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Case Study

How a Midtown Finance Firm Cut Reconciliation Time by 80%

A 40-person wealth management firm deployed RPA + AI to automate nightly reconciliation across 3 custodians.

AI AutoMationNY TeamJul 20, 20267 min read

Midtown Advisory Group is a 40-person wealth management firm in Midtown Manhattan. They were burning 30+ hours a week reconciling client reports across three custodians — Schwab, Fidelity, and Pershing — with manual compliance checks slowing every client review.

The Challenge

Every night, the ops team manually pulled data from 3 custodian portals, matched it against their internal books, flagged anomalies, and compiled compliance reports. One error could mean a missed trade, a fine, or a lost client.

The Solution

We built an RPA + AI hybrid pipeline: bots pull custodian data nightly, an AI agent flags anomalies against historical patterns, and a reconciliation bot generates review-ready PDFs. Compliance gets a full audit trail automatically.

The Results

30 hours/week saved, 100% audit trail coverage, client reviews ship in under 24 hours instead of 5 business days. The firm onboarded 8 new clients without expanding operations headcount.

The Stack

UiPath (RPA), Claude (anomaly detection), QuickBooks (accounting), and a custom compliance dashboard built on Next.js + Prisma.

Lessons for NYC Finance Firms

If you're doing manual reconciliation across multiple custodians, you're burning money. RPA + AI can cut reconciliation time by 80%+ while improving accuracy. Start with one custodian, prove the ROI, then expand.

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