Automated Client Reporting Suite
An automated quarterly reporting pipeline, cutting analyst hours by 60%.

Client
Vertex Capital
Completed
May 30, 2025
Status
Completed
Services
AI Automation, Data Analytics
Business Challenge
Vertex Capital's analysts spent the first two weeks of every quarter manually assembling client reports — pulling data from four internal systems into spreadsheets, then formatting each one by hand for 180+ client accounts.
Objectives
- Eliminate manual data assembly without losing the customization each client's report required
- Guarantee zero calculation errors — reporting mistakes in finance carry real consequences
- Keep a human review step before anything reaches a client
Approach
Given the stakes of getting a client's financial report wrong, we scoped this as a human-in-the-loop system from day one: full automation of assembly and formatting, with a mandatory analyst sign-off before any report sends.
Deliverables
An automated data-aggregation pipeline, templated report generation with per-client customization rules, an analyst review queue, and automated delivery via Resend once approved.
Solution
Planning
We mapped every client's report customizations first — some wanted specific benchmarks, others additional risk disclosures — before writing a line of the templating engine, since retrofitting customization later would have meant a rebuild.
Design
Reports use a rules-based template system rather than a single generic layout, so each client's specific format requirements are met without one-off manual editing.
Development
Built a Python pipeline pulling from Vertex's four data sources into PostgreSQL, with a templated PDF generation layer and a review dashboard for analysts.
Testing
Ran two full quarters in parallel — the old manual process and the new automated one side by side — comparing every generated report line-by-line against the manually produced version before cutting over.
Deployment
Went live at the start of a new quarter with the full analyst team trained on the review dashboard a week ahead of the first automated cycle.
Optimization
After the first live quarter, we streamlined the review queue based on analyst feedback — flagging only reports with unusual variances for detailed review rather than requiring line-by-line sign-off on every report.
Zero calculation errors across three full quarters since launch — the parallel-testing phase, while it added two weeks to the timeline, was worth the certainty given what's at stake in financial reporting.
Results
60%
Analyst hours saved per quarter
180+
Reports generated per cycle
0
Reporting errors post-launch
Technology Stack
Gallery
“Clear communication from kickoff to launch. The reporting automation cut our analysts' manual work dramatically without cutting corners on accuracy.”
Marcus Webb
Director of Analytics, Vertex Capital
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