Insights

Why every digital investment needs a fixed point

Cristina Savian ·

Built for Value, edition 1: The benchmark comes first

Before a surveyor takes a single reading, we look for the benchmark. It is a fixed point of known height, often a small mark cut into a wall or a bolt set in the pavement, and every measurement on the job is taken from it.

Without it, you can still take readings all day. They will be precise, neatly recorded and completely useless, because nobody can say what they were measured from.

I have thought about that mark in the wall more in the last two years than in the twenty before.

Why this newsletter, and why now

This is the first edition of Built for Value. Every other Monday I will take one idea from my upcoming book of the same name.

The book makes one argument:

We do not digitise for the sake of it. We create a digital copy of a built asset only when there is business value in doing so.

That argument comes from a pattern I keep seeing. Most digital transformation programmes do not fail on the technology. They fail on the business case, on a value proposition nobody defined, and on a return nobody agreed before the money was spent.

In surveyor’s terms, they start taking readings before anyone has found the benchmark.

What a missing benchmark looks like

It rarely looks like failure at first. It looks like activity.

A pilot is approved because a competitor announced one. A platform is bought because the demonstration was impressive. Twelve months later there is a dashboard, a steering committee and a slide of lessons learned.

Then the board asks the only question that matters.

Was it worth it?

Nobody can answer, and not because the team did poor work. They measured carefully. They simply never agreed, at the start, what they were measuring from.

I appreciate why this happens. With AI, digital transformation is moving quickly, boards feel the pressure to be seen to act, and a business case can feel like paperwork standing between us and progress.

But a reading without a benchmark is not progress. It is a number looking for a meaning.

Setting the benchmark: five questions

So what does a benchmark look like for a digital investment, whether it is AI or a digital twin?

I use five questions, and I call them the Decision Test. A board answers them before it funds AI or a digital twin, not after.

  1. Which decision changes?
  2. Who makes it today?
  3. What will they do differently?
  4. Who pays, and when does it come back?
  5. How will we know in twelve months, in five years and in a hundred years?

The first three fix the mark on the wall. They tie the technology to a real decision, made by a real person, who will act differently because of it.

The fourth gives that mark a height. It turns ambition into money with a date attached.

The fifth is the reason a surveyor bothers with any of this. In twelve months, in five years and long after handover, someone can go back to the mark, take a reading and say, plainly, whether we moved.

Why a hundred years? Because our built assets will outlive us. A bridge, a hospital or a motorway will be run by people who are not yet born, and the benchmark we leave is how they will know what it was meant to do.

When the benchmark is set first

I have seen the other way work, more than once.

When a digital twin service was built around a clear proposition, a defined value for the client and an agreed delivery model, it grew year after year into the firm’s leading consulting offering.

When investment cases named the decision, the cost and the return before anything was built, boards approved them.

Neither result came from a better algorithm. Both came from agreeing, before the first reading, what success would be measured from.

Where digital twins fit

There is a second half to the surveyor’s discipline. A benchmark is only useful if it has not moved.

This is where digital twins earn their place next to AI. AI will read whatever data we give it, with complete confidence. If that data describes the building as it was on handover day, every answer is measured from a mark that has quietly shifted.

That is why I keep saying a digital twin is not a BIM model or a 3D model. A model records a moment. A digital twin stays tied to the asset as it changes.

To stay tied, it needs two things: fidelity and frequency. Fidelity is how closely the copy matches the asset. Frequency is how often the copy is brought back in line with it.

How detailed, and how often? Both are defined in the business case, never by the technology. Anything beyond what the business case justifies is cost without value, and anything below it leaves the benchmark drifting.

The smartest move in AI is a digital twin you can trust.

Beyond the balance sheet

It would be easy to read all of this as a conversation about margins. It is not only that.

Our buildings and infrastructure hold people: patients, families, commuters, and the teams who keep those places running. When we spend on technology that nobody can measure, we are not only wasting money. We are spending the attention and the budget that could have made those places safer and better run.

We have a duty of care in this profession. A benchmark is one of the oldest ways we have of keeping it.

Before your next digital investment

Here is what I would ask of you before the next digital investment reaches your board, AI or digital twin. Find the benchmark. Write the business case first: the decision it changes, the person who makes it, the fidelity and frequency it needs, and how you will know in twelve months, in five years and in a hundred.

Can you fit it on one page? If you cannot, that is not a reason to stop. It is the place to start.

The next edition comes out in two weeks, in launch week. After the launch, I want this newsletter to answer your questions, not mine. Reply to this edition, or leave a comment, with the digital investment your organisation is wrestling with, and I will take the most common ones in the editions that follow.

I started my career on a motorway design in Piedmont, looking for a mark on a wall. Nearly thirty years later, I still believe this industry is at its best when it knows exactly where it is measuring from. We do not digitise for the sake of it, and AI gives us the best reason in a generation to get that right.

If your board is weighing a digital investment and you want to test it against those five questions, book a conversation with me.

Also published in my Built for Value newsletter on LinkedIn. Subscribe to get each edition first.