Senior fractional CMO leadership for B2B SaaS — paired with the AI workflows, prompts, and training that let your team produce more output without adding headcount. When we step back, the capability stays.
Most B2B SaaS companies between $2M and $30M ARR have one of two AI problems. They are not technical. They are organizational.
A ChatGPT Team license, a Clay seat, and a Smartlead account sit unused because no one on the team has the seniority to define where they fit in the GTM motion. Tools without strategy are sunk cost.
Output velocity is up, but the work is generic, off-brand, and untethered from positioning. Speed without strategy compounds the wrong content faster.
Capability walked out the door with the vendor. The team is back to manual work — sometimes worse off than before, because expectations are now higher.
A two-person AI-leveraged team is out-producing your six. The gap is not budget. It is operating model.
A traditional fractional CMO solves the strategy problem. An AI agency solves the execution problem and then leaves. An AI-native fractional CMO solves both — and transfers the capability before stepping back.
Same fractional model. Same retainer structure. Same executive-level seat at the table. The difference is what gets built — and what stays after the engagement ends.
A traditional fractional CMO writes the playbook. A junior marketer or agency is supposed to execute it. The strategy is sound. The execution layer cannot keep up. Pipeline stalls.
What we do instead: Strategy and the AI execution layer ship together. By the end of the first 60 days, your team has working AI workflows for content, outbound, lead enrichment, and reporting — not just slides.
Companies buy ChatGPT Team, Clay, Jasper, and Apollo before defining ICP, positioning, or category. The tools amplify whatever was already there — including the noise.
What we do instead: Strategy comes first. ICP, positioning, and channel architecture get refreshed in the first 30 days. AI workflows are then trained on those decisions, not on generic best practices.
An AI agency runs your campaigns brilliantly. The retainer ends. Three months later, the team has reverted to manual work — and the institutional knowledge of what worked is gone.
What we do instead: Every workflow is documented in your environment. Every prompt has an owner. Every tool has a quality control loop. By month 4, your in-house team operates the system. By month 6, they're improving it.
If this matches the gap you've been trying to close, the next step is a 30-minute diagnostic call. Book a discovery call and we'll walk through your specific situation — your ARR, your team, your AI maturity — and give you a clear recommendation. No pitch, no slide deck.
Book a 30-minute diagnostic. We'll assess your team, your stack, and your strategy — and tell you exactly where AI leverage will move the most pipeline.