Introducing Eagl: The AI Intelligence Layer for Multi-Entity Finance Teams

Today, Eagl is live.

After months of building alongside finance teams, we’re opening Eagl to in-house teams across Europe and the USA. The intelligence layer we’ve been running with early customers is now available to yours.

An accountant for every transaction

Finance teams don’t have a data problem. They have a time problem. The numbers are all there. They’re just spread across systems, and someone has to gather, clean, and check them by hand before anyone can trust them. That work eats the month, and the real analysis gets whatever hours are left.

Eagl is an AI intelligence layer that plugs into your accounting systems and reviews every transaction the moment it posts. No waiting for month-end. No sampling. By the time you sit down to close, the books are already right.

Built for multi-entity finance

The teams worth automating rarely run a single set of books. They close across multiple legal entities, currencies, and often more than one ERP, reconciling intercompany positions, chasing the same anomaly through three subsidiaries, and consolidating it all under one deadline. Every entity you add multiplies the manual checking.

Eagl is built for exactly that. It works across all your entities at once, applies your rules consistently everywhere, and gives you a single view of what’s flagged, what’s matched, and what’s left to close, no matter how many entities, currencies, or systems sit underneath.

What the agents do

Eagl runs a team of agents across the work that used to fill your close:

• Controlling. Every posting is checked against your rules and history. Misclassifications, timing errors, and missing entries get flagged the moment they appear, not three weeks later.
• Accruals. Recurring costs are spread across the months they belong to, and the agent predicts the reversal and invoice before they land.
• Bank reconciliation. Sub-ledgers and bank statements are matched line by line, including the FX variances, fees, and batch settlements that make manual matching painful.
• Journal entries. When something’s off, the agent proposes the correction with full context. You approve it, and it posts straight to your ERP in one click.
• Close management. Every task is tracked across your team and the agents, so you always know what’s done and what’s left.

As we scale, maintaining accuracy without adding complexity is critical. Eagl helps us identify issues early, increase confidence in our financial data, and shorten the path to close, while enabling the team to spend more time on controlling and analysis rather than manual reviews.

Toni Krüger, VP Accounting & Reporting, Upvest

Plugs into the systems you already run

Eagl connects directly to your accounting systems and ERPs, including Exact Online, NetSuite, and Microsoft Dynamics 365 Business Central, with more on the way. When your entities sit across different systems, Eagl spans them all, so your team keeps working exactly where they work today and you get one control layer over the whole group.

Why now

Every finance team is being asked the same question right now: where does AI fit? The honest answer is that most AI in finance fails before it starts, because it runs on data that was never clean enough to trust. Garbage in, garbage out. A model reasoning over miscoded transactions, broken reconciliations, and half-finished accruals just produces confident, wrong answers faster.

You can’t put AI on top of bad data. You have to fix the data first. That’s the layer Eagl provides. By making sure every transaction is correct, reconciled, and in context the moment it posts, Eagl keeps the data underneath your reporting, your forecasting, and your AI clean and trustworthy. That foundation is what makes everything you build on top of it worth trusting.

Eagl is available today for in-house finance teams across Europe and the USA.

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Brecht, Frederik, Benoit & Samuel