You open a report. A number looks off. You pull the thread, and eventually you find it: an account that was never mapped, or one that got mapped wrong months ago and has been quietly distorting your P&L ever since.
This isn't a data problem. It's not a model problem. It's a mapping problem.
Today we're launching the GL Mapping Agent: the part of Drivepoint that makes sure this stops happening to you.
Why account mapping keeps breaking
Your accounting system has a chart of accounts that reflects how your bookkeeper categorizes transactions. Your financial model has a structure built around how your business actually operates: channels, margins, dimensions. Mapping is the translation layer between them.
Most finance teams treat it as a setup problem: something you handle once at the start and revisit when things break badly enough. So it becomes a quarterly cleanup project, or a dependency on whoever owns the integration. Neither of those is a workflow. That's a workaround.
And beneath the accuracy problem is an expressiveness problem. Most brands have distribution complexity that pre-set channel structures don't capture. You can't have accurate channel-level P&L without channel definitions that actually match how you sell. Squeezing Costco, a wholesale broker, and three regional distributors into "Wholesale" produces a number, not an insight.
What the GL Mapping Agent does
Most planning tools treat account mapping as a setup task: something you do once during onboarding and hope holds. The GL Mapping Agent treats it as a continuous process — confident on 90% of mappings, surfacing the 10% that need your judgment, and learning from every correction you make. It doesn't act on your data without your sign-off. Over time, it requires less of you, not more.
Two things we built specifically because our customers asked for them:
Custom channels that reflect how you actually sell. Costco, TikTok Shop, a regional distributor network, a wholesale broker. Your distribution mix doesn't fit neatly into DTC, Wholesale, Retail, and Amazon. Now you can build channels that match your actual business and map to them.
Dimensional detail from your accounting system. Revenue and expense by department, location, or class (whatever you track in QuickBooks or NetSuite) now flows into your Drivepoint model with the same structure it has at the source. No more collapsing context into a flat P&L and losing the signal.
And one thing about how you get there: mapping accounts used to require reaching out to us before you could import QBO. That's gone. Click the Account Mapping tab in the Drivepoint web app, and you're in.
What this looks like in practice
During a walkthrough last month with one of our women's health brand customers, the VP Finance noticed mid-call that $377K of Amazon fulfillment costs were sitting under "shipping" instead of "fulfillment cost." Categorized correctly at the source. Mapped wrong when it hit the model. Quietly distorting the channel P&L for an entire month.
He remapped the account in the web app. Saved. Reimported. The reporting gap closed before the meeting ended.
That's the workflow the GL Mapping Agent was built for: not a quarterly cleanup project you schedule when things get bad enough, but something you reach for the moment something looks off.
Why it matters
When mappings are wrong, everything downstream is wrong.
A few points of margin misread in one channel doesn't just affect that channel's P&L. It tells you a channel is more profitable than it is. You invest more there. You under-invest elsewhere. The decision tree is already corrupted before anyone runs a scenario.
The model is off. The reports are off. The decisions are off.
The GL Mapping Agent makes mappings something you maintain in real time, not something you audit after the fact. The moment something looks off, you fix it. Every decision made after that is grounded in numbers you can actually trust.
