Free Lesson

From Product Signals to Automated Growth

Hosted by Grace Man and Godhuli Chatterjee

Tue, Jul 14, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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Agentic AI Operating System for Product Growth and Marketing
Grace Man
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What you'll learn

Turn Deterministic Launches Into Compounding Loops

Bridge model trade-offs and customer expansion: product designs the signal, growth acts, AI runs the loop.

Spot the Product Signals Worth Acting On

You'll know which signals are clean and timely enough for an agent to act on, and which only create noise.

Predict User Intent and Show the Evidence

See how behavior becomes a named intent, like comparing plans or about to churn, with the why attached.

Watch an Agent Turn the Signal Into Action

An agent drafts the email, nudge, or sales alert from the intent, and you approve it before anything sends.

Why this topic matters

Your product generates intent signals every day, most of all at launch: pricing page visits, stalled onboarding, usage decay. By the time your team acts, the moment has passed. The gap is not effort. It is the loop between signal, intent, and action, which runs on exports and meetings. This session closes one loop live: a real signal, a predicted intent, and an agent drafted action you approve.

You'll learn from

Grace Man

Founder @ AI Strategy League, Marketing @ Ex-Microsoft

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Grace Man drove growth at Microsoft, Canon, and Pfizer, influencing $2B+ in revenue with 376% YoY growth, and has trained 2,000+ professionals in AI driven product growth, marketing, and CRM. As founder of AI Strategy League she teaches the system she runs: a five agent flywheel, research, content, outbound, and CRM, governed by one human. Today she embeds with product, growth, and marketing teams to ship agentic systems that reach 95 percent adoption within six weeks.

Godhuli Chatterjee

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

Connect on 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.

Amazon, Microsoft, Google, Pfizer

Amazon
Microsoft
Google
Pfizer
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