80% of model quality comes from this.
Here's the framework that works:
1. Define the role.
Tell AI it's a financial modeling assistant.
Set clear deliverables.
2. Describe your inputs.
Where's the historical data?
80% of model quality comes from this.
Here's the framework that works:
1. Define the role.
Tell AI it's a financial modeling assistant.
Set clear deliverables.
2. Describe your inputs.
Where's the historical data?
Fixing broken links.
Validating formulas.
Rebuilding statements from scratch.
Sound familiar?
Here's what changed my modelling game:
Preparing inputs the right way.
Two sheets.
That's it.
Fixing broken links.
Validating formulas.
Rebuilding statements from scratch.
Sound familiar?
Here's what changed my modelling game:
Preparing inputs the right way.
Two sheets.
That's it.
Because they're built wrong from the start.
I spent 20 years in Excel.
Built hundreds of models.
And here's what I learned:
The problem isn't your skills.
It's the process.
Traditional modelling takes forever.
Because they're built wrong from the start.
I spent 20 years in Excel.
Built hundreds of models.
And here's what I learned:
The problem isn't your skills.
It's the process.
Traditional modelling takes forever.
Because they're built wrong from the start.
I spent 20 years in Excel.
Built hundreds of models.
And here's what I learned:
The problem isn't your skills.
It's the process.
Traditional modelling takes forever.
Because they're built wrong from the start.
I spent 20 years in Excel.
Built hundreds of models.
And here's what I learned:
The problem isn't your skills.
It's the process.
Traditional modelling takes forever.
Not AI experiments. Not AI pilots. Real returns.
We've moved from "let's try this" to "show me the money."
Companies with months of deployment under their belts are making decisions based on performance data, not promises.
Not AI experiments. Not AI pilots. Real returns.
We've moved from "let's try this" to "show me the money."
Companies with months of deployment under their belts are making decisions based on performance data, not promises.
Why did companies stop caring about productivity?
They didn't. They just got smarter about what they measure.
A year ago, 67% of companies adopted AI to "improve general productivity." Now it's only 37%.
The new focus? Measurable business outcomes.
Why did companies stop caring about productivity?
They didn't. They just got smarter about what they measure.
A year ago, 67% of companies adopted AI to "improve general productivity." Now it's only 37%.
The new focus? Measurable business outcomes.
Small companies lost 12%.
That gap is brutal.
S&P 500 companies are crushing it with AI. Their revenue per worker is up significantly since ChatGPT launched.
Meanwhile, Russell 2000 companies are struggling.
Small companies lost 12%.
That gap is brutal.
S&P 500 companies are crushing it with AI. Their revenue per worker is up significantly since ChatGPT launched.
Meanwhile, Russell 2000 companies are struggling.
That's a 19x increase in one year.
In 2024, only 1% of CEOs expected ROI within 6-12 months. This year? 19% expect it that fast.
Even crazier: 67% now expect returns in 1-3 years, up from just 20%.
What's driving this confidence
That's a 19x increase in one year.
In 2024, only 1% of CEOs expected ROI within 6-12 months. This year? 19% expect it that fast.
Even crazier: 67% now expect returns in 1-3 years, up from just 20%.
What's driving this confidence