Summary
The AI in Nance uses your transaction data, categories, and patterns to analyze your finances and generate accurate, personalized answers to your questions.
How This Works in Nance
The AI follows a structured flow: data → processing → answer.
1. Data Collection
- Nance gathers data from:
- Bank accounts
- Credit cards
- Cash transactions (if added manually)
- Data is continuously updated through the automatic refresh system
2. Data Structuring
- Transactions are:
- Categorized
- Tagged with:
- Date and time
- Account
- Payment channel
- This structured format allows the AI to query data efficiently
3. Query Understanding
- When you ask a question (voice or text):
- The AI interprets:
- Intent (e.g., spending, income, budget)
- Filters (time range, category, account)
- The AI interprets:
4. Data Analysis
- The AI searches across your data to:
- Calculate totals
- Generate breakdowns
- Identify patterns and trends
5. Response Generation
- The AI returns:
- Clear summaries
- Detailed breakdowns
- Contextual insights
All based on your actual financial data
Important to Know
- Requires at least one connected bank account
- Accuracy depends on:
- Categorization quality
- Latest synced data
- The AI has read-only access—it cannot make transactions
Your data stays yours.
The AI just makes sense of it.