Can your numbers tell the story — and survive the second question?

Many founders find out their financial model is not investor-ready in the worst possible place.

In the investor meeting, they can explain the business. They know why customers buy, where the opportunity is and what they want to build next.

The first question is usually fine.

It is the second question where things can get difficult.

What makes that revenue number move?

How much runway does this investment actually buy?

What happens if the raise is smaller than planned?

Why does margin improve next year?

What happens if sales hiring takes three months longer?

That is an expensive way to discover the gaps, because by then you may already have lost credibility or momentum with the investor.

It does not mean the founder does not understand the business.

Usually they understand it extremely well.

The problem is that the understanding has never been translated into a financial plan that somebody else can test.

What you have now may have been perfectly adequate until now.

When founders first send me their numbers, I often see something fairly simple.

There is an accountant doing the accounting, often doing it perfectly well.

There is a P&L, perhaps a balance sheet, and a forecast built internally in Excel.

Sometimes the starting point is simply a report exported from Xero and extended forward.

There is nothing wrong with that.

It may have been exactly what the business needed at that stage.

But a fundraising model has to answer a different set of questions.

The historical accounts tell you what happened.

The financial model needs to show what could happen next, what drives it, what has to be true for it to happen and what the investment actually changes.

That is where the numbers start telling the story.

Your deck tells the story.

Your model shows the assumptions and economics underneath it.

And the evidence sits behind both of them: your actual performance, pipeline, contracts, unit economics, customer behaviour and operating data.

If those three things do not line up, investors notice quickly.

If your deck says the investment will accelerate growth, the model should show how.

If you say you will enter a new market, the cost, timing and expected impact should be visible.

If you say margins will improve, there should be a reason.

The objective is not to build the most complicated spreadsheet in the room.

It is to make the logic clear enough that somebody else can challenge it.

Here is where I would start.

1. Show what the capital actually buys

An investor is not looking for one perfect prediction of the future.

They are trying to understand your capital allocation plan.

What milestones does the investment get you to?

How long does the money last?

What has to happen before the next financing point?

What changes if you raise less?

And if more capital is available, what can you genuinely accelerate?

So build scenarios.

Start with the amount you are actually raising.

Then show what happens if you raise less than planned.

And show what additional investment could realistically accelerate if more capital becomes available.

But do not simply change the cash balance.

The operating plan should change too.

A smaller raise might mean delaying hires, entering a market later or prioritising one product over another.

Additional capital might allow you to hire earlier, invest faster in product or accelerate commercial expansion.

That is what makes scenario planning useful.

You are not just showing an investor three forecasts.

You are showing them how management thinks about allocating capital.

2. Make every important number move for a reason

An investor should be able to point at a material number and ask:

Why does that change?

And there should be an operational answer behind it.

Revenue growing because somebody entered 15% into a cell is not a particularly robust forecast.

Revenue growing because you hire two salespeople, allow for ramp time, apply a realistic sales cycle and conversion rate, and then use an average contract value is something an investor can properly challenge.

They may disagree with the assumptions.

That is fine.

At least there is something real to discuss.

The same principle applies to headcount, pricing, margins, customer acquisition and major costs.

Good models make the important assumptions visible.

They do not bury them inside the answer.

And you do not need to model every line to the same level of detail.

Focus the detail on the drivers that materially change growth, cash and value.

3. Put cash and runway at the centre

A P&L does not tell you when you run out of money.

A business can show accounting profit and still be unable to meet payroll.

Revenue is not cash.

Collections timing, payment terms, hiring, tax, capex and working capital can materially change the picture.

For an investor, cash therefore cannot be an appendix to the forecast.

It is central to the funding case.

How much runway does this investment buy?

When is the lowest cash point?

Which assumptions create the greatest cash risk?

What happens if customers pay later than planned?

What happens if hiring happens earlier?

And what needs to be achieved before more capital is required?

Build the cash flow before you add anything clever.

It is often the part of the model that tells you whether the rest of the plan really works.

4. Read the deck and the model side by side

This is one of the simplest checks you can do.

Take the five strongest financial and operating claims in your deck.

For each one, ask:

Where does this appear in the model?

What assumption drives it?

What evidence supports that assumption?

What happens if the assumption is wrong?

If you cannot answer those questions, there is probably a gap.

A claim with no financial logic underneath it is difficult to defend.

A model with hundreds of lines that do not help explain the business is not necessarily better either.

The deck and the model should not be two separate pieces of work.

They should be two ways of explaining the same plan.

A word about AI

I use AI regularly.

It can remove a lot of repetitive work from financial analysis and help structure scenarios, challenge assumptions, identify inconsistencies and draft commentary.

But it does not remove the need to understand the numbers.

The danger is not only that AI can make a mistake.

It can also present a weak assumption or an incorrect conclusion very convincingly.

That is why calculations, assumptions and outputs still need to be reviewed.

Use AI to accelerate work you can validate.

Do not use it as a substitute for financial judgment.

The standard changes when you start raising capital

Most founders I meet are not behind because they ignored finance.

They were busy running the business.

Signing contracts.

Meeting customers.

Hiring people.

Building the product.

Closing deals.

That is where much of their attention should have been.

But once external capital enters the conversation, the standard changes.

Your numbers do not need to predict the future perfectly.

They do need to show that management understands what drives the business, what the capital changes, how long it lasts and what happens when the assumptions move.

So start with the scenarios.

Use the numbers you already have.

Ask what the capital buys, which assumptions have to hold, how long the cash lasts and what changes if the plan moves.

If you want a second pair of eyes on the structure, send me a message.

I will tell you the first questions I would expect an investor to ask.