
SpeedMVPs built an AI lending copilot on Next.js and FastAPI that ingests bank statement PDFs, bureau XML feeds, and GST JSON via an async pipeline, then uses GPT-4o with structured outputs to generate a credit memo, risk score (0–100), and recommended loan terms in under 5 minutes. The system integrates with Salesforce via REST webhooks, stores decisioning rationale in pgvector for audit trails, and surfaces a React dashboard where analysts review, override, or approve AI recommendations before any customer communication.
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SpeedMVPs built a Gmail-integrated AI email copilot using GPT-4o with RAG over the team's HubSpot CRM and historical email corpus, surfacing deal context and suggested replies inline. The product shipped as a Chrome extension backed by a Next.js API layer on Vercel, with pgvector on Supabase for thread-level semantic search and a fine-tuned tone classifier to match each rep's writing style.
SpeedMVPs delivered a React Native + Next.js expense tracking MVP in 3 weeks, integrating Google Vision API for OCR receipt extraction and a fine-tuned GPT-4o classification layer that maps line items to 48 merchant categories with 94% accuracy. The backend runs on Supabase (pgvector for semantic search across past expenses) with a real-time insights dashboard surfacing weekly spend anomalies via a lightweight RAG pipeline — all deployed on Vercel Edge with a Plaid integration for bank-feed reconciliation.
Imagine an oracle not perched atop an ancient temple, but embedded invisibly in your bank's digital backbone—a predictive AI MVP that reads the future of each customer's financial needs with uncanny precision. This oracle doesn't mystify but demystifies money management by delivering hyper-personalized banking experiences, swiftly built and scaled in just three weeks.
How to build a fintech AI MVP in 2026 — the highest-value use cases (fraud, risk, copilots), the compliance you cannot skip (SOC 2, PCI DSS, KYC/AML), the right stack, and how to scope a 2-3 week build.
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