Most AI shipped this year
will be turned off by next.

I redesign how founder-led service businesses operate, so AI does the work that doesn't need a human, and your team does the work that does. Not faster workflows. Different ones.

Recent and current clients

Quik!
European Watch Company
Crown & Caliber
Kalos Services
Air Force Research Laboratory
Quik!
European Watch Company
Crown & Caliber
Kalos Services
Air Force Research Laboratory

The thesis

Most AI work is making bad processes faster.

You've probably heard this before:

  • “AI will transform your business.” It might, if someone redesigns the process underneath it.
  • “Our consultants are AI experts.” Most of them are reading the same blogs you are.
  • “We'll automate your workflows.” Which is fine, if your workflows aren't broken.

I'm not selling that. I'm selling something different.

The first wave of AI in business was individual productivity. Better emails, faster docs, smarter search. The second wave was task automation. Agencies showed up, picked a workflow, and made it run a little quicker. Faster proposals. Auto-generated release notes. AI-assisted invoicing.

That isn't transformation. That's a coat of paint on a process that was probably broken to start with.

The real opportunity is harder. Most service businesses have processes built up over decades by people who optimized them around the constraints of human labor. Those constraints don't apply anymore. The work isn't to speed those processes up. It's to ask whether the process should still exist, and if it should, what the AI-native version of it looks like.

That requires three things most consultants and agencies don't have at once. Deep technical understanding of what AI can actually do. Product sense for how to redesign workflows around what humans are still uniquely good at. The empathy and change management instincts to walk a team through real transformation, where the answer isn't always more headcount or a faster version of what they were doing yesterday.

I've spent the last decade building that combination.


How I work

One operator. Full-spectrum work. With AI handling the volume.

I embed with founder-led service businesses. I sit in on customer calls. I work with your departments. I redesign the operations, build the AI systems that run them, and stay long enough to make sure they actually work in production.

The reason I can do this alone is that the work most fractional operators delegate (synthesis, documentation, ticket writing, release management, internal communications, analytics) is now handled by AI. I bring the patterns and frameworks for what AI can do well, and I build the agents and internal tooling each business needs. For specialized work outside my scope, I have a network I can bring in.

You hire one senior operator. You get the throughput of a small team without hiring a team.

What I bring

  • Patterns and frameworks for redesigning service operations using AI
  • A playbook for AI-era transformation without losing institutional knowledge
  • Over 10 years of product, design, and engineering experience
  • A track record of building systems that work in production, not just in demos
  • Direct, hands-on collaboration with your team and your customers

What you don't have to hire

  • A separate product manager
  • A separate designer
  • A separate AI engineer
  • A scrum master or release manager
  • Anyone to bridge the gap between strategy and what gets shipped

Recent work

Four industries. The same shape of problem.

Most of these started the same way. A founder-led business growing fast, feeling the squeeze of needing more capacity, suspecting the operating model needed to change but unsure what to do about it. The fourth was different. A defense research lab needed AI that researchers would actually trust and use. Different setting, same principles.

Defense research

Built AI that worked in production for the US Air Force, not just in demos

A consulting engagement with the Air Force Research Laboratory through Optimal Efficiency. AFRL needed an AI system to organize research data and accelerate how researchers find, share, and build on prior work. The constraint was the same one I run into in every AI engagement, just sharper: the system has to actually work in the hands of the people using it, not just demo well in a meeting.

400-person service business

Stood up the product, design, and BI functions for an HVAC, electrical, and plumbing operation

A 400-person service business operating across HVAC, electrical, and plumbing. The internal operating system handled every dispatch, proposal, time entry, and invoice, but had been built feature-by-feature for years without product or design discipline around it.

Luxury watch retailer

Shifted a sales-led 30-year retailer into a digital growth engine

A luxury watch retailer with three decades of retail history, a global clientele, and revenue that had always come through the sales floor and direct relationships. When I came in, digital was effectively a brochure. The infrastructure couldn't support real-time checkout, the team had no product discipline around technology, and the CEO was managing the tactical backlog himself.

B2B forms platform

Compressed a five-day form-building process to same-day delivery

A B2B forms platform serving wealth management firms. Each new form was taking five to ten days to build manually using an internal tool that had been in service for two decades. The bottleneck was blocking expansion into healthcare and government markets, where the volume of forms required would have been impossible to support at the existing pace.


The right fit

Founder-led service businesses ready to redesign how they operate.

You're growing, but every additional dollar of revenue requires nearly as much additional labor as the last one. You've heard about AI. You've maybe tried an agency or two. The result was a marginal improvement to one workflow, not a step change.

You're starting to suspect the real problem is the operating model, not the speed. You're right.

This tends to fit best when:

  • The founder owns the business outright
  • The work is high-judgment but high-volume, with credentialed experts at the center
  • You’re willing to redesign rather than just optimize
  • There’s room for honest feedback and real conversation about what’s working and what isn’t

The bigger picture

Why I'm doing this work.

White-collar work is restructuring. The skill that mattered for the last fifty years was knowing things. The skill that matters for the next twenty is building the systems that know things, and tuning them as they mature.

Most service businesses are not built for this. The people inside them have been incentivized for decades to optimize the old process, not redesign it. The transition from one to the other doesn't happen on its own. It also doesn't happen well when the people leading it understand the technology but can't read the room. Real transformation needs someone who can do both. Talk to a team about what's changing and why, in language they trust, while also being technical enough to actually build the thing.

Scalifyr exists because someone has to do this work, and most of the people positioned to do it are either too technical to talk to founders or too consultative to actually build. I'm trying to be the third option.


Trusted by

What founders and teams have said.

Jason became an extension of our leadership team. He connected business goals with technical execution, refined our development process, and made complex decisions simple to act on. The systems and clarity he helped put in place continue to move us forward.

Bryan Orr, President, Kalos Services

Jason is one of the best PMs I've collaborated with. He has that rare combination of technical acumen, strategic thinking, and interpersonal skills that makes him exceptional. He made everyone feel heard, in product planning sessions or quick hallway conversations. He genuinely sought to understand different perspectives and incorporated diverse viewpoints into his decisions.

Corey Robison, Senior Product Designer, WeSalute

Even with extensive responsibility, Jason is someone I can always rely on. He synthesizes complex concepts into plain English. He's a thorough product manager and a delightful person to work with. One of my favorite attributes is his ability to challenge an idea in a way that makes everyone think about it from a different perspective, and ultimately, create a better version.

Andrew Halliburton, Head of Product, Devscale


Recent and current clients

Quik!
European Watch Company
Crown & Caliber
Kalos Services
Air Force Research Laboratory
Quik!
European Watch Company
Crown & Caliber
Kalos Services
Air Force Research Laboratory

How an engagement starts.

If your business looks like the ones described above, I'd like to talk. The process is straightforward. A 30-minute call to see if there's a fit. If there is, a 90-minute working session where I begin the diagnostic. If we both want to keep going, we scope a real engagement.

I'm not the right answer for everyone. If we're not a fit, I'll tell you on the first call and point you toward who is.