Treasury, Tech, & AI On Repeat

Everyone Wants AI. No One Wants to Clean Their Data.

Here's what we're seeing: everyone's excited about AI, but most treasury teams are hitting the same wall when it comes to execution. The problem isn't the AI - it's the data.

You can have the most sophisticated AI forecasting model in the world, but if it's being fed inconsistent data from different ERPs, multiple bank portals, and a handful of spreadsheets, you're going to get garbage predictions. AI is only as good as the data pipeline that feeds it.

Tech companies have poured $200 billion into AI infrastructure this year, but treasury teams are still struggling with basic data connectivity. The Fed's keeping rates steady at 4.25-4.50%, but your cash forecasting accuracy is probably still stuck in the 70% range because your data is a mess.

Before you can leverage AI effectively, you need clean, connected, real-time data flowing through your treasury operations.

Last week, Ed Barrie, Founder and Chief Product Officer at Treasury4, asked treasurers:

What’s the hardest part of deploying AI in treasury? Here's what people are saying:

▸ 50% — Data pipeline issues

▸ 29% — Tech doesn’t support AI

▸ 17% — Change management

▸ 4% — Model integration

Foundation + Treasury Data = AI Love

Let us know what your biggest challenge is with AI in Treasury in the comments.

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If you're evaluating AI cash forecasting, here’s what to look for:

• Is your underlying cash data structured and connected?
• Can your forecast model adapt daily—not just monthly or quarterly?
• Do you trust the inputs as much as the outputs?

If the answer to any of these is “no,” it’s not time to pilot AI. It’s time to fix your data.

Try this test: Track your forecast accuracy over the next month—7-day, 30-day, 90-day. If you’re not hitting 85%+, the model isn’t broken. The foundation is. With the right treasury tech, you don’t just hit 85%—you get above it.

We're here to help treasury teams get the data foundation right — so AI can actually deliver.

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On-Demand Virtual Session:

AI in Action: Smarter, Faster Cash Forecasting

Key takeaways:

• What AI can actually deliver for forecasting right now
• How real teams are using AI for visibility, precision, and speed
• Why it doesn’t require a full system overhaul to get started

Watch Now

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New Episodes: Moving the Money

Moving the Money delivers bite-sized insights for treasurers and CFOs on the tech, tools, and strategies reshaping modern treasury. This month: The future of treasury is changing—with data access and AI, rapid onboarding that delivers $50K in savings, and a broken forecasting model every treasury & finance leader must understand now.

Watch the full episode series here 👇

• The Future of Treasury with Ed Barrie
• How to Win Onboarding with Griffin Hare
• Why Traditional Forecasting is Broken with Ty Heim

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Most forecasting doesn’t fail because of bad models. It fails because the data isn’t ready. If you want AI to work in treasury, start with clean, connected, real-time data. That’s what we help teams build.

If forecasting—or any part of your treasury process—feels harder than it should, you’re not alone. Drop a comment or message us. We’re happy to share what we’ve seen work.

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Thanks for reading the first edition of Inside Treasury4. Subscribe for more real-world insights, product updates, and treasury industry news!

At Treasury4, we help teams build the foundation AI needs to thrive: clean, connected, real-time data across your entire ecosystem—from ERPs and bank portals to investment systems and beyond.

Whether you're rethinking your forecast, automating reporting, or preparing for life as a public company, we can help.

Let’s talk. Book a meeting to see how we can help your treasury team reduce manual work and build a better foundation for what’s next.