The premise
I don’t advise on AI. I run a company on it.
Twenty people. Thirteen client accounts. A platform I built and ship to every week. On our first call, I’ll share my screen and show you what is actually running—then you can decide whether you want the same kind of operating leverage in your business.
Live now
What is already running.
These systems operate inside WIN’s agency workflows today. The point is not to sell you the same software. It is to show what production AI looks like when it is designed around the work.
Builds campaign calendars from brand rules, prior performance, commercial priorities, and revenue targets.
Turns an approved calendar slot into a designer-ready brief in the client’s brand voice.
Reads multiple marketing platforms together and tells account managers what changed and what deserves action.
Surfaces which accounts need attention before the team has to open a dashboard.
Checks campaigns against brand and compliance rules before they leave the building.
The gap
Most people selling AI have never had to run it.
There is a real difference between someone who has read everything about AI and someone who has had a system break at six in the morning with a client campaign inside it.
The first group sells a roadmap. The second knows which parts survive contact with an actual team—and which get abandoned because nobody wanted to change how they work.
Digital marketing leadership inside public and private-equity-backed companies, followed by eight years running WIN. Everything we would build for you has to be maintained, staffed, adopted, and defended to someone paying for the outcome.
How engagements start
Something working at the end of three weeks.
Every engagement begins inside the operation—with the people doing the work, the systems they use, and the economics that determine what deserves to be built.
The 90-Day AI Operating Plan
Three weeks · fixed fee · no retainer commitment
- 01Workflow map. Where the team’s hours actually go.
- 02Ranked opportunities. The top eight, scored on impact against effort—in hours and dollars.
- 03Ninety-day build sequence. What gets built first, second, and third, with defensible reasoning.
- 04CFO-ready business case. Cost, return, and payback period on one page.
- 05One live automation by day 21. Running in your stack and used by your people.
Fractional AI Lead
Two to three workflows a quarter · three-month minimum
- 01Own the prioritized AI roadmap and operating cadence.
- 02Design and ship custom applications, chat, voice, and automation systems.
- 03Work alongside internal leadership, operations, product, data, and engineering.
- 04Define evaluation, controls, human review, documentation, and adoption.
- 05Measure what people use, what the system costs, and what value it creates.
| Full-time hire | Fractional AI Lead | |
|---|---|---|
| Monthly cost | ~$21,000 | $9,000 |
| Productive in | 4–6 months | 2 weeks |
| Recruiting cost | $30–50K | $0 |
| If strategy shifts | Severance and morale | 30 days’ notice |
| Risk of a bad fit | Yours | WIN’s |
Evidence
Outcomes, not AI theater.
The commercial work came first. AI now helps WIN operate, analyze, plan, brief, and quality-check that work with greater leverage.
Year-over-year CRM revenue, with orders up 152%, on lifecycle programs rebuilt and now operated with AI in the loop.
CRM revenue nearly quadrupled, while automated flows moved from 3% to 54% of total program revenue.
Sustained across a quarter and peaking at 8.7×, with paid acquisition feeding a retention program built to hold onto demand.
These figures reflect specific client programs and periods; they are not a forecast or guarantee of future results.
What leadership teams ask.
What does a fractional AI lead own?
Opportunity discovery, roadmap decisions, solution design, prototyping, implementation, evaluation, documentation, and adoption. The precise boundary depends on your internal product, engineering, data, and operations capabilities.
Do we need an internal engineering team?
No. WIN can provide hands-on technical implementation for focused applications, chat and voice systems, automations, and integrations. When an internal team exists, we work alongside it and define clean ownership.
How do you reduce AI risk?
We define approved knowledge, access boundaries, human review points, evaluation criteria, logging, cost controls, and escalation paths based on the use case. Higher-impact decisions receive stronger safeguards.
Where should we begin?
Begin with one valuable, bounded problem where the current cost, delay, inconsistency, or missed opportunity can be observed. The 90-Day AI Operating Plan is designed to identify that sequence and put one useful automation into production.
Start by looking at it
My screen. The actual systems.
Tell me a little about what you are trying to improve. We will spend thirty minutes looking at what is already running inside WIN and whether the same operating approach belongs in your business.