Fractional AI operator · $10M–$100M
Hire the operator who owns KPIs and builds past your IT backlog.
I embed inside PE-backed and founder-led companies. I run the weekly revenue cadence, put my name on the scorecard, and ship the dashboards and CRM bridges your engineering queue would take quarters to clear.
Not ready to meet? Request a Private Revenue Memo
New to the model? What is an AI operator?
What is a fractional AI operator?
A fractional AI operator is a senior leader who embeds 2-3 days per week, owns revenue KPIs, runs the Revenue Cadence, and builds data pipelines and automations without waiting on internal engineering. Unlike an AI consultant, they stay until the P&L moves. I've run this model across 15+ growth engagements.
If your board asked for "AI leadership," the real question is usually execution: who owns the metric, who chairs the room, and who ships the fix before the quarter closes. Read the full definition.
Why companies hire a fractional AI operator
The leak is clear. The fix sits in IT.
Marketing, CRM, and product data do not connect. Revenue leaks before sales even touches the lead.
Decks do not move the P&L.
You already know what to fix. Nobody owns the weekly rhythm, the dashboard, or the product-to-sales handoff.
Another advisor adds slides, not speed.
Consultants recommend. Traditional fractional operators run the room. Your data bridges still wait in the queue.
I build the bridges myself.
Dashboards, CRM webhooks, and reporting workflows ship in the sprint, not after engineering clears a six-month backlog.
90 days. Fixed scope. Clear exit.
You get a diagnostic, installed cadence, at least one working automation, and a handoff when your team owns the rhythm.
A Growth-Stage Healthcare Marketplace
Cadence ownership plus fast funnel fixes. Same operator model I bring when the backlog is the bottleneck.
Read the healthcare case study- Track record
- 26+years in product and revenue
- Engagements
- 15+growth engagements
- Outcomes
- $150M+revenue influenced
How a 90-day engagement works
What does a fractional AI operator deliver?
Five phases. Working systems by week 4. Handoff when your team owns the rhythm and the numbers are moving.
Step 1 · Week 1-2
Diagnose
- Written audit of product-market fit, funnel leakage, and unit economics
- Invisible 40% map: where revenue leaks before sales engages
- KPI Tree drafted with named owners
Step 2 · Week 3-4
Install Cadence
- Revenue Cadence live: weekly standup, monthly review
- Operational dashboard connecting product data to pipeline
- Decision rights and escalation paths written down
Step 3 · Week 5-12
Execute & Build
- I chair the meetings. You get the rhythm, not another deck.
- CRM webhooks, reporting workflows, and data bridges shipped by me
- At least one automation patching a leak you already know about
Step 4 · Through the sprint
Own the Numbers
- My name on the scorecard for the KPIs we pick
- Weekly reporting against the board number
- Course-correction in the room, not after the quarter closes
Step 5 · Handoff
Transfer & Exit
- Ownership, maintenance, and escalation documented
- Your team runs the cadence without me
- Fixed scope. No open-ended retainer.
I'm not here to drop a deck and leave. I install the system and stay until the P&L moves.
Comparison
AI operator vs consultant vs traditional fractional operator
Same embedded operator model. Added build speed when the bottleneck is your engineering queue.
Consultant
Strategy deck and recommendations
Engineering: Advice only. Your team builds everything.
Traditional fractional operator
Operating cadence and KPI ownership
Engineering: Still waits on your engineers for the data layer
AI-amplified operator
Cadence plus working data infrastructure
Engineering: I build the prototypes and pipelines myself
View full comparison table
| Dimension | Consultant | Traditional fractional operator | AI-amplified operator |
|---|---|---|---|
| Primary deliverable | Strategy deck and recommendations | Operating cadence and KPI ownership | Cadence plus working data infrastructure |
| Meeting ownership | Attends when invited | Chairs weekly revenue and product reviews | Same, plus builds the dashboards those meetings run on |
| Engineering dependency | None (advice only) | Relies on your team to build what the plan requires | Minimal lift to start. I build prototypes and pipelines myself. |
| Success metric | Deliverable accepted | KPI movement on the scorecard | KPI movement plus shipped automations in production |
| Typical timeline | 6-8 weeks, then exit | 90-day sprints, 3-6 months | 90-day sprint with working systems by week 4 |
For the base model without the build layer, read fractional operator vs. consultant. For the AI-specific contrast, see AI operator vs AI consultant.
Proof
I build, not just advise
Live on this site
FAQ
Frequently asked questions
Hiring a fractional AI operator
AI operator insights
Definition, comparison, and how to bypass the engineering backlog.
What Is an AI Operator? Definition for $10M-$100M Teams
An AI operator embeds inside your company, owns revenue KPIs, runs the cadence, and builds data pipelines without waiting on IT. For $10M-$100M teams. Book a call.
AI Operator vs. AI Consultant: Which Hire Moves Revenue?
AI consultants deliver roadmaps. AI operators own KPIs and ship pipelines. Compare cost, timeline, and outcomes for $10M-$100M companies. Book a diagnostic.
Bypass the Engineering Backlog: AI Operator Playbook
Revenue leaks stall in the IT backlog. An AI operator maps the Invisible 40%, ships CRM bridges and dashboards, and owns KPIs. For $10M-$100M teams.
Next step
Book a 30-minute diagnostic
I'll name the three biggest revenue gaps I see and whether a fractional AI operator engagement is the right fit. Clear next step either way.
Not ready to meet? Request a Private Revenue Memo