Episode Summary

Most professional services firms scale by adding people. More clients means more consultants, more payroll, and more complexity. The result is a margin ceiling that is difficult to break. In this episode of Leap to Scale, Greg and Justin unpack how to escape the hours-for-dollars trap by productizing what you already do. Instead of inventing something new, the key lies in identifying the repeatable processes, spreadsheets, templates, and expertise inside your business and turning them into scalable systems.

They explore how to spot bottlenecks, how to think about ROI and experimentation, and why AI dramatically expands what can now be automated. Most importantly, they explain why productization does not eliminate your team’s value. It elevates it. By shifting from “hand time” to “head time,” your experts move up the value chain, focusing on judgment, risk mitigation, and strategy while technology handles the repetitive work. The firms that break the hours-for-dollars curse will own the next decade.

Episode notes

• Why professional services firms struggle to scale profitably
• The fundamental difference between service fulfillment and product fulfillment
• How product companies achieve significantly higher margins than service firms
• Identifying bottlenecks inside your process
• Turning spreadsheets and internal templates into scalable systems
• Back-of-house automation vs. customer-facing productization
• Case study: Compensation analysis firm that quadrupled throughput
• Why automation does not eliminate jobs but elevates expertise
• “Hand time” vs. “Head time” and increasing strategic capacity
• How AI expands what is economically possible to automate
• Protecting quality and reputation while using AI
• Why knowledge is no longer the moat, process is
• Practical first steps: experiments, ROI analysis, and ICE scoring
• Why firms that fail to productize risk being disrupted
  

Episode Transcript

Greg: Hey Justin, how’s it going?

Justin: It’s going well. How are you doing, Greg?

Greg: I’m doing well. I’ve got a Duvel today. Haven’t had one in a while.

Justin: Man, I haven’t had a Duvel in years. Legendary beer. Is that a wit?

Greg: Belgian strong ale. And I’m drinking it out of a fancy glass.

Justin: Nice. I’ve got a Belgian-style white from Cigar City. There’s a bit of a theme here. Funny enough, this one was frozen in a block of ice in my mini fridge. When I thawed it out, four beers fell out of the ice. This one’s called Frost Proof, so we’ll see if it survived.

Greg: Surprise beer is the best.

Justin: Tastes fine. Different kind of ice beer.

Greg: Well, we’re not here to talk about beer. We’re here to talk about productizing services and how to increase margin in professional services companies using technology.

We run a professional services company ourselves. We’re not perfect at this. Sometimes the cobbler’s children have no shoes. But most professional services firms are locked into selling time. Lawyers, consultants, accountants, trainers. You bill hourly. There’s nothing inherently wrong with it. You can have a good life.

But compare that to product companies like QuickBooks or Jira. Those businesses can see margins far higher than a typical professional services firm. If a services firm is doing 25 percent gross margin at scale, they’re doing well. So the question is: how do you get off that hamster wheel, or at least increase margin using technology?

Justin: The core challenge is that service companies require human involvement at almost every step in fulfillment. Humans are not horizontally scalable. We’re single-threaded processes constrained by wall clock time.

So you can only scale as far as you have people to move things through the factory. In contrast, product companies have to build the thing once. After that, marginal fulfillment cost is near zero in many cases. The ten-thousandth customer often doesn’t cost much more than the thousandth.

That shifts the problem to demand generation. And demand generation can often be solved by putting more capital into marketing and sales systems. But you can’t just dump money onto fulfillment in a services firm and magically scale. You introduce managerial complexity, payroll complexity, personality complexity. Costs go up dramatically.

Greg: Right. If you want to 10x your law firm, you have to hire 10 times as many lawyers. Same for training companies or consulting firms.

But we’ve helped companies break that shackle. We’ve helped them move into recurring revenue and SaaS-style models. That’s what almost everyone in professional services should be thinking about.

Justin: Marc Andreessen said software is eating the world. Traditional service companies are becoming technology-enabled whether they realize it or not.

So you have to ask: what value do we actually deliver? If all our people quit tomorrow, how would we deliver that value? How could we automate part of it? Productize part of it?

Greg: McKinsey estimated that in 60 percent of jobs, about one third of tasks could be automated. That was years ago.

Think about a firm that generates reports. Environmental studies. Market research. Compensation analysis. There are spreadsheets, templates, intake forms, repeatable processes everywhere. The expertise lives in people’s heads, but the process is often structured.

If you walked in with a home organization consulting business, where would you start?

Justin: I’d look at throughput. Let’s say you have three designers who can do three appointments a day. That’s 45 appointments a week at full capacity.

If we want to double that, where’s the constraint? Probably driving time and in-home interviews. So maybe we introduce tiers. Concierge service where we visit. Lower-tier service where customers upload photos, floor plans, answer questions through a wizard.

Now we eliminate drive time. We productize the most time-consuming part. That alone might double output.

Greg: Almost every professional services company that scales has process. The founder was good at something. They built a checklist. Then they hired junior people to follow that checklist.

At some point, you ask: instead of hiring more junior people, can a computer follow the checklist?

If that logic lives in spreadsheets somewhere, why not turn that into an app? Let the system generate the baseline output. The human reviews, interprets, and refines. Now you can shift from time and materials to fixed fee, increase margin, and increase throughput.

Justin: Processes are your algorithm. They’re the formula of your business. So ask: which parts of this algorithm can be solved by computers? Which require human judgment?

You don’t have to become a flashy SaaS company overnight. Sometimes productization is back-of-house automation. The front door looks the same. Behind it, machines are doing more of the work.

Greg: We had a client doing compensation analysis in a regulated industry. Tons of spreadsheets. Highly structured process.

They worried automation would replace consultants. Instead, it quadrupled throughput. Customers entered data directly. The system flagged out-of-band compensation cases that legally required human sign-off.

Consultants stopped doing grunt spreadsheet work. They focused on judgment, risk mitigation, and client conversations. Same headcount. Four times the output.

Justin: That’s the key. It’s not replacing humans. It’s shifting from hand time to head time.

Hand time is robotic, repetitive work. Head time is strategic thinking and expertise. Automation increases head time. How many times have you heard someone say they don’t have time to think strategically because they’re too busy doing?

Productization creates space to think.

Greg: So how does a CEO decide whether to invest in this?

Justin: First, dollar and cents. In a perfect world, does this make financial sense?

Second, don’t treat it like a light switch. It’s an evolution. Run small experiments. Use ICE scoring. Impact, confidence, ease. Validate incrementally.

Greg: We usually list every process, identify bottlenecks, and find the most labor-intensive and repetitive task. Start there. Calculate cost savings and opportunity gains. Then move to the next bottleneck.

Professional service automation has shown meaningful margin increases. That’s transformative.

Justin: AI expands what’s economically possible. Five years ago, some automation ideas just weren’t defensible. Now they are.

But you still need expertise. AI isn’t magic. It requires context, prompting, scaffolding. The value proposition shifts from knowledge hoarding to process scaffolding.

Greg: Exactly. Knowledge plus process. AI can synthesize information, but expert interpretation still matters. I’d still want a lawyer reviewing a contract AI drafted.

Your secret sauce is your process. That’s what clients ultimately pay for.

If your business can’t make money while you sleep in the next five years, someone else will build one that does and compete on cost.

Justin: The market will find the most efficient way to deliver value. If you don’t productize, you risk getting run over.

Greg: The firms that break the hours-for-dollars curse will own the next decade.

If you’ve got questions, let us know.

Justin: Like and subscribe. Share with someone who runs a professional services firm.

Greg: And if you’ve successfully productized your services, we’d love to have you on the show.

Justin: Go to sourcetoad.com, hit contact, and tell us your story.

Greg: Thanks, everyone.

Justin: Have a great one.