The Myth of Domain Expertise in Technology Services

We are often asked:

“You’re building a software services company… but historically, great services firms are built one practice at a time — deep domain expertise, industry by industry.”

It’s a fair question.

For decades, this has been the dominant playbook:

Build vertical practices Hire domain experts Accumulate industry knowledge Sell “experience” as the differentiator

And to be fair — it worked.

But only because something fundamental was true at that time:

The cost of translating business reality into software was extremely high.

Where Does Domain Expertise Actually Live?

Let’s step back and look at this from first principles.

If you ask: where does real domain expertise exist?

It’s not inside software companies.

It exists within the business itself:

In contextual data spread across systems In unstructured documents — PDFs, emails, reports In informal workflows — spreadsheets, WhatsApp threads In the heads of frontline workers and operators In decisions made repeatedly over years, often undocumented

In other words:

Domain expertise is not a static asset. It is a living system embedded in operations.

Then Why Do Companies Still Buy “Domain Expertise”?

If businesses already have the expertise, why do they still:

prefer vendors with “domain knowledge” or bring in consulting firms to “bridge the gap”?

Because historically:

Translation was the bottleneck.

Turning domain knowledge into working software required:

long discovery cycles multiple layers of interpretation handoffs between business, consultants, and engineers repeated iterations with context loss

Every layer introduced friction:

misunderstandings delays incorrect assumptions misaligned builds

So companies optimized for the safest path:

👉 Hire someone who already “understands the domain” 👉 Reduce the need for translation

The Hidden Cost: Coordination

This is where the deeper insight lies.

Ronald Coase argued that:

Firms exist to reduce the cost of coordination between different activities.

In the traditional model:

Domain knowledge sits with the business Software capability sits with the vendor Consulting sits in between

The entire system exists to manage coordination between these layers.

And that coordination is expensive:

in time in money in lost context in failed outcomes

What’s Changing Now?

The assumption that “translation is hard” is breaking.

Not because domain knowledge is easier.

But because our ability to capture, interpret, and retain context is fundamentally changing.

With:

agentic systems persistent memory context-aware workflows real-time data ingestion

We are entering a world where:

knowledge transfer is no longer a one-time event — it becomes continuous.

The Shift: From Translation to Alignment

Earlier model:

Domain → (translate once) → Software → Deploy

New model:

Domain ↔ Continuous observation ↔ Interpretation ↔ Software evolution

The difference is profound.

Instead of:

trying to “get requirements right” upfront

We now:

continuously align software with how the business actually operates

Why This Changes the Structure of Technology Services

If translation becomes:

faster cheaper less lossy

Then:

👉 The need for pre-packaged “domain expertise” inside vendors reduces 👉 The role of consulting as a bridge weakens 👉 The boundary between business and software starts collapsing

The competitive advantage shifts.

From:

“Who understands the domain better?”

To:

“Who can continuously align software with reality faster?”

The New Hypothesis

Our belief is simple:

The winner will not be the firm with the most domain practices.

It will be the firm that minimizes the cost and latency of continuously translating domain reality into working software outcomes.

Not once.

But as an ongoing system.

What This Means for Businesses

Every physical-world business today is sitting on:

deep operational knowledge rich contextual data years of embedded decision-making

The question is no longer:

“Who has domain expertise?”

The question is:

“Who can encode this expertise into software fast enough to create compounding advantage?”

The Real Strategic Choice

Businesses now have two options:

Option 1:

Work with a technology partner that:

learns your domain slowly builds based on predefined understanding delivers in cycles

Option 2:

Work with a partner that:

continuously learns from your operations adapts software as reality evolves minimizes coordination cost over time

The Open Question

So the real question is:

Will you wait for your technology partner to “learn your domain”…

or work with one that can learn your business as fast as your business evolves?