If you've ever sat in a business review wondering why your finance team spent three weeks building a deck that tells you what already happened — you are not alone.
It's one of the most common frustrations I hear from business leaders. The numbers are technically accurate. The variance analysis is thorough. The accruals and prepayments balance to the penny. Yet the meeting ends without anyone being any clearer on what to do next.
That's not a data problem. It's a finance problem.
Most finance business partners are trained — implicitly or explicitly — to explain the past. Month end closes, the pack goes out, and the job becomes defending the numbers. Why did costs come in over? Why did revenue miss? The energy goes into making sure the historical record is clean and explainable.
Meanwhile, you're sitting across the table with an entirely different question in your head.
If I need to change direction next quarter, how much room do I have? If a new opportunity comes up next month, can we move on it? If I pull this budget and redeploy it, what does that do to the rest of the year?
These are forward questions. They're the ones that actually drive decisions.
The best finance business partners I've seen understand something that takes most people years to internalise: results are an input, not an output.
Month end isn't the destination. It's data that updates the forward picture. A good FBP takes that data, recalibrates the forecast, and walks into the room ready to answer the question you haven't asked yet — because they already know what you're worried about.
The difference in practice is stark. One finance partner spends the week before a business review polishing slides on historical variance. Another spends it modelling what happens to the year-end position under three different scenarios, so that when you walk in and say "we're thinking about doing X" — they already have the answer.
One makes you feel informed. The other makes you feel confident.
This isn't about being less rigorous with the numbers. Accuracy matters. Controls matter. A finance function that can't close the books properly is a liability.
Rigour with the past is the baseline, though. It's not the value-add.
The value-add is someone who treats your results as the starting point for a conversation about where you're going — not the end point of a conversation about where you've been.
If your finance team isn't doing that, it's worth asking why. Sometimes it's capability. Sometimes it's how the function has been structured or incentivised. Sometimes it's simply that nobody has told them what you actually need from them.
That conversation is usually worth having.
A note on AI — and why it matters here
One of the more practical things AI tools are starting to do well is the production side of finance reporting. Summarising variance commentary, drafting narrative around month end results, pulling together the historical slides that have traditionally consumed a disproportionate amount of a finance team's time.
That matters — not because the close is unimportant, but because every hour spent producing the historical pack is an hour not spent on scenario analysis and forward modelling. If AI can compress the time it takes to get the numbers out of the door, the dividend isn't just efficiency. It's headspace. It's the capacity to do the work that actually influences decisions.
The technology won't replace good financial judgement. What it can do is give your finance team more time to use it.
Mark Lynam is a senior finance leader with 20+ years experience in commercial finance and FP&A. He works with businesses that need sharp financial thinking at the leadership table. Get in touch or connect on LinkedIn.