Nance uses automated systems, machine learning models, and AI-assisted tooling to support features such as transaction categorization, merchant normalization, spending summaries, suggested insights, comparisons, budgeting assistance, grouping support, and conversational responses through Nancy.
To enable these features, we may process your transaction data, SMS-derived and email-derived financial signals, prompts, typed questions, voice inputs, correction history, budgets, goals, and preferences. This may be necessary to answer your questions, surface personalized insights, trigger supported actions, and improve the consistency of the user experience.
Some outputs are generated probabilistically or through rules plus AI and may be incomplete or inaccurate. We therefore treat many outputs as assistive and user-facing rather than as independently verified official financial records.
Where permitted by law, we may use aggregated, statistical, or de-identified information to improve service quality, model routing, system reliability, and product analytics. Where we use third-party AI API providers, their systems may temporarily process prompts, context, and outputs to provide inference or meet safety and abuse-prevention obligations.
When Google user data is processed by AI-assisted functionality, such processing is performed only to provide a user-facing Nance feature requested or used by the user, such as transaction extraction, transaction categorization, financial summaries, financial insights, or related financial assistance.
Google user data obtained through Google APIs is not used to train, develop, or improve generalized, foundational, or non-personalized AI or machine learning models.
Google user data, including raw email content and information derived from that content, is not used to create a general-purpose training dataset or to improve AI models for other users.
Where an AI service provider processes Google-derived data on Nance’s behalf, the processing is limited to providing the relevant Nance functionality and is subject to applicable contractual, confidentiality, security, and data-protection requirements.