The launch build of the Finn platform would have to encompass a variety of features to truly be considered market-ready. The following is a comprehensive view of a potential MVP build of Finn Chat.
Decision tree-based onboarding: Users can ask financial questions and be guided through a decision tree of prepared questions and answers generated by ChatGPT. The decision tree is designed to help users understand their financial situation and make informed decisions. This would also guide users to the appropriate chat rooms or professionals as needed.
Natural Language Processing (NLP): ChatGPT’s NLP would most likely drive the core conversational features of the Finn Chat platform, as this is what allows users to have a more conversational experience. ChatGPT would be used to understand the user's intent and provide relevant financial advice.
Pre-trained models: Finn Chat would also have pre-trained models on financial data to provide more accurate and relevant advice to users. We would have to procure data models across relevant topics, but as mentioned earlier, segmentation would facilitate rapid training and marketability.
Fine-tuning: The platform allows users to fine-tune the model on a smaller dataset of financial data to improve its performance on financial advice. This feature can be geared towards larger, highly specific accounts. It’s always nice to have an on-call human representative, but on-demand access to an AI tool designed to specifically assist a single client could prove to be highly useful.
Integration with other tools: Finn Chat would be designed to be seamlessly integrated into other financial tools across a variety of existing systems and tech stacks. Financial institutions and banks may adopt Finn Chat to supplement customer-facing features such as calculators, budgeting apps, and other financial management platforms to provide more comprehensive financial advice.
Multi-user support: Users can invite other people, such as their spouses or business partners, to the chat and view previous conversations. Users can also have separate channels for different topics such as home loans, saving, investing, and credit.
Bank integration: Users can link their bank account to the platform and view their balance and transaction history to aid in decision making.
Live support: If users still have questions, they can be connected to a financial specialist who can view previous conversations to better assist them.
Security: The platform would have a secure messaging experience for families to better understand their financial scenarios and engage with financial professionals from their bank.