The agentic AI capability your GTM team keeps.
We close the gap between AI tools and AI capability, in GTM and marketing.
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.
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.
Real change happens when a team understands not just what to do, but why it matters and how it fits the work they already own. So we train inside one domain rather than across all of them, on your live GTM work, against a measurement framework agreed before we start.
What leaders are saying
Growth, GTM, marketing, and operations leaders who put the frameworks and the training to work inside their own teams.
"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, establishing an outbound sequence of LinkedIn or email communications, and developing content for various platforms."
Goals, workflows, governance, agents that surface prospects matching your ICP, and the outbound behind them. That is the agentic growth system, listed back to us by a Director of Marketing.
"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. The live demos make it all click, and I left every session full of ideas."
Structure around what a senior operator was already doing by feel. That is the whole job: turn instinct into a system the rest of the team can run.
"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. I would highly recommend her to anyone looking to deepen their understanding of AI strategy or leadership."
She runs CRM and data regionally at Michelin, the kind of leader who can tell a real system from a demo.
"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."
The stable context structure decides everything downstream: whether your agents sound like you, or like generic AI written for everyone and therefore no one.
We meet your team where it actually is.
What your team needs depends entirely on where you are in the build. There are six stages, and most teams are in the first two. Hover the one that sounds like your week.
Stages can be skipped or repeated. A team with strong data foundations can start at Scale, and a reorganization can move a team back a stage. Where you are is what matters, not how big you are.
Two programs, run together on purpose.
Learn it by building it, and keep it working by being trained on it.
The Academy
Group agentic AI training for GTM and marketing. Coaching for the whole team, on your own live GTM work. Start with a team workshop or the full program, scoped to your stage, then keep the capability current on subscription: the full library, a live build every month, a private office hour, and onboarding for every new joiner. Your workshop fee credits against the first quarter.
Explore the AcademySolutions and deploymentAgentic Partner
Training sets it up. This keeps it running. Monthly sessions on your live GTM work, your own skill and context library, architecture review, and the operations, maintenance, and consulting support that carry the system as it grows and as the ground moves underneath it.
Explore Agentic PartnerBuilt for the team that owns the number.
Growth, marketing, and revenue teams
A GTM function of five to fifty people, in a company where someone owns a growth number and has a budget line for capability. Marketing, growth, demand generation, lifecycle, RevOps, and the CRM that ties them together. Your team builds it, and your team keeps it.
Independent experts and consultants
Advisors, consultants, and fractional operators who want the same capability for their own practice. Same library, same live builds, same frameworks, at an individual price rather than a team one.
Not for you if you want it done for you and nobody on your side will touch it. This trains a team to build. If there is no team willing to build, there is no product here.
Why teams work with AI Strategy League
We close the gap between having AI tools and having AI capability, and we do it inside one domain. Working knowledge of the tools gets translated into your vertical, GTM and marketing, so it lands on your funnel rather than in the abstract, with a clear ROI and measurement framework agreed before we start.
Talk to GraceWhat 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.
They can learn the tool online. They cannot learn what to build for your funnel, how to govern it, or how to keep it current, and they will not do it on a schedule. The live cadence is the part that makes it stick.
Then the capability is in the system and the library, not in the person. New joiners get onboarded at any time without a new purchase. That is precisely what a subscription buys you.
No. We train your team to build, and we support the build while they do it. Your team produces the work and keeps every agent, prompt, and context file. If nobody on your side will touch it, this is not the right fit and we will say so early.
We agree the use cases, the KPIs, and the ROI measure before the training starts, so there is a number to check against rather than a feeling. The one we watch hardest is how many agents are still running at ninety days.
Productivity tends to move within two to four months of proper training, and a full return lands closer to twelve to eighteen. We would rather tell you that up front than promise you a quarter.
Yes. Everything is directed in plain language, no code. Where code is involved, AI writes it and we show your team how to direct it. The method, context and specs before build, is what makes the output good.
Find out where your team actually is.
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.





