AI Marketing OS
Tier 4 · Private
Not a retainer.
A capability transfer.
Most ongoing AI engagements create dependency — you need the consultant to keep the system running. The AI Marketing OS is built on the opposite principle: every month is designed to make your team more capable, not more reliant.
cadence
4-week monthly
Structured and predictable
FORMAT
Private
Your team only
Investment
Scoped on call
Fixed rate · not per seat
Minimum
3 months
Month-to-month after
Outcome
Capability transfer
Not ongoing dependency
Most ongoing AI engagements make you more dependent. This one makes you less.
The conventional model for ongoing AI support is a retainer — you pay monthly, the consultant keeps the system running, and the relationship continues indefinitely because it has to.
The AI Marketing OS is built around the opposite intent. Every month builds your team’s capability. The goal is for you to need less of Bee over time — not more. That’s how the engagement is designed. That’s how it’s measured. And when your team can run and improve the system without support, the engagement ends — because it worked.
The AI Marketing OS is right for you if…
You’ve installed AI workflows and want to go further — systematically
You’ve done a Sprint or built some workflows yourself. The OS is for teams who want to keep going with a structured monthly process rather than ad hoc experimentation.
You want your team’s AI capability to compound over time
A workshop builds knowledge. The OS builds a system — one that gets more capable every month. The value compounds. It doesn’t plateau after the first session.
You need to show measurable progress — to yourself or your leadership
The monthly Impact Report gives you something concrete: workflows activated, time saved, team capability metrics, 90-day roadmap progress.
The OS probably isn’t right if
Four defined weeks. Every month. No guesswork.
The structure is the same every month. The content changes as your team progresses. Click each week to see what happens.
Week 1
Alignment
Review where things stand, set the priorities for the month, and identify the highest-leverage next workflows.
The month starts with everyone aligned on what matters and why — not guessing what to work on.
Why this week matters
Without alignment at the start of each month, teams drift. Work gets done but it isn’t necessarily the most valuable work. Week 1 is short — typically one 60-minute call — but it sets the direction for everything that follows.
It’s also where Bee surfaces observations from the previous month that your team may not have noticed. Small friction points that are quietly costing time. Workflows that are being underused and why.
Week 2
Workflow Activation
Build and configure the workflows agreed in Week 1 against this month’s priorities.
By the end of Week 2, the workflows for the month are ready to use. Week 3 is where your team actually runs them.
Why this week matters
Most capability programs stop at training. The OS keeps building. Every month introduces new workflows — or improves existing ones based on what your team has learned by running them.
This is where the compounding happens. Month 3 builds on Month 2. Month 6 builds on Month 5. The system gets more capable because it’s actively being improved — not just maintained.
Week 3
Implementation Sprint
Deploy the workflows built in Week 2 — live, with your team, in your actual marketing operation.
The difference between a workflow your team uses and one that sits in a document is Week 3. This is where adoption actually happens.
Why this week matters
Most AI implementation fails at the point between “we built it” and “they use it.” The Implementation Sprint closes that gap every month — not by hoping the team figures it out, but by putting them in the room with the workflow running and helping them troubleshoot in real time.
It’s also where the real learning happens. The workflow that looked perfect in Week 2 often has a friction point that only surfaces when someone actually runs it on a real task.
Week 4
Training & Reporting
Team training session on everything activated this month, plus the monthly Impact Report.
The month closes with your team trained, progress measured, and next month planned. Nothing is left vague.
Why this week matters
Training happens on what was actually built — not on the tools in general. The session is specific, practical, and tied directly to the workflows your team will use next week.
The Impact Report is the accountability mechanism. You should be able to see exactly what changed every month. The report makes that visible — and gives you something concrete to share internally.
Every month you see exactly what changed.
The monthly Impact Report covers four categories. Not vanity metrics — things that tell you whether the engagement is actually working.
Workflows activated
How many new workflows are running in your marketing operation — and how consistently they’re being used.
e.g. 3 new workflows activated this month · content, campaign brief, reporting
Team trained
How many new workflows are running in your marketing operation — and how consistently they’re being used.
e.g. 4 of 5 team members operating content workflow independently
Time saved
How many new workflows are running in your marketing operation — and how consistently they’re being used.
e.g. 6 hrs/week reclaimed across content and reporting workflows
90-day roadmap progress
Where the engagement sits against the 90-day roadmap agreed at the start — what’s on track, what’s shifted, what’s next.
e.g. Month 2 of 3 · on track · next: reporting automation
The capability transfer principle
The goal is for your team to need less of us every month — not more.
Most ongoing engagements are designed to continue. The consultant manages the system. The client pays monthly. The relationship is stable because the dependency is stable.
The AI Marketing OS is designed to work against that model. Every month is structured to build your team’s capability — not to maintain a service your team can’t run without us. The engagement ends when your team can operate and improve the system independently. If that never happens, we haven’t done our job.
The 90-day roadmap tracks this explicitly. Month 3 should look different from Month 1 — not just in what’s been built, but in how much your team is doing themselves.
Month 5–6
Team independent
Team runs the system. We advise. Engagement closes — or transitions to AI Marketing Partner.
Monthly, with a 3-month minimum.
The rate reflects the complexity and scope of the engagement — team size, number of workflows, and the goals for the 90-day roadmap. Bee agrees the monthly rate on the discovery call, before the engagement begins.
After the 3-month minimum, the engagement runs month-to-month with 30 days notice to exit. Most teams run 4–6 months before transitioning to the Partner retainer or running independently.
01
Book a scoping call — free, no obligation
30 minutes. Bee understands your team, your current AI workflows, and what a monthly engagement needs to achieve.
02
Receive a scoped proposal with a fixed monthly rate
What’s covered each month, the 90-day roadmap, and one fixed monthly number. No surprises.
03
Confirm and the first month begins
Month 1 starts with the Week 1 alignment session and the 90-day roadmap. Everything is in motion from Week 1.
AI Marketing OS
Private · Monthly engagement · 4-week cadence
Scoped on discovery call
What’s included
3-month minimum. Month-to-month after. 30 days notice to exit at any time.
What regional marketing teams say after taking the scan
I expected a generic result. I got a specific breakdown of exactly where we were behind — and a recommendation I could take straight to my manager.
Eva Rodriguez
CEO, Regional health organisation
The distinction between the marketing programs and the leadership track was the thing that made sense of it for me. My team needed one thing. I needed another. Running them in parallel was the right call.
John Robers
Business owner, Regional agribusiness
Book a Discovery call
The first step is understanding where your team is now — and where the OS can take you.
The discovery call is 30 minutes. We will ask about your current AI workflows, your team’s capability, and what structured monthly capability building needs to look like for your organisation.
We will tell you honestly whether the OS is the right fit — and if it isn’t, whether the Sprint or another program is a better starting point.
What to expect after you submit
Tell us about your organisation
Book a discovery call
No commitment. We responds to every enquiry personally within 1–2 business days.
The AI Marketing OS in the offer ladder.
The OS follows the Sprint for most teams. Some come directly if they have existing AI workflows they want to systematise.
