The agentic AI capability your GTM team keeps.
Your team has the AI tools. What is missing is the architecture to know what to build, the workflow to run it on your own funnel, and the governance to trust what comes out.
Trained 3,000+ professionals. Led AI adoption across 12 markets at Canon.
Trusted by teams and leaders at
The training worked. Six months later, nothing was still running.
Your team went to an AI training day. Everyone came back energised. A few people built something impressive. Then the tools changed, the person who built it moved on, and the work looks the way it always did.
That is not a bad workshop. That is what a workshop is. One-time training creates a spike of knowledge that fades, because the ground moves faster than an annual course update.
Treat GTM capability the way you treat your CRM.
Not an event. A layer your team runs, keeps current, and owns.
After leading AI adoption across 12 markets at Canon, and then rebuilding a whole company on the same system, the pattern was identical both times. The training was never the problem. The absence of a second month was.
The people who own the number
Marketing, CRM, and operations leaders who put the frameworks 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."
Craig Premo, Director of Marketing, RosmanSearchGoals, 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.
"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."
Toey Chitmanasak, Regional CRM & Data Manager, MichelinShe 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."
Maibritt Harritz Grosen, Chief Operations Officer, ClearwaterThe 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. Open 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 reorganisation can move a team back a stage. Where you are is what matters, not how big you are.
Two programmes, run together on purpose.
Learn it by building it, and keep it working by being trained on it.
Agentic AI Academy for GTM and Marketing
Training and coaching for the whole team, on your own live GTM work. Start with a workshop or the Foundation Programme, 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 AcademyThe Growth EngineConsulting, support, and deployment
While your team builds, we support the build. Monthly sessions on your live GTM work, your own skill and context library, architecture review, and the operations and maintenance guidance that keeps the system running as it grows and as the ground moves.
Explore the Growth EngineBuilt 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.
Built on a decade inside the growth of global products
Why teams work with AI Strategy League
A course teaches your team the tool. An agency runs it for them. Neither leaves capability behind. Your team builds the system on your own work, on your own voice, measured at every stage, and keeps it. Taught by a team with the track record to prove it.
Talk to GraceWhat you are actually thinking
A licence is a tool. This is the capability to design the workflow around it: what to build for your funnel, how to govern the output, and who approves what. Tools change every quarter. The architecture does not.
The honest question back is: what is still running from it? One-time training creates a spike that fades, because the ground moves faster than an annual course update. This is built as a subscription for exactly that reason. Your team learns on your live work, and the capability stays current every month.
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.
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. The number we track with you is how many agents are still running at ninety days.
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.
Grace led AI adoption and enablement across marketing, e-commerce, and paid media in 12 EMEA markets at Canon, upskilling more than 100 employees through a six-month programme. Before that she drove growth and marketing at Microsoft and Pfizer, influencing more than $2B in revenue. She now runs her own company on the exact system we teach, in public. This site and the system behind it were built the same way.
Find out where your team actually is.
Five stages, and most teams are in the first two. Read through them, find the one that sounds like your week, and we will take it from there.