Does your team have AI tools, or AI capability?
Your team has the tools. What is missing is the architecture to know what to build, the workflow to run it on your funnel, and the governance to trust what comes out. We close that gap, in GTM and marketing.
Your team has the tools. The way they work has not changed.
Look closely and it is the same work, slightly faster. Four sentences we hear on almost every call.
We bought the licenses and nobody is really using them.
A handful of people figured it out. Everyone else tried once, got a mediocre answer, and went back to the old way.
We did the training and nothing stuck.
One session on prompting, one on a tool that changed the following quarter. One-offs create awareness, not capability.
Two people use it properly and the rest went back.
Capability living in two heads is a staffing risk, not a system. It leaves when they do.
We cannot prove any of this is working.
The board wants to know if the spend paid off. You measured attendance, because nothing measured whether the funnel moved.
One learns it. The other carries it.
The Academy
Your team learns it by doing it. A private workshop, half a day or one week, then a membership that keeps the routine alive and turns your fastest learners into champions.
- Half day or one week workshop, private to your team
- Champion coaching, so it survives without us
- Monthly or annual, dates scheduled around you
Agentic Partner
Training sets it up. This keeps it running. Monthly sessions on your live work, architecture review, and the support that carries the system as the ground moves.
- Your own skill and context library
- Architecture review and evaluation layer
- Operations, maintenance, and consulting support
It is not a tooling problem. It is a capability problem.
Two tracks. One learns it, the other carries it.
The Academy takes your team from curious to capable and leaves champions behind. Agentic Partner picks up when the system itself needs carrying. Most teams only ever need the first three.
Curious to capable
Half a day, or a week if you want champions. Private to your team, run on your own GTM work. Your use cases mapped, your context and voice files built in the room, and everyone able to say what is worth automating and what is not.
The plan, applied
Which workflows to apply where, ordered by ROI and business case rather than by what is easy, each with an owner and the KPI it is measured on. Your team runs MAPE on them: Monitor, Analyze, Plan, Execute.
Champions, monthly
A live workshop and an office hour every month, the library kept current, and coaching for the people carrying it. Your champions run the routine and onboard new joiners without us in the room.
Build, review, measure
A build session on one live use case, an architecture review of what aged and what to retire, a private office hour for the people who own the agents, and the measure at the end of the month.
MAPE at system level
The same loop your team learned, run on the architecture rather than a single workflow. What every agent is producing, what a model change broke, and whether it is still worth running.
Standards across teams
Deployment support while your team builds the next set, shared standards so quality does not swing between teams, and internal trainers running the next intake.
Most teams start at 01 and stop after 03. Track two exists for the ones who do not.
The MAPE loop
Named, so your team can repeat it without us in the room.
Monitor
The signals worth watching in your funnel, and the noise that is not.
Analyze
What the signal actually means, and whether it is worth a response.
Plan
The response, sized against the business case rather than the novelty.
Execute
Run it, review it against the KPI, and feed what you learn back in.
What you learn in Execute changes what you Monitor.
What the room looks like on the way out.
The teams that stall share one thing: no champion. It is why we ask for one before you enroll, and why we would rather turn a team down than take the fee.
Trusted by teams and leaders at
Treat Agentic GTM capability the way you treat your CRM.
Nobody buys a CRM once and expects it to still fit the business five years later. It gets a budget line, an owner, and a review cycle, and it compounds because of them. AI capability works the same way, and it is almost never funded the same way.
A line item with an owner and a renewal date, the way your CRM is funded. Training bought as a one-off event has nobody accountable for it in month four.
Your funnel, your CRM, your voice files. Nothing is practiced on a sample dataset, so what your team builds in the room is in production on Monday.
Three numbers agreed before we start: hours back, cost switched off, and pipeline influenced. We read them at day 25 and day 90.
The review decides the next cycle. If a number did not move we change what we are doing rather than renew quietly.
A one-off workshop stops at the second step. That is why nothing sticks.
We meet your team where it actually is.
There are six stages and most teams are in the first two. Open the one that sounds like your week, or let us name it for you.
What the investment is expected to give back.
Training is bought from a budget line, so it should be defended like one. Three areas, what to expect in each, and the caveat that comes with it.
Time back, per role
Teams report task completion running 30 to 50 percent faster once the training is real rather than a license. The gain compounds, because a workflow one person automates is a workflow the whole team stops doing by hand.
Hours per week on the three workflows we agree up front, counted before the workshop and again at day 25.
The honest part. It lands unevenly. People who write, research, and analyze feel it in the first week. Technical teams take longer before the curve turns, and pretending otherwise sets you up to look wrong at day 30.
Money that stops leaving
The savings worth counting are the concrete ones: a subscription canceled, a contractor not renewed, a manual process retired.
A named list of subscriptions, contractor lines, and manual processes, with the dollar value beside each and a review at day 90.
The honest part. Efficiency is not a saving until something is actually switched off. We only count line items your finance lead can point at, not notional time value.
Pipeline the system touches
Faster campaigns, better qualified leads, and offers that ship in days rather than quarters. How fast this arrives depends almost entirely on how well the team was trained, not on which model you bought.
Stage conversion and influenced pipeline on the funnel we agree, measured against the baseline taken in week one.
The honest part. Attribution gets messy the moment AI touches several functions at once. That is why we set the baseline before the workshop, not after, and why we report influenced pipeline rather than claiming caused revenue.
No baseline, no ROI claim.
We agree the three numbers before the workshop starts and read them again at day 25 and day 90. If a number did not move, we say so and change what we are doing. A training partner who cannot show you the baseline is telling you a story.
From “by feel” to a system her team can run.
Tania Millan leads Digital Experience and Strategy at Forum Health. The skill was there, the structure was not, and everything lived in scattered individual workflows. Framework first, then the master agents, then the repo shared with her team.
This course put structure around things I’d been doing by feel. She makes strategy and AI in marketing converge in a way that’s practical.
Tania Millan, Sr. Manager, Digital Experience & Strategy, Forum Health
What leaders are saying
Real results from teams that build the system themselves.
"Grace did a great job providing an overall framework for how to set goals for AI projects, define workflows, and establish governance. She combined this with live demos on building agents for surfacing prospects that match your ICP."
Craig PremoDirector of Marketing, RosmanSearch"This course put structure around things I'd been doing by feel. Grace's frameworks build on each other; every module sharpened the last, and she makes strategy and AI in marketing converge in a way that's practical."
Tania MillanSr. Manager, Digital Experience & Strategy, Forum Health"Hands-on and interactive. Good at showing that it is possible to build a stable context structure and then interesting content from small everyday snippets like transcripts."
Maibritt Harritz GrosenChief Operations Officer, Clearwater"Grace is an inspiring leader with a real gift for making complex ideas feel clear and approachable. Whether you are just starting out or looking to take things to the next level, her guidance and insights are incredibly valuable."
Toey ChitmanasakRegional CRM & Data Manager, Michelin"Really useful course, whether you are new to AI agents or already have some experience. It meets beginners where they are and still gives intermediate users real depth. You walk out with working agents you can refine and start using right away."
Geraldina Scarascia OlsonFractional Marketing Leader"Grace is an amazing mentor with a deep understanding of AI and its applications. Her insights into using automation for marketing workflows and integrations have been invaluable to me."
Martha CruzMarketing Manager, SPI BorescopesYou own the system, from day one.
Yours on handover
Every prompt, template, context file, and agent. We build it with you and hand over the whole thing. Not an agency you rent.
Measured at every stage
Conversion tracked stage by stage and a CRM agent watching every lead. You see where it leaks, not a vanity dashboard.
Your brand and voice
It runs on your real words, and a voice check scores every draft before it reaches you. Nothing publishes itself.
A proven method
Up to 50% conversion uplift at Microsoft and 90%+ growth across 12 markets at Canon, now run on this exact system.
Free, live, and on your own work.
The three agents every GTM team should build first
See the next dateHalf a day or a full week, scheduled around your team
See the AcademyWhat you are actually thinking
A license is a tool. This is the capability to apply it: what to build for your funnel, how to run it, and how to tell good output from bad. Tools change every quarter. The capability does not.
The honest question back is: what is still running from it? Generic AI training teaches the tool. It does not teach a marketing team to build an agent that respects your funnel, your voice, and your CRM, or how to measure whether it worked. We train inside one domain, on your own live work, against a measurement framework you agree up front.
Then the capability is in the system and the library, not in the person. That is the whole reason we build champions rather than a single owner, and why new joiners get onboarded at any time without a new purchase.
Five more on the Academy page.
Does your team have AI tools, or AI capability?
Six stages, and most teams are in the first two. Find the one that sounds like your week, and we will take it from there.