Fractional Product & Revenue Operator for $10M-$100M Companies
Strategize. Embed. Execute. Without the engineering backlog.
I embed inside PE-backed and founder-led companies to build revenue engines that move. I own the KPIs, run the cadence, and build the data plumbing myself: dashboards, CRM bridges, and automations your IT queue would take quarters to ship.
Where growth-stage revenue stalls
Three patterns I see when the strategy is right but execution waits on IT
The leak is clear, the fix sits in IT
Marketing, CRM, and product data do not connect. Revenue leaks before sales touches the lead. Internal engineering has a six-month queue.
Strategy decks do not move the P&L
You know what to fix. Nobody owns the weekly rhythm, the dashboard, or the handoff between product and sales.
Hiring another advisor adds slides, not speed
Consultants recommend. Traditional fractional operators run the room. Neither ships the data bridges your revenue engine needs this quarter.
Consultant vs. operator vs. AI-amplified operator
Same fractional operator model. Added build velocity.
| 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 two-tier comparison (consultant vs. fractional operator), read fractional operator vs. consultant.
How a 90-day AI operator engagement works
The Revenue Cadence plus shipped infrastructure
- Week 1-2: Diagnostic audit of product-market fit, funnel leakage, and unit economics. I map the Invisible 40% and draft your KPI Tree.
- Week 3-4: I install the Revenue Cadence and build the live operational dashboard connecting product data to pipeline.
- Week 5-12: I run the meetings, own the KPIs, and ship lightweight automations (CRM webhooks, reporting workflows, data bridges) using AI-native build tooling.
- Exit: Clear handoff when the numbers move and your team owns the cadence.
Proof: I build, not just advise
Live on this site
Product Thinking Coach
I designed, structured, and shipped this functional diagnostic application using AI-native build tooling. When I embed in your company, I bring the same asset-light methodology: operational prototypes and data bridges during executive sprints, not slide decks about what engineering should build next quarter.
Frequently Asked Questions
AI operator engagements
AI operator insights
Definitions, comparisons, and execution playbooks.
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.
Ready to bypass the backlog?
Book a 30-minute diagnostic. I will name the three biggest revenue gaps I see and whether an AI operator engagement is the right fit.