I own the AI systems your marketing team runs every day.
One person accountable for what gets built, how the team adopts it, and whether it keeps working.
B2B teams I’ve worked with
I become your marketing team’s AI lead.
The job has four parts:
Find where the time goes.
We map your team’s workflows and put a number on each one — hours per month, cost per year. That decides what’s worth building.
Build the systems.
On your data, in your stack, in weeks. Working systems, not recommendations.
Get your team using them.
Training, weekly office hours, and systems your marketers run in plain English. Nobody needs to become technical.
Keep everything current.
New tools ship weekly. You get a straight answer on what to adopt, what to ignore, and what to stop paying for.
The fear with AI content is a thousand small inconsistencies wearing your brand down.
What I build
Every system below reads from your context and your standards — scaling output without diluting the voice.
A shared context system for the whole team
Your ICP, positioning, and brand voice in one place that every AI workflow reads from. Output sounds like your brand no matter who runs it. Teams running this get first drafts about 70% faster and cut new-hire onboarding from months to weeks.
Content systems with your standards built in
A style checker that learns your voice from your published articles and reviews every new draft in minutes, plus production pipelines and automatic refresh of aging content.
Win/loss intelligence
Your own sales-call transcripts turned into a living ideal-customer profile and competitor battlecards. The version this is based on cut a full refresh from 4 weeks to 2 hours.
Outreach triggered by real buying signals
Funding news, hiring sprees, a champion changing jobs, a closed deal gone quiet — tested against your actual won and lost deals first, so your team only automates the triggers that predict revenue. One team found their favorite intent signal showed up in under 30% of their wins.
CRM and lifecycle automation
Lead qualification, attribution cleanup, outreach drafted from CRM history. Vercel’s lead-qualification agent returned 32x ROI. 3Play Media’s CMO took reply rates from 18% to 46% with an agent built inside HubSpot.
Event and conference ROI
Ties pipeline and revenue back to each event, so next year’s budget is a decision, not a gut call.
How it works
We map where your team spends its time.
Every workflow gets a number — hours per month, cost per year.
We challenge every step before automating.
Some work should be removed, not automated. Automating a bad process gives you bad work, faster.
I build the highest-value system first.
On your data, in your stack, usually in two to three weeks.
I train your team on it.
Weekly office hours, documentation, and systems your marketers use in plain English. Most teams have watched an AI tool get bought and abandoned — nothing here rolls out on faith.
We keep the systems current.
AI systems go stale in about 90 days without fresh data flowing in. Maintaining them, and finding the next thing worth building, is the ongoing work.
Three ways to start
Working session
A half or full day with your team. We map the workflows, put numbers on them, and you leave with a ranked list of what’s worth building.
First build
One working system, built and adopted, in two to three weeks. Fixed scope, fixed price.
AI lead retainer
Ongoing: new systems, training, and the maintenance that keeps everything current. Month to month after the first system.
FAQ
About
Twelve years in B2B: enterprise sales, then marketing operations across HubSpot, Salesforce, Marketo, and Pardot, then demand generation. Building marketing systems since 2017 — migrations, workflow rebuilds, reporting.
The other half is content. Years of creating for LinkedIn, YouTube, TikTok, email, newsletters, and the web — around 90 podcast interviews, video production, and a deep working knowledge of how each channel performs. Along the way I led marketing at two B2B startups and ran a B2B media company for three years.
Now I help marketing teams implement AI at scale — figuring out what’s worth building, getting the team to change how it works, and building the roadmap so the improvements land immediately and compound from there.
Book a 30-minute call.
We’ll discuss what’s worth building, what isn’t, and anything else about applying and scaling AI with your team.
Book a call