Methodology

How we rank.

One metric, five revenue bands, three verification checks. This page is the complete rulebook — if something about a ranking isn't explained here, tell us and we'll fix the page.

Section 1

The metric: revenue per delivery head.

Revenue per delivery head = annual revenue ÷ people who directly deliver client work.

Delivery headcount excludes sales, marketing, operations, finance, and admin. It's the client-facing team — the people whose work turns into client outcomes.

Why this number? Because it's the cleanest signal that AI is actually doing the work. The efficiency gain isn't about working harder or billing more hours — it's a direct function of embedding AI into how work gets done. Traditional firms land around $200–300K per head. The firms on this list start at $500K and go past $1M. That gap is the entire story.

The approach is borrowed from the Lean AI Leaderboard, which tracks revenue per employee at AI-native product companies. We adapted it for services — where the denominator is delivery headcount specifically, because that's where the leverage shows up.

Annual revenue

Delivery headcount

The people who directly deliver client work — not sales, not ops, not admin.

$200–300K

Traditional firms

$0K

The firms on this list

Section 2

How revenue is submitted.

To protect confidentiality, you submit revenue in bands — not exact figures. Within each band, firms are ordered by revenue-per-delivery-head, using the band midpoint for the calculation. Band-to-band ordering is deterministic. Within-band ordering is a best-faith estimate.

Band 01$1M – $3M
Band 02$3M – $5M
Band 03$5M – $10M
Band 04$10M – $25M
Band 05$25M+

Section 3

What we verify.

01

The firm exists

The firm exists and the website matches the submission.

02

Headcount checks out

Headcount against LinkedIn and the firm's own team page.

03

AI is genuinely in delivery

We read the submission and check the public record.

We don't verify revenue figures in V1. Submissions are taken in good faith — and we remove firms if submitted data turns out to be materially false.

Section 4

What gets compressed.

A traditional services firm spends roughly 63% of delivery hours on coordination — meetings, handoffs, status, rework — and 37% on the build and configuration itself. AI-native firms shrink build work somewhat too, but the dominant gain is compressing the coordination tax. Same output, far fewer hours, more throughput per delivery head.

Traditional firm — 100 delivery hours

63%
37%

AI-native firm — same output

30%
22%

Same output — about half the hours.

Coordination — meetings, handoffs, status, reworkBuild & configuration

0.0×throughput per delivery head

Section 5

How the Watchlist works.

The Watchlist is separate from the ranked list. It's an editorial set of firms we're tracking on publicly observable signals:

Team size
AI-first language in service descriptions
Productized offerings — named services, platforms, accelerators
Client logos relative to headcount
AI-specific hiring patterns
Founder POV on AI in services

Firms on the Watchlist haven't submitted data. Inclusion is editorial. Firms can request removal, or submit data to move to the ranked list.

Section 6

Corrections.

See something wrong with your listing? Want off the Watchlist? Email data@ferrisai.com. We respond within 5 business days. We remove firms from the ranked list if submitted data turns out to be materially false.

Section 7

Why we built this.

Services is the bottleneck to making AI useful in the real world. Every technology paradigm shift — and this is the big one — depends on services to reach the organizations and people it's supposed to help. Without services, the technology stays in the lab.

That makes moving this industry forward critically important. For every $1 spent on software, $6 is spent on the services to implement it. Rewriting the economics around that — from hourly billing to outcome pricing, from labor-intensive to AI-augmented — is one of the largest opportunities in the economy.

Revenue per delivery head is the single cleanest metric for separating firms that have actually operationalized AI from firms that have added it to the pitch deck. AI Native Services makes the difference legible.

If you run one of those firms, this list exists to make that visible. If you're building toward it, this list is the benchmark.

At Ferris, we're building the software platform that makes AI-native service delivery possible — which is why we publish this leaderboard.

— The Ferris team

Three minutes. That's the whole submission.

You share your revenue band, team size, and how AI is embedded in your delivery. We verify and publish.