Free Lesson

Map Your Agentic Growth Workflow for AI Product

Hosted by Grace Man and Godhuli Chatterjee

Wed, Oct 21, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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The Agentic Growth OS for Enterprise-Scale Leaders
Grace Man
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What you'll learn

Map how a product signal becomes a growth action

Understand how to map and name the trigger, decider, and action, and identify which part of the loop is missing today.

Architect and gate one capability in the agentic growth OS

Design one agentic growth workflow and capability, define the human gatekeeper, and identify the one number it reports.

Design your AI product's cost, privacy, and intelligence

You set what each agent can spend, see, and run on, so your product stays affordable, private, and smart.

Why this topic matters

You have shipped your (AI) products, or agents, and growth still arrives in spikes. The gap is architecture, not effort. Nobody has drawn how a product signal becomes an action, who approves it before it runs, and what single number it moves, so nothing compounds. In 1 hour you architect one capability on your own product, gated and owned, and leave with it drawn and ready to build.

You'll learn from

Grace Man

Corporate Agentic AI Partner | Ex-Microsoft | Founder, AI Strategy League

LinkedIn | Articles | AI Strategy League

Grace has trained and coached more than 3,000 professionals in agentic AI for growth and marketing through corporate and executive workshops, with learners from Google, Meta, and other leading companies.

Grace spent 15 years building and running growth and marketing at Microsoft, Canon, and Pfizer, influencing more than $2B in revenue. She teaches what she runs. AI Strategy League operates on the same agentic system taught in these sessions, and every session builds something live rather than demonstrating a finished result. Keynote speaker and chairperson at the AI and Big Data Expo, DMWF, and Performance Marketing World.

Godhuli Chatterjee

Principal PM at Amazon. Coached 2,000+ professionals through career moves.

LinkedIn

Technology Strategist with 20 years of experience driving massive global scale at Amazon, Google, and Microsoft. As an elite B2B and B2C product leader, I have spearheaded cross-functional initiatives managing a 1B+ customer base and driving up to $39B in revenue. Key technical and product highlights include directing the cross-functional engineering team behind Windows BitLocker v10 (1B+ users), and architecting the AWS Titan-based Sentiment Predictor infrastructure. Beyond organizational hiring, I have directly coached over 2,000 learners across product, program, and technical verticals. By designing targeted development strategies and leadership frameworks, I have actively shaped inclusive team cultures and accelerated long-term career growth paths for enterprise talent clearing elite Tier 1 bars.

Previously at

Microsoft
Google
Amazon
See all products from Grace

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