banking affordability assessment
Open banking connection requesting the applicant's consent to share their bank transaction history through the FCA-regulated open banking connection, with the connection process designed to minimise drop-off at the consent step. Transaction analysis categorising the applicant's incoming and outgoing transactions by type -- salary credits, rent payments, utility bills, credit commitments, and discretionary spending -- to produce an affordability assessment based on actual financial behaviour rather than stated income and expenditure. Income verification confirming the applicant's stated income against the salary credits appearing in the bank transaction history, with the assessment flagging discrepancies between the stated income and the transaction data. Committed expenditure calculation identifying the applicant's existing credit commitments from their transaction history -- loan repayments, credit card minimum payments, and BNPL instalments -- and including them in the debt-to-income assessment alongside the new loan's proposed repayment. Affordability evidence storage retaining the open banking data and the affordability calculation for the regulatory evidence period, with the data held in the application record and accessible for FCA review or complaint investigation.
Loan servicing and repayment management
Repayment schedule generation producing the full amortisation schedule at loan origination -- the repayment amount, the interest component, the principal reduction, and the outstanding balance at each scheduled repayment date -- calculated from the loan terms and presented to the borrower as part of the pre-contractual information. Payment collection processing scheduled repayments by direct debit on the due date, with the payment posted to the loan ledger and the outstanding balance reduced by the principal component of the repayment. Transaction history maintaining a full ledger of every payment, interest charge, fee, and balance adjustment against each loan from origination through to settlement, with the transaction date, the amount, and the running balance recorded for each entry. Early settlement calculation computing the settlement figure for a borrower who wants to repay the loan before the scheduled end date, applying the settlement rebate under the product's early settlement terms and confirming the settlement amount to the borrower before collecting the payment. Interest accrual calculating and posting daily interest accrual to the loan ledger, with the method -- simple interest, compound interest, or daily reducing balance -- configured per product and the accrual posted at the frequency required by the product's accounting treatment.
Arrears management and collections
Payment failure handling detecting a direct debit failure on the repayment due date, updating the loan's arrears status, and triggering the configured arrears management workflow -- the re-presentation of the direct debit, the communication to the borrower, and the escalation to the collections team if the payment remains unpaid after the re-presentation window. Arrears staging moving each delinquent loan through the arrears stages configured in the product -- from the first missed payment through to the stage that triggers formal collections action -- with the stage transition recording the days in arrears, the outstanding arrears amount, and the collections action taken at each stage. Forbearance and payment arrangement management for borrowers in financial difficulty, recording the forbearance agreement -- the reduced payment, the payment holiday, or the extended term -- against the loan and generating the revised repayment schedule from the arrangement date. Collections workflow assigning delinquent accounts to the collections team with the account history, the arrears amount, the previous contact attempts, and the recommended next action presented to the agent at the point of assignment. FCA regulatory forbearance reporting producing the data required for the FCA's regulatory returns on arrears and forbearance, including the number of accounts in each arrears stage, the forbearance arrangements in place, and the outcomes of completed forbearance arrangements.
Investor reporting and portfolio analytics
Loan portfolio dashboard showing the key metrics for the current book: the outstanding principal balance, the weighted average interest rate, the arrears rate by arrears stage, the average loan age, and the expected maturity profile -- updated from the live loan data rather than from a periodic batch report. Investor and funder reporting producing the data pack required by the funding facility or the ABS investor -- the pool-level statistics, the individual loan data tape, the credit performance metrics, and the covenant compliance data -- at the reporting frequency specified in the facility agreement. Vintage analysis showing the credit performance of each loan cohort -- the origination month, the arrears development, the cumulative default rate, and the recovery rate -- over time, giving the credit risk team the data needed to assess whether the credit model is performing as expected. Prepayment and churn analysis showing the rate at which borrowers are repaying early, the characteristics of the borrowers who prepay, and the impact of prepayment on the portfolio's expected return. Regulatory capital reporting for FCA-regulated lenders, producing the exposure data required for the Consumer Credit sourcebook reporting obligations in the required format and at the required frequency.
Frequently asked questions
Standard loan management platforms handle straightforward consumer loan products well. Custom becomes right when the credit model requires decision logic the platform's rules engine can't configure, when the product structure -- instalment credit, revolving credit, BNPL, or invoice finance -- doesn't fit the platform's loan data model, when the open banking affordability workflow needs to be integrated with the underwriting decision rather than run as a separate manual process, or when the investor or funder reporting requires a data structure the platform's reporting module doesn't produce. We'll tell you honestly if a configured platform would cover the requirement.
We integrate with Experian, Equifax, and TransUnion through their decisioning APIs, pulling the credit file at the point of application assessment and mapping the bureau data fields to the input variables of the decision engine. The specific data fields pulled -- score, search history, delinquency history, open credit commitments -- are configured during discovery based on the credit policy's requirements. For lenders using a custom scorecard, we integrate the scorecard model as a component of the decision engine alongside the rules-based policy checks.
FCA responsible lending obligations require the lender to assess affordability, to document the basis for the credit decision, and to treat customers in arrears fairly. The underwriting decision engine records the full assessment -- the input data, the rules applied, the bureau data used, and the decision produced -- as the audit trail for the responsible lending evidence. The affordability assessment methodology, the income and expenditure categories, and the income verification approach are specified during discovery and built into the system in line with the FCA's affordability guidance. Forbearance and arrears management workflows are designed to meet the FCA's requirements for fair treatment of customers in financial difficulty.
A lending platform covering loan origination, an automated decision engine with credit bureau integration, and basic loan servicing typically runs $50,000 to $100,000 depending on the complexity of the credit model and the product structure. Adding open banking affordability, arrears management, and investor reporting typically brings the total to $90,000 to $160,000. Fixed cost agreed before development starts.
Tell us your loan product, your credit model, and where your current underwriting or servicing process relies on manual steps. We'll scope a lending platform built around your actual credit policy.