What is the operating-system gap?

The operating-system gap is the distance between a firm's revenue and the systems running it. A $30M data and AI services firm still operating like a $10M one has the gap, and it reads as stalled growth, leaking margin, and a founder stuck in every decision.

Why do data and AI services firms stall between $10M and $100M?

Two clocks run at once. The first is altitude: services profitability sits at a five-year low, and about 87% of growth stalls trace to causes inside the company. The second is AI: it automates the knowledge work these firms sell, so demand and margin compress at the same time. The fix is rebuilding the operating system to match the altitude.

What is the moving floor?

The moving floor is the pace of the platforms a data and AI services firm builds on. They ship faster than the firm can certify its people or recoup its IP, so staying current has to become a standing discipline: build where you own the data or workflow, wait for the platform elsewhere, and fund ongoing enablement.

The field guide, in the open

The Operating‑System Gap

Why data and AI services firms stall between $10M and $100M, and the five systems that get you to the next altitude. This is the open reference behind the field guide: the terms I use, defined the same way everywhere, and the data underneath them.

Adam Jorgensen · Growth operator, Everest Partners

Most $30M data and AI services firms run a $10M operating system. That's the operating-system gap, and it's why growth stalls.

The stall is internal and predictable. Services profitability sits at a five-year low, and about 87% of growth stalls trace to causes inside the company. On top of that, AI is automating the knowledge work these firms sell, so demand and margin compress at the same time. The fix is a services firm that rebuilds its operating system to match its altitude. The full field guide scores your firm across five of the eight systems where the gap shows up. This page keeps the vocabulary and the evidence in the open, so you can check the work.

The vocabulary

Six terms do most of the work

Each one names a specific thing I look for when a data and AI services firm stops growing. Each is defined the same way everywhere I write or speak. Every term opens into its full definition.

The Operating-System Gap: The distance between a firm's revenue and the systems running it. A $30M data and AI services firm still operating like a $10M one has an operating-system gap, and it shows up as stalled growth, leaking margin, and a founder stuck in every decision.
The Five Camps: Everest Partners' model of the revenue altitudes a data or AI services firm climbs: Base Camp under $3M, Camp 1 from $3M to $10M, Camp 2 from $10M to $30M, Camp 3 from $30M to $100M, and the Summit above $100M. Each camp has its own wall, and what changes between them is the operating system, not usually the strategy.
Operator, not consultant: An advisor who embeds with the team, builds the system, and owns the number with them. The work is execution on the floor, measured by what actually moves.
AI strategy for the services CEO: The CEO's decisions about where AI moves a real number first, margin, cycle time, or decision speed. Name the metric, fund the last mile into production, and leave the engineering to the team.
The founder-led sales transition: The move from a founder who wins every deal on relationships to a team and a system that create demand. Pipeline collapses when firms hire reps before transferring the founder's knowledge and relationships.
Production AI: AI shipped into live operations where it moves a real number, like delivery margin or sales cycle. The test is the metric it moves in production, past the demo.

The evidence

The data behind the gap

9.8%

Services-firm EBITDA sits at a five-year low, with billable utilization at 68.9% against a 75% healthy bar.

SPI Research, Professional Services Maturity Benchmark, 2025.

87%

When large companies stall, the cause sits inside the business about 87% of the time, and smaller firms are no different. An internal wall is the one you can move.

CEB / Olson and van Bever, Stall Points.

~40%

Hiring for consulting roles runs about 40% below its 2023 peak as AI automates knowledge work, the thing a services firm sells.

Revelio Labs, 2026.

5.9x → 10x

Firms under $25M of enterprise value trade near 5.9x EBITDA, against roughly 10x at $100M to $250M. Scale is worth about four more turns at exit.

GF Data, 2026.

Score your own firm against the five systems.

The full field guide walks the two clocks, the Five Camps, and the five systems where the gap shows up, and it ends with a self-score you can run on your own firm in about ten minutes. Free, no call required.

Get the field guide Talk to Adam