Don Mal | Board chair at Una Software, a performance planning platform combining dynamic FP&A, revenue intelligence & AI-driven forecasting.
My last article, “Zen And The Art Of The CFO,” was a philosophical one. While this article is about neuroscience and what it can teach us about modern finance leadership, it does start with philosopher Immanuel Kant.
Some say that Kant is one of history’s most important writers, especially his writings on “transcendental consciousness,” which essentially means we all experience the world not as it is, but through our senses.
Modern neuroscience confirms this. And our brains are not mere recording devices; they are prediction engines.
So, if we want our finance departments to operate with true intelligence, we must stop building them to record the past and start building them to simulate the future.
The 10x Simulation Mandate
Neuroscience teaches us that the brain is a proactive organ. It generates internal simulations of reality at a magnitude far greater than the raw sensory input it receives, possibly to the extent of 90% internal simulation and 10% external signal. Think about what this means.
When you walk into a room, your brain isn’t passively recording what’s there. It’s actively predicting what should be there based on past experience. And this prediction-first approach is what makes human intelligence remarkably efficient.
We don’t waste energy processing every single input. We simulate, predict and only pay attention when we’re wrong.
In the legacy finance department, the ratio is inverted. In my experience, we spend more like 90% of our energy recording actuals and 10% forecasting. To achieve human-level intelligence, a CFO needs to mandate a human-like 10x simulation factor. This means putting 10 times the computing resources into predictive modeling as into historical recording.
We don’t need faster bookkeeping; we need more robust simulating, predicting and adapting.
The Variance Principle
The brain only “wakes up” when reality doesn’t fit the forecast.
This is known as prediction error. Research from Johns Hopkins University shows that these errors act as the primary teaching signals for the brain, driving quick learning and behavioral adjustment. When the world deviates from our simulation, our neurons fire and we learn.
In finance, we call this variance reporting, but we often treat it like an autopsy. An intelligent finance department uses AI-native tools to highlight prediction errors in real time. Gartner predicted in 2023 that by this year, 80% of finance functions would have deployed AI specifically to handle these types of anomaly detections.
When the system handles the “what,” your best minds can focus 100% of their intelligence on the strategic “why.”
The Calculus Of Finance
For decades, finance has been practiced as what my CFO calls “blocky algebra.” We look at months, quarters and years as discrete, clunky blocks of time. But reality doesn’t move in blocks; it moves in curves.
Here’s the difference: Algebra deals with fixed points. If revenue was $10 million in Q1 and $12 million in Q2, that’s algebra—two separate data points.
Calculus describes continuous change. It doesn’t just tell you where you were at two points in time; it describes the entire trajectory between them and beyond.
When you shift from quarterly reviews to continuous forecasting, you’re making the leap from algebra to calculus in your finance function. You’re no longer looking at snapshots. You’re watching the movie.
This is the shift from algebra to calculus. By moving from the static, even “rolling forecast” to a continuous forecast, we replace those clunky blocks with smooth, real-time curves of insight. This is the “continuous utopia”—a state where the frequency and density of our data points are so high that surprises cease to exist.
Worldwide spending on AI infrastructure alone this year is set to top $1.3 trillion. That investment isn’t for better spreadsheets; it’s for the continuous processing power required to solve for the trajectory of the company in every moment.
Bridging The Hemispheres
We often speak of the “split-brain” in business—strategy on one side, operations on the other.
AI is the corpus callosum. The corpus callosum is the bundle of neural fibers connecting the left and right hemispheres of the human brain. It allows the analytical left hemisphere to communicate with the intuitive right hemisphere. Without it, the two sides operate in isolation.
In traditional finance, we have the same problem. Strategy lives in one silo, operations in another. The CFO’s office forecasts the future while accounting records the past, and the two rarely sync in real time.
AI is the bridge that integrates these hemispheres into a unified, intelligent system. It connects predictive analytics with operational data. It ties strategic planning to continuous execution.
Putting Human Intelligence To Work
If you want your finance function to, for lack of a better word, function with human intelligence, here’s how you do it:
1. Sense constantly.
Just like your brain and five senses, pull data from across the organization: sales, operations, marketing, customer success and more.
2. Flip the 90/10 ratio.
Put 10x the resources into forecasting, predicting, simulating and modeling that you put into reporting what’s already happened.
3. Let AI do the heavy lifting.
Use AI to do the variance reporting, pattern recognition and anomaly detection so your team focuses on understanding the results.
4. Reforecast always.
Your brain is running variances and reforecasts and new simulations all the time. So should your finance function.
5. Bridge the hemispheres.
Talk with people, and listen to them, constantly.
The New Finance Function
When your finance department functions more like a human brain, it ceases to be a back-office function. It becomes the transcendental consciousness of the enterprise that doesn’t just see the world; it helps create it.
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