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case-studybootcampfinance

How a CPG Finance Team Cut Manual Reporting Time with an AI Command Center

March 12, 2026·2 min read
S

Stefan Johnson

How a CPG Finance Team Cut Manual Reporting Time with an AI Command Center

At a scaling consumer brands company, the finance team was running on Netsuite, Ramp, and Expensify — with Excel doing the work no one wanted to talk about.

Monthly reporting meant extracting data, reformatting it by hand, and rebuilding cash flow models from scratch every cycle. Expense categorization was a manual process that nobody had time for. The bottleneck wasn't strategy. It was the execution layer between data and decisions.

The Challenge

A CFO and COO at a spirits and CPG brand reached out through a mutual connection. The referral came from their CEO, who'd been following the work being done with AI command centers for executive teams.

The core problem was familiar: too much time spent in spreadsheets, not enough time thinking. The manual work wasn't optional — it was the thing keeping financial ops from scaling with the business.

They wanted a system that handled the repetitive extraction-and-formatting work, not a software subscription that promised to eventually get there.

The Approach

The engagement was an Exec AGI Bootcamp: three sessions over a few weeks, with the CFO and COO both participating.

Rather than buying software, they built their own. Every concept was translated into finance-specific language — specifications became close checklist items, quality checks became reconciliation and variance analysis. The mental model matched work they already understood instinctively.

Session 1 focused on mindset and setup: building a command center configured for their company, with knowledge files covering chart of accounts, KPI definitions, and Netsuite schema.

Session 2 focused on building the first workers: AI tools trained on their data, their reporting formats, and their decision frameworks.

Session 3 focused on rhythm — how to run the system independently and keep expanding it after the bootcamp ended.

What Was Built

By the end of three sessions, the team had three working AI workers:

Financial Reporter — Pulls monthly P&L data from Netsuite exports and formats it into brand-level breakouts automatically. No more manual reformatting.

Cash Planner — Takes actuals and runs cash flow projections with configurable assumptions. What used to be rebuilt from scratch is now a thirty-minute update.

Expense Analyzer — Processes Ramp and Expensify data to categorize expenses, surface anomalies, and identify trends across brands.

They also built a knowledge base — searchable, version-controlled — covering their chart of accounts, KPI definitions, Netsuite field mappings, reporting templates, and expense policies.

The Results

The CFO's summary said it best: "Worker 1 is hardest. Worker 10 is almost templated. The compound effect is real."

With both the CFO and COO trained on the same methodology, cross-functional adoption happened naturally. The same approach that works for financial reporting works for operations, for vendor communications, for anything that follows a repeatable pattern.

The system they built in three sessions isn't a finished product — it's a foundation. Each worker gets better as the knowledge base grows. Each new worker is faster to build than the last.

That's the compound effect.


Ready to build your own executive AI command center?

The Exec AGI Bootcamp is a 3-session program designed for leaders who want to stop buying AI software and start building systems that work for them.

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