Investor Reporting | Finance Automation

Back to Case Studies

Finance

Automated Quarterly Reporting Engine

Zero-touch preparation of investor reports with automated data ingestion and AI narrative generation.

Finance automation case study featuring reporting and ai implementation.

3 weeks → 4 hours

Report Production

Audit-Ready

Quality

Strategy over Admin

Advisor Focus

Overview

A multi-family office created custom quarterly reports for 60+ high-net-worth families — fully manually. The automated system reduced report production from 3 weeks to 4 hours while ensuring audit-ready quality.

Business Context

The multi-family office served ultra-high-net-worth families with complex, multi-generational wealth structures spanning public securities, private equity, real estate, hedge funds, art collections, and operating businesses. Each quarterly report required aggregating data from multiple custodians, banks, private investment managers, real estate managers, and alternative asset administrators — often 15+ data sources per family — then presenting this information in customized formats that matched each family's preferences, priorities, and the specific questions their CFOs and family governance committees wanted answered. The reporting process consumed the entire advisory team for three weeks every quarter, with senior advisors spending nights and weekends on spreadsheet consolidation instead of client service. Client satisfaction was declining as reports arrived later each quarter, sometimes missing board meeting deadlines, and the firm couldn't take on new families without adding proportional headcount that would erode their boutique positioning and economics.

How We Built It

We designed a comprehensive reporting automation platform starting with a central portfolio data model that unifies holdings across all asset classes, custodians, and currencies with proper handling for the complexity of private investment structures including capital calls, distributions, and NAV updates. Automated ingestion pipelines connect to major custodians like Schwab, Fidelity, and Goldman via API, parse bank and brokerage statements using AI document extraction for institutions without API access, and integrate with private investment tracking systems like Addepar and Archway through custom connectors. For alternative assets without digital reporting, the system accepts manual uploads with validation rules that ensure data quality and flag inconsistencies. The computational engine calculates returns using time-weighted and money-weighted methodologies appropriate to each asset class, handles the complexity of private investment IRR calculations with irregular cash flows, produces allocation breakdowns across multiple dimensions (asset class, geography, sector, liquidity, vintage year, manager), and computes risk metrics including volatility, concentration, correlation, and benchmark comparisons against appropriate indices. The AI narrative generator produces market commentary tailored to each family's holdings, explains significant allocation changes and their impact on portfolio risk, highlights upcoming liquidity events and capital call projections, and summarizes performance attribution — all customized to each family's communication preferences and the level of detail their governance structure requires. An approval workflow allows advisors to review, edit, and approve generated content before distribution, with version tracking and comparison tools. The final report generator produces polished PDF documents with consistent branding, custom visualizations, comparative benchmarks, and personalized cover letters addressing specific family circumstances. A secure delivery system distributes reports through encrypted channels with tracking to confirm receipt, and maintains a complete archive accessible to family members and their advisors.

Challenges

Dozens of data sources (custodians, banks, private investments)

Manual spreadsheets for performance, risk, allocation

Advisors writing narratives manually

Missing or outdated documents delaying production

What We Delivered

Central portfolio data model

Automated ingestion from custodians (Plaid, bank APIs, statements)

Computational engine calculating returns, allocation, volatility

Narrative generator producing market performance, allocation changes, risk updates

Approval workflow for advisors

Report export to PDF

Tech Stack

Python ingestion, PostgreSQL, Datastax vector store, OpenAI RAG, React dashboards, Google Cloud

Results

3 weeks → 4 hours

Report Production

Audit-Ready

Quality

Strategy over Admin

Advisor Focus

Strategic Impact

The transformation from three weeks to four hours freed advisory teams to focus on strategic planning, tax optimization, estate planning, and family governance consulting — the high-value services that differentiate the firm and justify premium fees. Report quality actually improved because the automated calculations eliminated the spreadsheet errors that previously required correction and occasionally caused client embarrassment when discovered after distribution. Clients receive reports faster and more consistently, improving satisfaction scores by over 35% in post-report surveys. The firm has been able to grow their client base by 40% without adding reporting staff, fundamentally changing their unit economics and enabling expansion into serving families with more complex structures that they previously would have declined. The data infrastructure created for reporting also powers real-time dashboards that clients can access between reports, providing continuous transparency into their wealth and reducing the volume of ad-hoc data requests that previously interrupted advisor schedules. Advisors can now answer client questions instantly during calls by querying the centralized data rather than promising to research and call back, dramatically improving client perception of service quality. The audit trail and calculation methodology documentation satisfies the scrutiny of family offices, CPAs, estate attorneys, and trust company co-trustees who review the reports, and has simplified the due diligence process when families consider adding the firm as an advisor. Several new client engagements have specifically cited the reporting capabilities as a key differentiator in their selection process.