Personal Finance App Development

Open banking connection through a regulated FCA-authorised AISP, giving users the ability to connect accounts from 50+ UK banks and major European institutions to the app in a few steps without sharing their banking credentials. Account connection flow designed to minimise drop-off at the consent step -- the bank selection, the redirect to the bank's SCA authentication, and the return to the app -- with the connection confirmed and the first data pull initiated immediately after consent. Transaction data retrieval pulling the transaction history, the current balance, and the account details from each connected account, with the data normalised across the different account types and bank data formats into a consistent data model within the app. Multi-account view showing the user's balances and recent transactions across all connected accounts in a single view, with the total across all accounts and the change from the previous period shown at the portfolio level. Consent management displaying each active account connection to the user with the permission scope, the expiry date, and the option to disconnect, in compliance with the Open Banking Standard's consent management requirements.

Automated transaction categorisation applying the category taxonomy to each incoming transaction using the transaction description, the merchant identifier, and any available merchant category code to assign each transaction to the correct category without user input. Custom category taxonomy defined for the target audience -- the categories that are meaningful for the specific user group, not a generic taxonomy that creates categories most users never use. Merchant enrichment cleaning and enriching the raw transaction description -- replacing payment reference strings like "VIS4822 AMZN" with "Amazon" -- and adding the merchant's logo for display in the transaction history. User category correction allowing users to reassign a transaction to a different category from the assigned one, with the correction stored and applied to future transactions from the same merchant. Recurring transaction identification flagging transactions that appear at the same amount and frequency -- subscriptions, direct debits, and regular transfers -- separately from one-off spending so the user can see their committed expenditure alongside their discretionary spending.

Budget setup allowing users to set a monthly spending limit for each category -- the dining budget, the entertainment budget, the transport budget -- with the budget configured in the app and the spending tracked against it in real time as transactions are categorised. Budget progress display showing each category budget alongside the amount spent to date and the amount remaining, with a visual indicator of the pace of spending relative to the point in the month to identify categories where spending is tracking ahead of the budget. Spending alert configuration allowing users to set alerts at a configured percentage of the budget -- notify me when I have spent 80% of my dining budget -- with push notifications sent to the device when the threshold is reached. Merchant-level spending tracking showing the user their total spending with each merchant over the selected period, so they can see their cumulative spend at a subscription service, a supermarket, or a delivery platform without adding it up from individual transactions. Year-on-year comparison showing the user how their spending in each category compares to the same period in the previous year, identifying whether costs are increasing, decreasing, or stable across each area of their spending.

Savings goal creation allowing users to set a savings target -- a holiday, a house deposit, a car, an emergency fund -- with the target amount and the target date entered, and the monthly saving required to reach the target calculated automatically. Goal progress tracking showing the current balance accumulated towards each goal, the percentage of the target reached, and the months remaining to the target date given the current monthly contribution rate. Automated savings rules transferring a configured amount to the savings goal at a configured frequency -- weekly, fortnightly, or monthly -- reducing the reliance on the user remembering to save manually and increasing the consistency of saving behaviour. Round-up savings collecting the round-up from each transaction to the nearest pound and accumulating the round-ups towards a savings goal, with the accumulated round-ups shown to the user as a savings behaviour they are doing passively. Goal adjustment allowing users to modify the target amount, the target date, or the monthly contribution as their financial circumstances change, with the revised plan recalculated and the impact on the target date shown immediately.

Spending breakdown presenting the user's spending for the selected period as a category breakdown -- the proportion of total spending in each category, the category total, and the change from the previous period -- giving the user a view of where their money goes without requiring them to add up individual transactions. Income and expenditure summary showing the user's total income and total spending for each month, the net surplus or deficit, and the trend over the previous twelve months to identify whether their financial position is improving or deteriorating. Merchant insights showing the user their top spending merchants ranked by total spend over the period, so they can identify the businesses that account for the most money leaving their account. Financial health score synthesising the user's account balance trend, the savings rate, the spending relative to income, and any credit commitments into a simple indicator of financial health, with the component factors shown so the user understands what drives the score. Personalised insights surfacing specific observations from the user's financial data -- a subscription price increase, a higher-than-usual grocery spend this month, a bill that is due based on the previous month's pattern -- as timely nudges rather than requiring the user to analyse the data themselves.

Credit score display showing the user their current credit score from a credit reference agency -- Experian, Equifax, or TransUnion -- updated at the configured frequency, with the score history shown over time and the factors currently affecting the score explained in plain language. Credit improvement recommendations showing the actions the user can take to improve their score -- reducing their credit utilisation, registering on the electoral roll, correcting errors on the credit file -- with each recommendation linked to the relevant action or resource. Debt overview aggregating the user's credit commitments visible through open banking -- credit card balances, loan repayments, and BNPL instalments -- into a single view with the total outstanding balance, the minimum monthly payments, and the estimated time to pay off each commitment at the current repayment rate. Debt payoff planning allowing the user to model different repayment strategies -- paying off the highest-rate debt first, splitting extra payments equally across all debts -- and showing the impact on total interest paid and the payoff timeline. Credit report access providing the user with a summary of the negative markers on their credit report -- late payments, defaults, CCJs -- and the date on which each marker will expire from the credit file.