Founders love the phrase “high-touch.”

Sometimes that means premium.

Sometimes it means the whole business still depends on heroic improvisation.

Those are not the same thing.

I like services. I like smart custom work. I like tailored strategy.

But I have learned this the hard way: if a service cannot be delivered with repeatable quality by people other than the founder, you do not yet have a scalable GTM engine.

You have a talented person with a calendar.

That is a very different business.

What changed

The market is less patient with custom chaos now.

Teams are under more pressure to move fast, margins are tighter, and AI is making buyers more aware of what should be faster, simpler, and easier than it used to be.

At the same time, internal operational drag is still huge. In Asana’s 2025 research on “work about work”, 60% of a person’s time at work is spent on coordination, status updates, duplicate work, and other effort that is not the actual skilled work they were hired to do.

That is a painful number.

Because if your service business already relies on custom delivery and tribal knowledge, that coordination tax gets even worse as you grow.

Asana’s guide on automating repetitive tasks makes the practical case for reducing that drag: automate repetitive work so teams can focus on high-impact effort instead.

That is not just an ops lesson.

It is a packaging lesson.

Why productized services matter

Shopify defines a productized service as a predefined, packaged service sold like a product, usually with a fixed price and clear scope.

I like that framing because it forces clarity.

The goal is not to make the work robotic.

The goal is to remove unnecessary variability.

A productized service does a few valuable things:

  • makes buying easier

  • makes delivery easier

  • makes pricing easier

  • makes delegation easier

  • makes AI and automation easier to apply

That last one matters a lot more now.

AI does not thrive in ambiguity.

It thrives in patterned workflows.

So if your offer still changes shape completely with every customer, you are making your team harder to scale and your AI stack harder to use.

My founder take

I used to confuse customization with value.

I thought the more bespoke the work felt, the more impressive it was.

Sometimes that is true. Often it is just operational vanity.

The customer usually does not care that your internal process is artisanal.

They care that:

  • the problem gets solved

  • the timeline is clear

  • the price makes sense

  • the handoff is smooth

  • the result is dependable

Repeatability increases trust.

And trust increases conversion.

That is why I think service businesses should productize more aggressively than they usually do.

Not all the way. But much more than feels comfortable.

What you should standardize first

Not everything should become rigid.

But these parts usually should:

1. Intake

Same questions. Same qualification threshold. Same definition of fit.

2. Scope

Clear boundaries. Clear deliverables. Clear timelines. Clear exclusions.

3. Milestones

Every project should have visible checkpoints.

4. Communication

Customers should not have to guess what happens next.

5. Review points

Quality should be checked on purpose, not by gut feel.

Once those are standardized, you still have plenty of room for judgment and customization inside the work.

That is the sweet spot.

The simplest productization model I know

Take your current service and split it into three layers:

Layer 1: fixed

This is the part that should be the same every time. Examples:

  • onboarding

  • audit process

  • reporting structure

  • kickoff flow

  • timeline milestones

Layer 2: configurable

This is the part that changes within a defined menu. Examples:

  • channel mix

  • audience segment

  • sprint focus

  • reporting depth

Layer 3: bespoke

This is the part where your real expertise shows up. Examples:

  • strategic diagnosis

  • prioritization

  • recommendations

  • exception handling

  • creative judgment

That structure is much easier to sell and much easier to scale.

A hands-on example

Let’s say you run a GTM consultancy offering “custom growth strategy.”

Sounds premium. Also sounds like a margin trap.

Here is how I would productize it.

Before

Offer: “We help companies improve go-to-market.”

Problems:

  • vague scope

  • founder-dependent sales calls

  • delivery varies by client

  • hard to price

  • hard to delegate

  • hard to train new team members

After

Offer: GTM Diagnostic Sprint

  • fixed 2-week timeline

  • one kickoff

  • one customer/revenue review

  • one messaging and funnel audit

  • one prioritization workshop

  • one final action plan

  • fixed price

  • optional add-on implementation sprint

Now you have:

  • clearer buying decision

  • faster proposal creation

  • easier internal handoff

  • better margin visibility

  • reusable templates

  • easier use of AI for analysis and draft prep

That is not less valuable.

That is more legible.

The AI angle most service businesses are missing

Here is the real opportunity.

Once the service becomes more structured, AI gets dramatically more useful.

You can use it for:

  • intake summaries

  • transcript analysis

  • diagnostic draft generation

  • meeting recap templates

  • recurring report creation

  • internal QA checklists

  • onboarding prep

But if every client engagement is a totally different snowflake, AI mostly becomes a glorified note-taker.

Structure is what turns AI from novelty into leverage.

The one-week exercise I would run

Monday

List every step in your last five client engagements.

Tuesday

Highlight the steps that were basically the same every time.

Those are your fixed layer.

Wednesday

Highlight the steps that changed, but only within a narrow range.

Those are your configurable layer.

Thursday

Highlight the steps that genuinely required senior judgment.

That is your bespoke layer.

Friday

Rewrite your offer page or proposal around those three layers.

Now ask:

  • what can be templated?

  • what can be automated?

  • what can be delegated?

  • what should remain founder-level for now?

That is how you start turning a service into a system.

My practical take

I do not think every service should become a rigid package with zero flexibility.

That usually makes the work worse.

But I do think most service businesses are under-systematized and over-customized.

And they pay for that in all the wrong places:

  • slower sales cycles

  • fuzzy pricing

  • harder delegation

  • weaker margins

  • more founder dependency

  • more operational drag

If your service cannot be repeated cleanly, it is going to be harder to grow, harder to staff, and harder to support with AI.

Repeatability is not the enemy of value.

It is one of the best ways to preserve value while increasing speed and scale.

The founder ego usually wants the work to feel special every time.

The business usually needs the work to feel reliable every time.

I trust reliability more.

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