ChatGPT changed the way people work – overnight.
From analysts to accountants, users are already plugging financial data into publicly available, often free AI tools to “explain this number,” “summarize that forecast,” or “build a pivot table formula.”
It’s fast, intuitive, and tempting – especially when traditional reporting tools feel clunky and outdated.
There’s the catch. Even if your team isn’t formally using AI in finance, they’re already experimenting with it.
And that introduces a new kind of risk: your company’s financial data may be exposed to unsecured, external platforms – without you even knowing it.
In this blog, we unpack how finance teams can evolve safely and smartly, using solutions that offer speed and intelligence without compromising security, control, or compliance.
Nobody’s intentionally leaking sensitive data. But the risk today isn’t malice – it’s convenience.
A senior analyst pastes trial balance data into ChatGPT to get a faster variance summary.
An FP&A intern uploads a CSV to an AI email generator to draft a report for the CFO.
A controller shares a P&L screenshot with a browser extension that claims to “make Excel easier.”
Suddenly, your financial data has left the building.
With no control over where that data is stored, who can access it, or how it’s used to train public AI models, the security risk is real – and growing. And in regulated industries like BFSI or government, it’s not just risky. It’s non-compliant. In fact, it’s for this reason that 60% of CFOs report that their approach to managing AI is either ad hoc or non-existent due to concerns around data privacy and cybersecurity.
But you also can’t outright ban what’s making your finance teams’ lives easier.
What you need is a finance stack that makes risky workarounds unnecessary.
Because speed rules.
No CFO wants to hear, “The system is refreshing” when the board needs an urgent view. No controller wants to wait 30 minutes to drill into a subledger discrepancy. No finance ops leader wants reporting to stall a month-end close.
And yet, this is the status quo with many legacy reporting tools.
Reporting workflows can overload Oracle. They can cause lag. They time out.
And ironically, that’s what drives users to public AI tools in the first place. All they’re looking for is to find the right answers, fast.
Modern reporting solutions need to meet that expectation without cutting corners on governance or data integrity.
Legacy tools were built for static environments, not for hybrid systems, cloud transitions, or real-time expectations.
They require IT support for custom reports.
They can’t handle cross-platform reporting across Oracle EBS and Fusion Cloud.
They struggle to support the drill-down workflows analysts need to explore variances on their own.
And when every report becomes a project, and every change request goes into an IT backlog, decision-making slows to a crawl.
Finance teams today need reporting solutions that:
That’s where GLConnect comes in.
GLConnect is not an AI tool that promises to “predict your cash flow” using black-box algorithms.
It’s a secure, Excel-native reporting solution that connects directly to Oracle EBS and Fusion Cloud – and puts control back in the hands of finance professionals.
Here’s how GLConnect supports a modern, secure finance stack:
GLConnect gives your team everything they like about smart solutions – speed, ease, independence. All without the security and compliance nightmares that come with generic AI platforms.
GLConnect is trusted by some of the largest enterprises in the world – including finance teams that operate with zero room for risk.
Whether it’s for:
GLConnect delivers. Every time.
It’s built for what today’s finance teams really need: security, speed, clarity, and control.