An AI-powered tax strategy agent
for high-net-worth clients

High-net-worth clients face tax situations too complex for generic software and too fast-moving for once-a-year advisor meetings. This prototype shows how an AI agent can fill that gap — instantly matching a client's specific life and financial situation, depicted in a prior year's tax return, against a curated playbook of 111 proven tax strategies to surface recommendations that would otherwise take hours to produce. This product is envisioned as an in-house productivity tool for the tax advisor in a Virtual Family Office (VFO). Sensitive client data stays within the VFO. For more details, see the Product Discovery tab. In this product, the Master Tax Strategy Playbook will be proprietary to the VFO and thus will be its competitive advantage.

Built on n8n, Pinecone, and OpenAI. Client tax return data is retrieved from Google Drive, embedded using text-embedding-3-small, and matched against a 111-strategy vector database via semantic search. An LLM-based intent router (gpt-4o-mini) classifies each query and routes it to the appropriate analysis pipeline, returning advisor-grade recommendations in a conversational interface. Five simulated HNW client personas are pre-loaded for the demo. For more details, see the Architecture tab.