Design the Agentic Workflow That Grows Your AI Product
Hosted by Grace Man and Godhuli Chatterjee
Tue, Jul 28, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Tue, Jul 28, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
423 students
Go deeper with a course
What you'll learn
Map how a product signal becomes a growth action
Design your AI product's cost, privacy, and intelligence
See a live agentic workflow run
Leave with the workflow drawn and first agent architecture
Why this topic matters
You'll learn from
Grace Man
VP, Product Growth | Ex-Microsoft
Connect on LinkedIn | Weekly Insights | AI Strategy League
Grace trains, teaches, and educates product, growth, and marketing leaders, 3,000+ professionals so far, with learners from Google, Microsoft, Meta, and more. She teaches teams to build the product growth system for teams and agents: agentic AI systems that turn everyday signals into pipeline and revenue, and reach 95 percent adoption within six weeks. She drove growth at Microsoft, Canon, and Pfizer, influencing over $2B in revenue with 376 percent year-on-year growth.
Godhuli Chatterjee
Principal PM at Amazon. Coached 2,000+ professionals through career moves.
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