The Hidden Cost of Hard-Coding Your Business

Business rules aren’t software. They’re organizational knowledge.

I’ve spent a lot of time over the last several years helping organizations modernize their marketing technology. Sometimes that means replacing a platform. Sometimes it’s introducing AI into marketing operations. Sometimes it’s connecting systems that have grown independently over the course of a decade.

No matter what the initiative is called, I keep running into the same challenge.

It usually isn’t the technology.

The technology is often the easiest part.

The difficult part is untangling years of business decisions that have quietly become trapped inside the technology itself.

At first, everything looks straightforward. A workflow works. A campaign launches. An automation fires exactly when it’s supposed to. Then someone asks what seems like a simple question.

“Why does it work that way?”

The room gets quiet.

Someone remembers it was added years ago because of a unique business situation. Someone else thinks it was tied to a legal requirement. Another person believes it was a customer experience decision. Eventually someone says, “Let’s go look at the workflow.”

That’s usually the first sign that the software has become the only place your organization remembers how it operates.

When Software Becomes the Expert

One of the biggest shifts in my own thinking has been realizing that we’ve unintentionally blurred the line between business knowledge and technical implementation.

Workflows, automation rules, scripts, and platform configurations are often treated as though they are the business. They aren’t. They’re simply one expression of how the business has chosen to operate.

The decision always comes first.

The technology comes second.

That distinction matters because business decisions typically outlive the software used to execute them. Platforms change. Vendors change. AI capabilities evolve. The business, however, still needs to decide who receives an offer, when a message should be suppressed, what qualifies a customer for a particular experience, and which exceptions should always be honored.

Those decisions belong to the business, not the platform.

Business Rules Are Just Data

At some point I realized something that now seems incredibly obvious.

Business rules are just data.

Not “like” data.

They are data.

They’re information about how your organization chooses to operate. They deserve to be treated as organizational assets that can be defined, governed, versioned, and shared across systems instead of quietly disappearing into the configuration screen of whichever platform happened to be implemented first.

When we don’t treat them that way, every transformation project starts with the same challenge. Before we can build something new, we have to rediscover how the business already works.

That isn’t transformation.

That’s archaeology.

A Hospitality Example

Consider something I see frequently in hospitality marketing.

A business decides that guests shouldn’t receive promotional messages while they’re actively staying at one of its properties. That’s not a technical requirement. It’s a customer experience decision. The business has decided that there are moments when serving the customer is more important than selling to them.

But somewhere along the way, that decision gets embedded inside campaign logic.

For years, everything works exactly as expected.

Then another platform is introduced.

Or another channel.

Or another team needs to apply the same rule.

Now someone has to recreate that business decision somewhere else.

Maybe they interpret it slightly differently. Maybe they forget one of the exceptions that accumulated over time. Maybe they don’t even realize another implementation already exists.

Nothing about the business changed.

Only the implementation did.

Before long, one business rule has quietly become five different technical implementations.

The One Ring Problem

There’s a Michele-ism I use a lot in meetings: “One Ring to rule them all.”

Usually I’m talking about having one canonical brief or one source of truth, but I think it applies here too.

Somewhere along the way, we handed one application responsibility for remembering how the business operates.

It worked beautifully until we needed another platform.

Or another channel.

Or another acquisition.

The software wasn’t just executing business rules anymore.

It had become the only place those rules existed.

That’s a risky position for any organization to be in.

Why This Matters More Than Ever

This way of thinking becomes even more important as organizations begin exploring AI.

Everyone wants AI to make smarter decisions, but AI can only reason over what the organization has actually represented. It needs to understand the conditions that influence decisions, the policies that should always be respected, the exceptions that matter, and the business principles that remain true regardless of which technology happens to be executing them.

Those aren’t prompts.

They’re business rules.

If those rules only exist as custom scripts scattered across half a dozen systems, AI has very little organizational intelligence to work with. Every modernization effort begins by rediscovering decisions the company already made years ago simply because those decisions were never represented independently from the software executing them.

A Different Way to Think About It

I’m not suggesting we create more documentation for documentation’s sake.

I’m suggesting we start treating business rules the same way we treat customer data or product information.

Give them names.

Define them clearly.

Assign ownership.

Represent them in a way that every platform can understand.

Sometimes that means metadata. Sometimes it’s a semantic layer. Sometimes it’s a governed taxonomy or a shared decision model. The implementation matters far less than the principle.

The business should own the rule.

Technology should consume it.

The Takeaway

I suspect this will become one of the defining characteristics of mature marketing organizations over the next decade.

It won’t be the size of their technology stack.

It won’t be how quickly they adopt AI.

It will be how intentionally they’ve separated business knowledge from technology.

Because technology will continue to change.

Your business shouldn’t have to rediscover itself every time it does.

Business rules were never software.

They were always organizational knowledge.

The smartest organizations simply choose to represent that knowledge as data instead of hiding it inside the tools they happen to use today.