The Problem with Most Consulting
Most consulting engagements follow a predictable arc:
- Discovery interviews (2-4 weeks)
- Analysis and benchmarking (2-3 weeks)
- Strategy deck (1-2 weeks)
- Final presentation
- Consultant leaves
Six weeks. Beautiful slides. Minimal change.
I've been on the receiving end of these engagements as an operator - and I've watched founders pay $50K-$500K for documents that ended up in a Google Drive folder nobody opened again. The recommendations weren't wrong. They just weren't actionable for that specific team in that specific context.
That gap - between recommendation and reality - is where most value gets lost. Closing that gap is what I built my method around.
What an Operator-Consultant Actually Is
I'm a consultant who's been an operator. The distinction matters.
Traditional consultants train in consulting. They learn frameworks, develop deck-making skills, study case studies, and apply playbooks. They're often brilliant analysts.
Operator-consultants do consulting after spending years doing the work themselves. Their pattern recognition comes from having scars - not just theories.
What I bring to engagements isn't framework application. It's:
- Lived experience scaling tech teams from 30 to 150
- Built systems that processed 500K+ loan requests in regulated environments
- Shipped products serving 100K+ customers
- Hands-on AI building - I run multiple AI-powered apps and websites today
- Decision science sharpened through 10+ years of competitive poker
- Cross-functional fluency - I've been the engineer, the PM, the system analyst, the product leader
This means when I diagnose your organization, I recognize patterns from having lived inside them. When I recommend changes, I know what they'll cost to implement because I've implemented them. When I stay through delivery, I can actually do the work - not just supervise it.
The Four-Phase Method
Phase 1: Diagnose Reality (Not Org Chart)
Most assessments start with the org chart. Mine starts with reality.
The org chart tells you how decisions are supposed to be made. Reality tells you how they actually are. Those are usually different - and the difference is where the dysfunction lives.
What I look for:
- Who really makes which decisions (regardless of titles)
- Where work piles up vs. flows smoothly
- Which "processes" are documentation that nobody follows
- Which informal workarounds are actually keeping things running
- Where culture cracks under pressure (not in good times)
- Which people are quietly load-bearing (and what happens when they leave)
This phase takes 1-2 weeks. The output isn't a 100-page report. It's a sharp diagnosis of what's actually happening, what will break under growth, and what's hiding in plain sight.
I always assume the system is producing exactly what it's designed to produce. If your team is missing deadlines, the system is incentivizing that somehow. If your culture rewards heroics, the system needs heroes. Don't blame people - audit the system that created the behavior.
Phase 2: Design Honestly
Most consulting recommendations are theoretical best practices. Mine start with what will actually work given your constraints.
I design with three questions:
- What will the team actually adopt? If your team won't run it, the design doesn't matter.
- What's the cost in attention? Every new process taxes the team. Is the value worth it?
- What can be removed? Most organizational improvements come from subtraction, not addition.
The output of this phase is a prioritized action plan - what to do first, what to skip, what to consider later. Each recommendation has:
- The problem it solves
- The expected outcome
- The cost (time, money, attention)
- The risks if poorly executed
- Who owns it
No vague "improve communication" recommendations. Specific, attributable, measurable changes.
Phase 3: Deliver Embedded
This is where I differ most from traditional consultants.
I don't drop a strategy deck and disappear. I stay through implementation - acting as a fractional product/project manager, embedded coach, or program lead, depending on what the engagement needs.
What "embedded" actually looks like:
- Joining your team's standups, planning meetings, or leadership syncs
- Owning specific workstreams (not just advising on them)
- Coaching managers through hard conversations
- Building documentation, frameworks, and tooling that makes the change stick
- Working alongside engineering, product, and operations as needed
This phase typically runs 4-12 weeks but can extend longer for major transformations. The shape adjusts to what the project needs - not a fixed retainer for fixed hours.
Phase 4: Transfer Knowledge
The engagement ends when your team doesn't need me anymore.
This is the opposite of most consulting business models - which are designed to extend engagements indefinitely. Mine is designed to end them.
What I leave behind:
- Documentation of new processes, decisions, and frameworks
- Trained team members who can run the new systems
- Decision criteria so future leaders make consistent calls
- A clear "next chapter" plan - what to monitor, when to revisit
If I've done my job, you'll come back to me for the next challenge - not because you still need me for this one.
Why Cross-Disciplinary Thinking Matters
Most consultants specialize narrow. Pure strategy. Pure HR. Pure tech architecture. Pure financial.
I'm deliberately cross-disciplinary - and I think that's why my work compounds:
Tech leadership
Lets me diagnose architecture, processes, and engineering culture. I can read your codebase enough to know if it's a debt problem or a culture problem.
Decision science (sharpened by poker)
Lets me see decision quality vs. outcome quality. Most companies optimize for outcomes - I optimize for the decision-making process that produces consistent outcomes over time.
AI building (active practitioner)
Lets me give honest AI recommendations. I run multiple AI-powered apps myself - I know which AI use cases deliver value vs. which are demos. I won't sell you AI hype.
Coaching and communication (NVC, behavioral frameworks)
Lets me handle the human side of change. Most strategy doesn't fail because it's wrong - it fails because people resist it. I can navigate that resistance.
System analysis
Lets me see organizations as systems with feedback loops, not just charts of people. The best diagnoses come from seeing the system, not just the symptoms.
The combination means I can address the technical, strategic, and human dimensions of change simultaneously. Most consultants pick one. I think organizational problems are always all three.
What I Don't Do
Honesty about constraints:
- I don't do enterprise transformation. If you're a 10,000-person org needing a 5-year change program, I'm not your fit. I work best with growing companies (50-500 people) and established organizations needing focused transitions.
- I don't do pure strategy. If you want a deck and no implementation help, hire a Big Four firm. I work where strategy meets execution.
- I don't pretend to know everything. If a problem is outside my expertise, I'll tell you and recommend someone better. I'd rather lose an engagement than over-promise.
- I don't do open-ended retainers. Engagements have clear scopes, milestones, and exit points. The goal is to make myself unnecessary.
The Single Question I Ask Every Prospect
Before I take an engagement, I ask one question:
"If we don't fix this, what's it costing you in 12 months?"
If they can answer specifically - lost revenue, lost talent, slower decisions, missed market window - we have a real engagement.
If they can't answer specifically, the problem isn't urgent enough yet. They'll either fix it themselves, hire someone cheaper to make a deck, or come back when the cost becomes clear.
The most successful engagements are the ones where the cost of inaction is concrete and the team is ready to actually change. That readiness is what makes consulting work - and most consultants don't screen for it.
Who This Approach Is For
The operator-consultant approach fits when:
- You need actual change, not just analysis
- You value being told the truth over being told what you want to hear
- You want a consultant who can do the work, not just advise on it
- You want clear scope and exit criteria, not endless retainers
- You're growing, transitioning, or scaling and the stakes are real
It doesn't fit when:
- You need brand validation more than results (hire a name-brand firm)
- You want recommendations you don't have to implement
- You're looking for the cheapest possible option
- Your organization isn't actually ready to change
That clarity helps both sides. Honesty about fit is the first deliverable.
Sound Like the Right Approach?
Free 30-minute call. Tell me about your organization, your challenge, and where you're stuck. I'll tell you honestly whether I'm the right fit - and if not, I'll usually know who is.
Book a CallFrequently Asked Questions
How is the operator-consultant approach different from a fractional executive?
Overlap exists, but it's different. A fractional executive owns a function (fractional CTO, fractional CMO). I own a problem or transition. Sometimes that means PM-style ownership, sometimes coaching, sometimes program management - whatever the project needs. More flexible than a fractional role, more embedded than traditional consulting.
How long do typical engagements last?
Diagnostic-only: 2-4 weeks. Diagnostic + design: 6-8 weeks. Embedded delivery: 3-6 months. The shape depends on what the engagement needs - I scope it together with the client, not by formula.
Why should we hire you over a name-brand firm?
If you need brand validation for a board, hire a name-brand firm. If you need actual change, hire someone who's done the work. Different problems, different solutions. I'm honest about which you need.
What if you're wrong about the diagnosis?
I document my reasoning so you can challenge it. If a recommendation isn't working in delivery, we adjust - not abandon. The whole point of staying embedded is catching mistakes early. Real-world feedback beats theoretical correctness every time.
About the author: May Mor is a Scale Architect, AI Builder, and competitive poker player. She runs Scale with May, working with growing companies and established organizations on scaling, AI transitions, and organizational design.