The AI Go-to-Market Playbook: From Product-Market Fit to Revenue at Scale
About this session
Every day, new AI products launch but only a small percentage achieve meaningful customer adoption or sustainable revenue. Building an impressive AI model is no longer the competitive advantage. Winning customers, earning trust, proving ROI, and creating a repeatable go-to-market engine are.
In this session, Shweta Agrawal shares a practical playbook for transforming AI innovation into scalable business growth. Drawing from her experience advising startups, mentoring founders, and leading AI product and go-to-market initiatives, she will explore why many AI companies struggle after launch and what the highest-performing teams do differently.
Attendees will learn how to identify true product-market fit, position AI around customer outcomes instead of technology, design pricing and commercialization strategies, accelerate enterprise adoption, and build a repeatable revenue engine that scales.
Whether you're launching your first AI product or scaling an enterprise AI platform, this session provides practical frameworks, real-world case studies, and actionable strategies you can apply immediately
Speaker
Key takeaways
- Validate AI Product-Market Fit Learn the signals that indicate customers truly need your AI solution and the warning signs that you're solving the wrong problem.
- Build an AI Go-to-Market Strategy That Works Understand positioning, messaging, pricing, packaging, and customer acquisition strategies that drive adoption instead of hype.
- Scale from Early Customers to Predictable Revenue Learn practical frameworks for moving beyond pilots and proof-of-concepts to repeatable growth and long-term customer success.