Summary
The AI may not answer your question if it lacks sufficient data, the query is unclear, or the request is outside its supported capabilities.
Why This Happens
The AI in Nance is designed to answer questions based on your financial data and supported query types. Some limitations can prevent it from responding.
1. Insufficient Data
If your accounts don’t have enough transaction history or relevant data, the AI may not be able to generate a meaningful answer.
2. Unclear or Vague Query
Questions that are too broad or lack specific context (e.g., time range, category, or account) may not be understood correctly.
3. Unsupported Query Type
Nance AI focuses on financial insights, transactions, budgets, and reports.
Questions outside this scope may not return a response.
4. Temporary System Limitations
There may be short periods where the AI cannot process certain queries due to system constraints or internal errors.
How This Works in Nance
- AI responses are generated based on your synced financial data
- Queries work best when they are specific (e.g., “How much did I spend on food this month?”)
- The system interprets intent and maps it to available data before responding
Important to Know
- Make your questions specific and context-rich for better results
- Ensure your accounts are properly synced and up to date
- The AI is optimized for finance-related queries within Nance
- Most issues are resolved by rephrasing the question
If a question isn’t answered, try simplifying or adding more context to guide the AI.