Half of Finance's Time Goes Into Building the Report — Not Explaining It
Ask any finance leader what eats their team's week, and the answer is rarely "analysis." It's the report itself — pulling data from three systems, reconciling numbers that don't quite match, formatting the deck, and doing it all again next month.
This is exactly the gap AI financial reporting is designed to close. As more finance functions adopt financial reporting automation, the conversation is shifting from "should we use AI in finance" to "how fast can we get there." Every close. Every board meeting. Every "quick question" from leadership that turns into two hours in a spreadsheet. By the time the answer is ready, the moment it was needed has usually passed.
That's the problem Reporting Intelligence from insightsoftware — a new category of AI-powered financial reporting software — is built to solve. OnPoint is hosting a live look at it on 20th August 2026 at 1:00 PM WAT.
What Is AI Financial Reporting Software?
AI financial reporting software applies natural language processing and machine learning directly to your financial data, so finance teams can ask questions in plain English instead of building a new report or pivot table for every request. Instead of exporting data, reconciling it manually, and formatting a deck, you simply ask:
"What drove the variance in cost of goods this month?"
"Compare headcount spend across departments year over year."
"Which accounts are trending outside of plan?"
No query language. No exports into a side spreadsheet. No waiting on IT to build a custom view. The answer comes back in seconds, grounded in your actual numbers and traceable back to the source — which matters, because real-time financial reporting for the office of the CFO can't afford a black box. Every response needs to hold up in the next audit, board deck, or leadership review.
Why AI in Finance Is Becoming Table Stakes for FP&A Teams
AI in finance is no longer an experiment reserved for large enterprises. FP&A teams, controllers, and accounting leaders are under growing pressure to deliver data-driven decision making faster, without adding headcount. Finance automation — from month-end close to variance analysis — is quickly becoming the baseline expectation, not a competitive edge.
This session is built for two audiences at once: teams who haven't touched AI-powered financial reporting tools yet, and teams already deep in spreadsheets who just want faster answers. If you're a CFO, Controller, Finance Director, FP&A professional, or accounting leader who owns the numbers — and the pressure that comes with explaining them — this is built around your week, not a generic AI pitch.
What You'll See in 45 Minutes
How to ask questions about financial data in plain language and get trusted, traceable answers
How financial reporting automation cuts the manual effort behind month-end reporting, variance analysis, and ad hoc requests
How AI in finance applies to real use cases — even starting from spreadsheets today
How to give your team faster access to financial data analysis without adding headcount or complexity
It's a live session on StreamYard, 45 minutes plus open Q&A with the panel from insightsoftware and OnPoint — so bring the questions you'd normally save for a call with IT.
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