Example: Emergency Fund Planner
1. Collecting the customer's financial basics
1. Collecting the customer's financial basics
The flow starts by asking for the customer’s monthly income, existing savings, and the timeline they want to reach their goal. Customers also enter their location so that the system can use the appropriate inflation context. This creates the foundation for a personalised savings plan.
2. Calculating a tailored emergency fund target
2. Calculating a tailored emergency fund target
Using the inputs provided, the system calculates:
- A savings target based on income
- The remaining gap between the target and current savings
- How much the customer needs to save each month to reach the goal
- An inflation adjusted buffer that keeps the savings plan realistic
3. Presenting results in a simple and supportive way
3. Presenting results in a simple and supportive way
The flow then displays a clear summary that explains what the customer needs, how long it will take, and which actions can help them stay on track. The experience is designed to be accessible for all financial literacy levels, strengthening trust and engagement.
4. Enhancing accuracy with live data and models
4. Enhancing accuracy with live data and models
Where possible, the flow uses external data sources to make its guidance more relevant. A webhook can retrieve inflation rates based on the customer’s region, and internal financial models can provide baseline calculations. This ensures recommendations feel personalised and up to date.
5. Encouraging follow up and deeper engagement
5. Encouraging follow up and deeper engagement
Customers can leave their email to receive a personalised PDF summary, allowing the bank to re engage them later with additional tools and advice. If they choose not to share an email, the flow simply concludes and redirects them to continue browsing.
6. A clear finish and smooth handover
6. A clear finish and smooth handover
The final message confirms that the plan is complete and encourages the customer to take their next step. For the bank, the interaction becomes a starting point for personalised financial coaching, automated nudges, or product recommendations that match the customer’s needs.

