Product Design Workshopping · Prototype

Financial Health Record for Advisors
"MyChart for Finance"

A centralized financial health record that aggregates client data, documents, and AI-generated insights into a single advisor interface — built on GraphRAG for structured querying across unstructured financial data.

Role Founder / Product Designer
Status Prototype
Year 2026
WealthTechData PlatformsRAGAdvisor Tools

Problem

Financial advisors operate across fragmented systems — documents, client portfolios, compliance notes, and communication histories are scattered across CRMs, custodians, email, and local drives. Getting a unified view of a client's financial health requires manual aggregation that slows down every client interaction.

Core user insight

"I have all the information about my client — but it's spread across too many systems to act quickly."

Opportunity

Build a centralized financial health record — the advisor's equivalent of a clinical chart — that aggregates client data, documents, and AI-generated insights into a single interface. Advisors query it naturally; the system surfaces what matters.

Design Decisions

GraphRAG for structured financial document querying

Standard vector RAG loses relationship context in financial documents — who owns what, under which account, held at which custodian. GraphRAG preserves these entity relationships, enabling queries like "show me all assets this client holds across custodians with maturity dates under 12 months" rather than simple keyword retrieval.

Dual interface: advisor dashboard + client portal

Advisors need a high-density information view. Clients need a simple, transparent window into what the advisor sees. Building both from a shared data model ensures consistency while allowing each interface to be optimized for its user's mental model and trust level.

Insights and summaries over raw data views

The design prioritizes synthesized insight over data tables. An advisor shouldn't have to read every document to understand a client's position — the system should surface the summary, flag the anomalies, and let the advisor drill down only when needed.

Trade-offs

What we gain

  • Unified client view across all systems
  • Faster advisor decision-making
  • Improved client experience through transparency
  • AI-assisted querying across unstructured documents

What we give up

  • Data ingestion complexity — each system integrates differently
  • Reliance on structured, quality inputs
  • Initial setup overhead per advisor/client

Opportunity Cost Evaluation

Building deep integrations with all financial systems before launch would delay time-to-value significantly. Starting with document ingestion and structured uploads provides an immediately useful product for advisors while the integration layer is built out incrementally.

What we're explicitly not doing

Full portfolio management. Trading execution. Complex financial planning tools. The focus is visibility and insight, not execution. Adding execution would shift the product into a different regulatory and liability category before the core value is proven.

Success Metrics

What's Next