Example: Mortgage and Financial Pre Qualification Flow
1. Fetching and confirming existing customer data
1. Fetching and confirming existing customer data
The flow can begin by pulling details such as name, address, and email from the lender’s CRM. Customers then review this information and make corrections if needed. This prevents duplicate data entry and ensures the assessment is based on accurate and up to date information.
2. Gathering personal and household information
2. Gathering personal and household information
Customers provide details about their civil status, employment, and any dependents. If there are children in the household, the flow automatically collects their ages to calculate budget requirements. This adaptive structure ensures the flow remains relevant regardless of household complexity.
3. Capturing income and debt details
3. Capturing income and debt details
The flow collects salary information, additional income sources, car loans, student loans, consumer loans, and any other commitments. These inputs are used to calculate annual income and total non housing debt. This creates a complete picture of the customer’s financial situation.
4. Calculating disposable income with a guided budget tool
4. Calculating disposable income with a guided budget tool
Customers can either enter their disposable income manually or use a built in budget calculator. The calculator collects itemised income and expenses to create a precise and consistent disposable income figure. This makes the assessment easier for customers and more reliable for lenders.
5. Including verified pension and financial data
5. Including verified pension and financial data
If needed, the flow can fetch pension information through secure authentication. This provides an additional financial layer for more accurate assessments and helps lenders offer more personalised guidance.
6. Reviewing the customer's current housing and equity
6. Reviewing the customer's current housing and equity
The flow gathers information about the customer’s current home, outstanding loans, and whether the property will be sold. Equity, savings, and investments are combined to calculate available capital for the new purchase. This creates a foundation for evaluating what the customer can afford.
7. Entering new property details and loan expectations
7. Entering new property details and loan expectations
Customers enter the estimated purchase price of the new home and select a preferred loan to value percentage using an interactive slider. This allows the system to calculate the expected loan amount and provide immediate clarity for the applicant.
8. Calculating key lending metrics
8. Calculating key lending metrics
A set of variables and formulas evaluate:
- Annual income
- Total debt
- Debt factor
- New loan amount
- Required disposable income based on household size
- Whether the customer meets these minimums
9. Applying lender specific eligibility rules
9. Applying lender specific eligibility rules
A decision point evaluates whether the applicant meets the lender’s criteria. Examples include:
- Whether a co applicant still needs to provide information
- Whether the debt factor exceeds the maximum allowed threshold
- Whether the disposable income is below the required minimum
10. Generating and displaying the loan certificate
10. Generating and displaying the loan certificate
For approved customers, the flow generates a personalised PDF loan certificate using the collected data and calculated variables. This document can be downloaded and used immediately during the home buying process.
11. Syncing data automatically
11. Syncing data automatically
Regardless of outcome, the flow sends all updated information back to the CRM so lenders have a complete and consistent record. This eliminates manual data entry and keeps all systems aligned.

