Summary
Smart Insights are generated by analyzing your transaction data using AI, predefined query logic, and patterns in your financial behavior.
How This Works in Nance
Smart Insights are created by combining your financial data + AI processing + structured query logic to surface meaningful answers.
1. Data Collection
- Nance gathers data from:
- Bank accounts
- Credit cards
- Cash transactions (if added manually)
- Data is kept updated through the automatic refresh system:
- 31 scheduled refreshes
- 14 triggered refreshes
2. Data Structuring
- Transactions are:
- Categorized
- Tagged with time, account, and payment channel
- This structured data becomes the foundation for generating insights
3. Predefined Insight Logic
- Nance has built-in query templates (insight types), such as:
- Spending summaries
- Category breakdowns
- Budget checks
- Trend comparisons
- These templates define how data should be analyzed
4. AI Processing
- When you ask a question (voice or text), Nance:
- Interprets your query
- Maps it to the closest insight logic
- Processes your data to generate a response
5. Personalized Output
- The final insight is:
- Based on your actual transactions
- Adjusted to your time range, categories, and behavior
- Results are shown as:
- Summaries
- Breakdowns
- Contextual explanations
Important to Know
- Requires at least one connected bank account
- Accuracy depends on:
- Categorization quality
- Latest synced data
- Works across all transaction types
It’s not generic analysis.
It’s your data, turned into answers.