Your Finance Team Just Got a New Coworker
In the first blog, Emiliano helped distributors answer the question of whether your partners are shipping real AI or selling you a roadmap promise. In finance, that distinction is the difference between a continuous close and another frantic month-end scramble.
Before becoming the Product Director at Encompass, my decade of experience in accounting and finance gave me a front-row seat to the complexities of that world.
Walk into any distributor's back office, and you won't find people waiting for work. Your highly trained employees tend to be buried in: chasing short pays, untangling depletion allowances, reconciling chargebacks and other cumbersome responsibilities that make their heads spin. And if a product is shipped at an outdated price, the system doesn’t alert the team with errors. You only discover the lost margin weeks later during month-end reconciliation.
Beverage finance is defined by razor-thin margins and little room for error. This exact complexity and your team’s limited capacity point to AI agents as a difference maker and natural consideration area as you consider how to integrate AI into your operation.
A Few Ways a Finance Agent Changes the Game
A finance agent should continuously monitor your ERP data. It needs to go beyond flagging the discrepancy to actually investigating the root cause and staging a solution for you, right alongside you as you work. Here are a few ways I see a Finance Agent supporting your team:
- GL Automation and the Continuous Close: The traditional month-end close is a frantic, retroactive race against time, but agentic AI can turn month-end into a normal day. I think of it as a digital coworker that drives autonomous General Ledger automation and is connected to your broader banking, trade spend and HRIS stack. It can continuously match, reconcile, and propose transactional entries in real time directly inside your ERP. This would eliminate the multi-day monthly crunch entirely, transforming your books into a living, audit-ready ledger that reflects your exact financial health at any given moment.
- Automating Accounts Receivable: Managing AR is a repetitive grind. Imagine an AI Agent that immediately identifies overdue accounts, drafts personalized follow-up emails with a statement and proof-of-delivery in your outbox, and stages a system update to put the customer on credit hold. You arrive at your desk, review the drafts, click approve, and your AR workflow is done. What impact would this have on your operation?
- Preventing Month-End Mysteries at the Source: Month-end nightmares are rarely born on the 30th; they are the result of compounding breakdowns in daily onboarding and maintenance activities. A Finance agent would act as an immediate gatekeeper, auditing new SKU onboarding, pricing updates, and GL mappings in real time. By catching pricing discrepancies immediately and ensuring costing layers are accurate before sales transactions ever post, the agent would enable more accurate margin reporting, allowing leadership to make more informed portfolio decisions.
The "Human-in-the-Loop" Mandate
CFOs rightfully get nervous about autonomous AI, which is why I recommend talking to your partners about how they are building their Agents, to Emiliano’s point in the prior blog. A built-for-beverage agent understands the industry doesn't hand over the keys to the vault and let it run amok. It ought to operate in a "Human-in-the-Loop" architecture.
The AI should do the heavy work like data gathering, anomaly detection, and staging solutions but only execute with human authorization. It then needs to present a clear "Before & After" scenario for your team to approve. It respects your ERP's native permission structures, ensuring sensitive financial data is never exposed to unauthorized users. If this isn’t how they’re explaining the design, proceed with caution.
A New Future
For decades, beverage finance teams have spent most of their time looking backward to close the books. Agentic AI allows them to look forward. By letting digital coworkers handle the exceptions, your human workforce is freed up to analyze market trends, negotiate supplier terms, optimize working capital, and drive profitable growth. And that’s a dollar well-spent in my mind.
Next week, we’ll move out of the back office and into the market to explore how AI agents are transforming beverage sales. If you’re heading to the NBWA Convention this fall, let’s continue the conversation there. We’ll be hosting a dedicated session with Brad Manilla from K1MS on the reality of AI in beverage distribution. We’ll get specific on real-world applications and best practices from your peers.
