$2-Billion-Dollar Outcomes
Systems that drove $2-Billion+ at Microsoft and SMEs.
15+ Years Designing Execution Systems
Product, growth, and go-to-market, B2B & DTC.
1,200+ Hours With Founders & Cross-Functional Experts
Turning strategy into real execution.
Built Across Scales
From global platforms to early-stage teams.
Proven impact for global teams
The AI-Native System
AI Strategy League is designed with adoption, incentives, and outcomes in mind.
Design and ship AI-native systems that work in the real world across product, engineering, design, and growth.
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Built for Real-World Adoption
Systems start with real user intent and behavior — not abstract features.
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Behavioral Feedback Loops
Activation, retention, and conversion are designed into the system from day one.
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Outcome-Driven by Design
Every system is built to produce measurable outcomes within real constraints: time, trust, incentives, and operations.
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Intent → System Design
We begin by defining the real user decisions, incentives, and constraints the product must operate within.
Real behavior, not only ideal users, or hypothetical flows.
System → Execution Loops
Intent is translated into AI-native execution across product, engineering, design, and go-to-market.
Workflows, interfaces, and decision points are designed as one operating system.
Execution → Feedback
Activation, retention, and learning loops are built directly into the system.
Every interaction produces signal, not noise.
Feedback → Outcomes
The system is measured by what actually changes behavior and compounds over time.
If it doesn’t ship, scale, or produce outcomes, it’s redesigned. If a system doesn’t change behavior or produce results, it doesn’t count.
Design, Build, Scale
Explore the AI Strategy League Ecosystem
Three ways to design, ship, and scale AI-native products that work, from first system to commercial growth.
Current Cohort: Enter the League
Join a selective cohort designing and shipping AI-native systems grounded in real user intent, incentives, and outcomes.
This is where builders turn AI strategy into production-ready products together.
Outcome Metric
→ Ship a working AI-native system in each cohort.
AI-Native Library & Resources
A living library of AI-native frameworks, system patterns, and playbooks shaped by real builds.
Designed to support activation, retention, and conversion from day one.
Outcome Metric
→ Reuse proven system patterns across products and teams.
Next Level: Scale What You Built
Turn a working AI-native product into a scalable business.
Apply growth strategy, go-to-market systems, and AI-powered marketing workflows to drive adoption, revenue, and long-term scale within real commercial constraints.
Outcome Metric
→ Drive measurable adoption, revenue, and retention.
Wall of Love
Trusted and supported by industry leaders
Design and ship AI-native systems that work in the real world across product, engineering, design, and growth.
"As I was exploring the mental health product area, Grace was gracious in sharing her time to be a sounding board to my product idea.
She provided nuanced approaches to creating value for target customers, and shared her excitement toward the future potential of the product.
If you have a product idea and looking for feedback on AI-enabled products, I recommend speaking to Grace."
Jae Kim
Head of Product | ex-Meta & ex-BlackBerry | Enterprise B2B SaaS |
"Grace is an inspiring leader with a real gift for making complex ideas feel clear and approachable.
Whether you're just starting out or looking to take things to the next level, her guidance and insights are incredibly valuable. She's thoughtful and truly committed to helping others grow.
I would highly recommend her to anyone looking to deepen their understanding of AI strategy or leadership."
Toey C.
Regional CRM & Data Manager at Michelin
"Grace, our session today was another productive one! You continue to provide invaluable guidance and support.
Your insights into the industry and your ability to connect the dots are truly impressive.
I left today's session feeling inspired to dig deep on some new topics. Thank you Grace."
Jeremy Edwards
Senior Product Leader, ex-SAP
Explore
Options to work with us
We are excited to share innovative ideas from our teams. Each project showcases our commitment to excellence.
The Story of AI Strategy League
Grace Man
AI Strategy League was founded by Grace Man after more than 15 years strategizing and operating at the intersection of product, growth, and technology inside both global enterprises and fast-scaling teams.
Before building the League, Grace led AI, analytics, and growth initiatives across organizations such as Microsoft, Canon, and global brands including Hyundai, Activision, Breitling, and more, driving nine-figure revenue impact and scaling multi-million-dollar ARR systems.
But the real insight didn’t come from success.
It came from watching AI initiatives stall, not because the technology failed, but because systems were designed without adoption, incentives, and real-world constraints in mind.
AI Strategy League exists to fix that, and and enhance that.
STRATEGIES
01
Strategic AI Solutions for Incremental ROI
We develop strategic solutions that leverage AI and technology to build effective digital ecosystems, driving profitability and ensuring long-term business sustainability.
02
Strategic AI Marketing Consultanting
We focus on next-generation, AI-driven marketing approaches that enable substantial business growth through strategic transformation and innovation.
03
AI Investment Strategies
We deliver quantifiable, superior returns by integrating deep market intelligence with targeted AI strategies designed for sustained financial growth.
04
Hybrid Coaching
Our academy provide educational resources, courses, hybrid coaching, and mentoring in professional development for future-ready leadership.