​Building AI products is getting easier. Making them profitable is the next hard problem.

​2024 was the experiment: What if AI could…?

​2025 was production: It works.

​2026 is the P&L: Does it make money?

​Your AI feature shipped. Customers are using it. Now the harder questions arrive:

• ​Is this a feature customers are willing to pay for?
• ​Which pricing model works: seats, usage, outcomes, or a hybrid?
• ​What happens to margins as inference, evaluations, retries, and data costs scale?
• ​Are customers renewing because you’re creating value or are they merely trying it?
• ​What does a credible AI-native P&L look like from an investor lens?

​Four operators on the hardest AI question: is it a feature, or is it a business?

• ​Kamalkanth Tummala (VP, India GTM — Databricks)
• ​Manish Maheshwari (Country Business Head, India — Stripe)
• ​Shivam Rajvanshi (Principal, AI Investor — Together Fund)
• ​Syed Adil (Head of India Growth — Replit)

​Together, they will unpack the commercial operating model behind AI-native products: what customers value, how to price it, what it costs to deliver, and what signals show whether the business can compound.

​Agenda

• ​5:30–6:00 PM — Arrival, registration, and networking
• ​6:00–6:30 PM — Opening: From idea to production to P&L
• ​6:30–7:00 PM — Pricing, margin, and retention: seats, usage, outcomes, hybrids, and the AI cost base
• ​7:00–7:30 PM — Audience Q&A

​Who should attend

​Founders thinking about AI profitability, and CTOs, Heads of Product, and revenue leaders with an AI product already in the market.

​Please note: personal email ID registrations won’t be accepted